Data Science Jobs 2026 (Now Hiring) – Smart Auto Apply

WHO WE ARE TIFIN builds AI-powered financial technology that personalizes and improves financial advice across consumers, advisors, workplaces, and institutions. Our modular platform embeds finance-tuned AI to deliver dynamic, tailored guidance at scale-without added complexity. Combining proprietary models, specialized data, and a fast-paced engineering culture, we create secure, compliant tools that power real outcomes. Other differentiators include: Speed: Our ability to stand up businesses at 2-4x the speed of typical fintech companies (building MVPs in 3 months and production-ready products in 6-12 months) Track Record: Previous exits include 55ip (acquired by J.P. Morgan) and Paralel Strategic Partners: Partners include J.P. Morgan, Franklin Templeton, Morningstar, Broadridge, Hamilton Lane, Motive Partners and SEI. World-Class Team: Complimentary financial services & technical expertise from Google, Microsoft, Uber, PayPal, eBay, Techstars, BlackRock, LPL, Franklin Templeton, Morgan Stanley, Broadridge and more. OUR VALUES: Go with your GUT Grow at the Edge. We are driven by personal growth fueled by a beginner's mindset. We get out of our comfort zone and keep egos aside. With self-awareness and integrity we strive to be the best we can possibly be. No excuses. Understanding through Listening and Speaking the Truth. We communicate with authenticity, precision and integrity to create a shared understanding. We identify opportunities within constraints and propose solutions in service to the team. I Win for Teamwin. We believe in staying within our genius zones to succeed and taking accountability for driving results. We are all individual contributors first and always thinking about what can be better. ROLE OVERVIEW As a Data Scientist you will own and lead projects across one or more of our supervised machine learning product lines. We are looking for individuals who have worked end-to-end and have experience building products where machine learning models are a core component. This is an individual contributor role working closely with data science, engineering, client success and business leadership, reporting into the CEO. PROJECTS Supervised ML Models: Build, train, and validate supervised machine learning models to predict engagement, churn and conversion and deliver lead scoring, segmentation, and recommendations. ML & Product Integration: Work with engineering teams to integrate models into the platform. Human-in-the-Loop Collaboration: AI-powered co-pilot for advisors and other user personas, streamlining workflows such as prospecting, conversion, and client servicing. Product Development: Collaborate with Clients, Customer Success and Leadership to scope and develop new models and product features. WHAT YOU'LL DO Design and implement ML solutions to deliver measurable ROI within our clients' fund distribution channels Develop across the data science pipeline, from feature store ETL to batch transform jobs with trained ML models, leveraging AWS (Sagemaker, Redshift, S3) and/or Snowflake Model complex fund distribution problems and discover insights through the use of machine learning and statistics techniques (A/B testing, RCTs) Create meaningful data visualizations to communicate results and highlight business impact Manage product development deadlines, overcome roadblocks, and manage internal and external expectations WHAT YOU'LL BRING 4+ years of experience in applied data science working in Python, SQL, DBT Experience shipping ML products, including feature engineering, training, and tuning machine learning models. Resilience and adaptability - experience working at early-stage startups is a plus COMPENSATION AND BENEFITS The expected starting salary range for this position in Colorado is $140,000 - $180,000. In addition to cash compensation, a meaningful equity stake is a significant part of the overall package. Package also includes benefits program eligibility: Comprehensive health, dental and vision coverage, retirement benefits and flexible PTO. TIFIN is proud to be an equal opportunity workplace and values the multitude of talents and perspectives that a diverse workforce brings. All qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status. Please see more details on our privacy practices in our Privacy Notice here.

WHO WE ARE TIFIN builds AI-powered financial technology that personalizes and improves financial advice across consumers, advisors, workplaces, and institutions. Our modular platform embeds finance-tuned AI to deliver dynamic, tailored guidance at scale-without added complexity. Combining proprietary models, specialized data, and a fast-paced engineering culture, we create secure, compliant tools that power real outcomes. Other differentiators include: Speed: Our ability to stand up businesses at 2-4x the speed of typical fintech companies (building MVPs in 3 months and production-ready products in 6-12 months) Track Record: Previous exits include 55ip (acquired by J.P. Morgan) and Paralel Strategic Partners: Partners include J.P. Morgan, Franklin Templeton, Morningstar, Broadridge, Hamilton Lane, Motive Partners and SEI. World-Class Team: Complimentary financial services & technical expertise from Google, Microsoft, Uber, PayPal, eBay, Techstars, BlackRock, LPL, Franklin Templeton, Morgan Stanley, Broadridge and more. OUR VALUES: Go with your GUT Grow at the Edge. We are driven by personal growth fueled by a beginner's mindset. We get out of our comfort zone and keep egos aside. With self-awareness and integrity we strive to be the best we can possibly be. No excuses. Understanding through Listening and Speaking the Truth. We communicate with authenticity, precision and integrity to create a shared understanding. We identify opportunities within constraints and propose solutions in service to the team. I Win for Teamwin. We believe in staying within our genius zones to succeed and taking accountability for driving results. We are all individual contributors first and always thinking about what can be better. ROLE OVERVIEW As a Data Scientist you will own and lead projects across one or more of our supervised machine learning product lines. We are looking for individuals who have worked end-to-end and have experience building products where machine learning models are a core component. This is an individual contributor role working closely with data science, engineering, client success and business leadership, reporting into the CEO. PROJECTS Supervised ML Models: Build, train, and validate supervised machine learning models to predict engagement, churn and conversion and deliver lead scoring, segmentation, and recommendations. ML & Product Integration: Work with engineering teams to integrate models into the platform. Human-in-the-Loop Collaboration: AI-powered co-pilot for advisors and other user personas, streamlining workflows such as prospecting, conversion, and client servicing. Product Development: Collaborate with Clients, Customer Success and Leadership to scope and develop new models and product features. WHAT YOU'LL DO Design and implement ML solutions to deliver measurable ROI within our clients' fund distribution channels Develop across the data science pipeline, from feature store ETL to batch transform jobs with trained ML models, leveraging AWS (Sagemaker, Redshift, S3) and/or Snowflake Model complex fund distribution problems and discover insights through the use of machine learning and statistics techniques (A/B testing, RCTs) Create meaningful data visualizations to communicate results and highlight business impact Manage product development deadlines, overcome roadblocks, and manage internal and external expectations WHAT YOU'LL BRING 4+ years of experience in applied data science working in Python, SQL, DBT Experience shipping ML products, including feature engineering, training, and tuning machine learning models. Resilience and adaptability - experience working at early-stage startups is a plus COMPENSATION AND BENEFITS The expected starting salary range for this position in Colorado is $140,000 - $180,000. In addition to cash compensation, a meaningful equity stake is a significant part of the overall package. Package also includes benefits program eligibility: Comprehensive health, dental and vision coverage, retirement benefits and flexible PTO. TIFIN is proud to be an equal opportunity workplace and values the multitude of talents and perspectives that a diverse workforce brings. All qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status. Please see more details on our privacy practices in our Privacy Notice here.

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: People Leader All Job Posting Locations: Cambridge, Massachusetts, United States of America, La Jolla, California, United States of America, New Brunswick, New Jersey, United States of America, Raritan, New Jersey, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: Johnson and Johnson Innovative Medicine is recruiting for a Director, Oncology Enterprise Data Science to aid design, build, and govern the technology backbone that connects data and delivers AI-based solutions across pharmaceutical life cycle. You'll translate business needs into a strategy and execution plan for enterprise AI-based solutions for Oncology R&D. This will include well-formed ontologies, controlled vocabularies, and semantic standards that power interoperability, search and discovery, analytics, and AI/ML. The role links together business needs with product thinking, partnering closely with governance, knowledge management, and domain stakeholders. You are a leading strategic and tactical contributor and creative problem solver. The primary location for this position is either New Brunswick, NJ or Spring House, PA, Cambridge, MA, Raritan, NJ and Titusville, NJ, La Jolla, CA or other JRD locations. Johnson & Johnson Innovative Medicine develops treatments that improve the health of people worldwide. Research and development areas encompass oncology, cardiovascular and metabolic disorders, immunology, pulmonary hypertension, retinal disorders, and neuroscience. Our goal is to help people live longer, healthier lives. We have produced and marketed many first-in-class prescription medications and are poised to serve the broad needs of the healthcare market - from patients to practitioners and from clinics to hospitals. To learn more about Janssen, one of the Pharmaceutical Companies of Johnson & Johnson, visit https://www.janssen.com/johnson-johnson-innovative-medicine . Primary Responsibilities You will work with Data Science and Oncology R&D business leaders to translate AI-based enterprise business opportunities into hands on research plans. This includes technical execution of AI projects, including study design, technology builds that deliver scientific insights to the Oncology R&D pipeline. Deliver AI-solutions across a wide range of data domains for the R&D pipeline, including discovery, translational and clinical trial data. Serve as a key contributor to the over-arching enterprise AI strategy and to enable the scaling and deployment of tools aimed at the broader R&D community. Work with multidisciplinary teams who will model, code, test, and release ontology modules and mappings that power knowledge graph, master/reference data, analytics, and AI/LLM applications to Oncology R&D Scientists. Participate in a wider community of scientists standardizing biomedical data across R&D aimed at increasing AI Readiness and delivering AI solutions across a broad range of data domains Evaluate and deliver external partnering opportunities to access cutting edge technologies to apply AI to diverse R&D data sets. Qualifications: Desired Ph.D. or master's degree in bioengineering, computer science, IT, bioinformatics, or related fields, emphasis on technologies and biomedical applications. 5+ years of experience delivering data-rich, computational solutions to scientific problems in the healthcare industry. Foundational knowledge and experience in machine learning, and AI. Experience with NLP, LLM, Generative models important. Familiarity with foundational technologies required for the execution of AI projects (e.g. git usage, technology stacks, DeveOps tools) Familiarity large-scale knowledge graphs construction, ontology development and pharmaceutical or healthcare domains integration. Strong skills in analysis, problem-solving, organizational change, project delivery, and managing external vendors. Proven record leading technology initiatives with multi-disciplinary and remote partners. Demonstrated stakeholder management capabilities- including requirements gathering, business analysis and planning. Must have the capacity to translate discussions into user requirements and project plans. Willingness to conduct periodic travel ( Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center (ra-employeehealthsup@its.jnj.com) or contact AskGS to be directed to your accommodation resource. #JRDDS #JNJDataScience #JNJIMRND-DS Required Skills: Preferred Skills: Advanced Analytics, Budget Management, Compliance Management, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Developing Others, Digital Fluency, Inclusive Leadership, Leadership, Program Management, Strategic Thinking, Succession Planning The anticipated base pay range for this position is : $164,000.00 - $282,900.00 Additional Description for Pay Transparency: Subject to the terms of their respective plans, employees are eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Company's long-term incentive program. Subject to the terms of their respective policies and date of hire, employees are eligible for the following time off benefits: Vacation- 120 hours per calendar year Sick time- 40 hours per calendar year; for employees who reside in the State of Colorado- 48 hours per calendar year; for employees who reside in the State of Washington- 56 hours per calendar year Holiday pay, including Floating Holidays- 13 days per calendar year Work, Personal and Family Time - up to 40 hours per calendar year Parental Leave- 480 hours within one year of the birth/adoption/foster care of a child Bereavement Leave- 240 hours for an immediate family member: 40 hours for an extended family member per calendar year Caregiver Leave- 80 hours in a 52-week rolling period10 days Volunteer Leave- 32 hours per calendar year Military Spouse Time-Off- 80 hours per calendar year For additional general information on Company benefits, please go to: - https://www.careers.jnj.com/employee-benefits

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: People Leader All Job Posting Locations: Cambridge, Massachusetts, United States of America, La Jolla, California, United States of America, New Brunswick, New Jersey, United States of America, Raritan, New Jersey, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: Johnson and Johnson Innovative Medicine is recruiting for a Director, Oncology Enterprise Data Science to aid design, build, and govern the technology backbone that connects data and delivers AI-based solutions across pharmaceutical life cycle. You'll translate business needs into a strategy and execution plan for enterprise AI-based solutions for Oncology R&D. This will include well-formed ontologies, controlled vocabularies, and semantic standards that power interoperability, search and discovery, analytics, and AI/ML. The role links together business needs with product thinking, partnering closely with governance, knowledge management, and domain stakeholders. You are a leading strategic and tactical contributor and creative problem solver. The primary location for this position is either New Brunswick, NJ or Spring House, PA, Cambridge, MA, Raritan, NJ and Titusville, NJ, La Jolla, CA or other JRD locations. Johnson & Johnson Innovative Medicine develops treatments that improve the health of people worldwide. Research and development areas encompass oncology, cardiovascular and metabolic disorders, immunology, pulmonary hypertension, retinal disorders, and neuroscience. Our goal is to help people live longer, healthier lives. We have produced and marketed many first-in-class prescription medications and are poised to serve the broad needs of the healthcare market - from patients to practitioners and from clinics to hospitals. To learn more about Janssen, one of the Pharmaceutical Companies of Johnson & Johnson, visit https://www.janssen.com/johnson-johnson-innovative-medicine . Primary Responsibilities You will work with Data Science and Oncology R&D business leaders to translate AI-based enterprise business opportunities into hands on research plans. This includes technical execution of AI projects, including study design, technology builds that deliver scientific insights to the Oncology R&D pipeline. Deliver AI-solutions across a wide range of data domains for the R&D pipeline, including discovery, translational and clinical trial data. Serve as a key contributor to the over-arching enterprise AI strategy and to enable the scaling and deployment of tools aimed at the broader R&D community. Work with multidisciplinary teams who will model, code, test, and release ontology modules and mappings that power knowledge graph, master/reference data, analytics, and AI/LLM applications to Oncology R&D Scientists. Participate in a wider community of scientists standardizing biomedical data across R&D aimed at increasing AI Readiness and delivering AI solutions across a broad range of data domains Evaluate and deliver external partnering opportunities to access cutting edge technologies to apply AI to diverse R&D data sets. Qualifications: Desired Ph.D. or master's degree in bioengineering, computer science, IT, bioinformatics, or related fields, emphasis on technologies and biomedical applications. 5+ years of experience delivering data-rich, computational solutions to scientific problems in the healthcare industry. Foundational knowledge and experience in machine learning, and AI. Experience with NLP, LLM, Generative models important. Familiarity with foundational technologies required for the execution of AI projects (e.g. git usage, technology stacks, DeveOps tools) Familiarity large-scale knowledge graphs construction, ontology development and pharmaceutical or healthcare domains integration. Strong skills in analysis, problem-solving, organizational change, project delivery, and managing external vendors. Proven record leading technology initiatives with multi-disciplinary and remote partners. Demonstrated stakeholder management capabilities- including requirements gathering, business analysis and planning. Must have the capacity to translate discussions into user requirements and project plans. Willingness to conduct periodic travel ( Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center (ra-employeehealthsup@its.jnj.com) or contact AskGS to be directed to your accommodation resource. #JRDDS #JNJDataScience #JNJIMRND-DS Required Skills: Preferred Skills: Advanced Analytics, Budget Management, Compliance Management, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Developing Others, Digital Fluency, Inclusive Leadership, Leadership, Program Management, Strategic Thinking, Succession Planning The anticipated base pay range for this position is : $164,000.00 - $282,900.00 Additional Description for Pay Transparency: Subject to the terms of their respective plans, employees are eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Company's long-term incentive program. Subject to the terms of their respective policies and date of hire, employees are eligible for the following time off benefits: Vacation- 120 hours per calendar year Sick time- 40 hours per calendar year; for employees who reside in the State of Colorado- 48 hours per calendar year; for employees who reside in the State of Washington- 56 hours per calendar year Holiday pay, including Floating Holidays- 13 days per calendar year Work, Personal and Family Time - up to 40 hours per calendar year Parental Leave- 480 hours within one year of the birth/adoption/foster care of a child Bereavement Leave- 240 hours for an immediate family member: 40 hours for an extended family member per calendar year Caregiver Leave- 80 hours in a 52-week rolling period10 days Volunteer Leave- 32 hours per calendar year Military Spouse Time-Off- 80 hours per calendar year For additional general information on Company benefits, please go to: - https://www.careers.jnj.com/employee-benefits

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: People Leader All Job Posting Locations: Cambridge, Massachusetts, United States of America, La Jolla, California, United States of America, New Brunswick, New Jersey, United States of America, Raritan, New Jersey, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: Johnson and Johnson Innovative Medicine is recruiting for a Director, Oncology Enterprise Data Science to aid design, build, and govern the technology backbone that connects data and delivers AI-based solutions across pharmaceutical life cycle. You’ll translate business needs into a strategy and execution plan for enterprise AI-based solutions for Oncology R&D. This will include well-formed ontologies, controlled vocabularies, and semantic standards that power interoperability, search and discovery, analytics, and AI/ML. The role links together business needs with product thinking, partnering closely with governance, knowledge management, and domain stakeholders. You are a leading strategic and tactical contributor and creative problem solver. The primary location for this position is either New Brunswick, NJ or Spring House, PA, Cambridge, MA, Raritan, NJ and Titusville, NJ, La Jolla, CA or other JRD locations. Johnson & Johnson Innovative Medicine develops treatments that improve the health of people worldwide. Research and development areas encompass oncology, cardiovascular and metabolic disorders, immunology, pulmonary hypertension, retinal disorders, and neuroscience. Our goal is to help people live longer, healthier lives. We have produced and marketed many first-in-class prescription medications and are poised to serve the broad needs of the healthcare market – from patients to practitioners and from clinics to hospitals. To learn more about Janssen, one of the Pharmaceutical Companies of Johnson & Johnson, visit https://www.janssen.com/johnson-johnson-innovative-medicine . Primary Responsibilities You will work with Data Science and Oncology R&D business leaders to translate AI-based enterprise business opportunities into hands on research plans. This includes technical execution of AI projects, including study design, technology builds that deliver scientific insights to the Oncology R&D pipeline. Deliver AI-solutions across a wide range of data domains for the R&D pipeline, including discovery, translational and clinical trial data. Serve as a key contributor to the over-arching enterprise AI strategy and to enable the scaling and deployment of tools aimed at the broader R&D community. Work with multidisciplinary teams who will model, code, test, and release ontology modules and mappings that power knowledge graph, master/reference data, analytics, and AI/LLM applications to Oncology R&D Scientists. Participate in a wider community of scientists standardizing biomedical data across R&D aimed at increasing AI Readiness and delivering AI solutions across a broad range of data domains Evaluate and deliver external partnering opportunities to access cutting edge technologies to apply AI to diverse R&D data sets. Qualifications: Desired Ph.D. or master's degree in bioengineering, computer science, IT, bioinformatics, or related fields, emphasis on technologies and biomedical applications. 5+ years of experience delivering data-rich, computational solutions to scientific problems in the healthcare industry. Foundational knowledge and experience in machine learning, and AI.Experience with NLP, LLM, Generative models important. Familiarity with foundational technologies required for the execution of AI projects (e.g. git usage, technology stacks, DeveOps tools) Familiarity large-scale knowledge graphs construction, ontology development and pharmaceutical or healthcare domains integration. Strong skills in analysis, problem-solving, organizational change, project delivery, and managing external vendors. Proven record leading technology initiatives with multi-disciplinary and remote partners. Demonstrated stakeholder management capabilities- including requirements gathering, business analysis and planning.Must have the capacity to translate discussions into user requirements and project plans. Willingness to conduct periodic travel ( Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center (ra-employeehealthsup@its.jnj.com) or contact AskGS to be directed to your accommodation resource. #JRDDS #JNJDataScience #JNJIMRND-DS Required Skills: Preferred Skills: Advanced Analytics, Budget Management, Compliance Management, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Developing Others, Digital Fluency, Inclusive Leadership, Leadership, Program Management, Strategic Thinking, Succession Planning The anticipated base pay range for this position is : $164,000.00 - $282,900.00 Additional Description for Pay Transparency: Subject to the terms of their respective plans, employees are eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)).This position is eligible to participate in the Company’s long-term incentive program.Subject to the terms of their respective policies and date of hire, employees are eligible for the following time off benefits:Vacation –120 hours per calendar yearSick time - 40 hours per calendar year; for employees who reside in the State of Colorado –48 hours per calendar year; for employees who reside in the State of Washington –56 hours per calendar yearHoliday pay, including Floating Holidays –13 days per calendar yearWork, Personal and Family Time - up to 40 hours per calendar yearParental Leave – 480 hours within one year of the birth/adoption/foster care of a childBereavement Leave – 240 hours for an immediate family member: 40 hours for an extended family member per calendar yearCaregiver Leave – 80 hours in a 52-week rolling period10 daysVolunteer Leave – 32 hours per calendar yearMilitary Spouse Time-Off – 80 hours per calendar yearFor additional general information on Company benefits, please go to: - https://www.careers.jnj.com/employee-benefits

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: People Leader All Job Posting Locations: Cambridge, Massachusetts, United States of America, La Jolla, California, United States of America, New Brunswick, New Jersey, United States of America, Raritan, New Jersey, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: Johnson and Johnson Innovative Medicine is recruiting for a Director, Oncology Enterprise Data Science to aid design, build, and govern the technology backbone that connects data and delivers AI-based solutions across pharmaceutical life cycle. You'll translate business needs into a strategy and execution plan for enterprise AI-based solutions for Oncology R&D. This will include well-formed ontologies, controlled vocabularies, and semantic standards that power interoperability, search and discovery, analytics, and AI/ML. The role links together business needs with product thinking, partnering closely with governance, knowledge management, and domain stakeholders. You are a leading strategic and tactical contributor and creative problem solver. The primary location for this position is either New Brunswick, NJ or Spring House, PA, Cambridge, MA, Raritan, NJ and Titusville, NJ, La Jolla, CA or other JRD locations. Johnson & Johnson Innovative Medicine develops treatments that improve the health of people worldwide. Research and development areas encompass oncology, cardiovascular and metabolic disorders, immunology, pulmonary hypertension, retinal disorders, and neuroscience. Our goal is to help people live longer, healthier lives. We have produced and marketed many first-in-class prescription medications and are poised to serve the broad needs of the healthcare market - from patients to practitioners and from clinics to hospitals. To learn more about Janssen, one of the Pharmaceutical Companies of Johnson & Johnson, visit https://www.janssen.com/johnson-johnson-innovative-medicine . Primary Responsibilities You will work with Data Science and Oncology R&D business leaders to translate AI-based enterprise business opportunities into hands on research plans. This includes technical execution of AI projects, including study design, technology builds that deliver scientific insights to the Oncology R&D pipeline. Deliver AI-solutions across a wide range of data domains for the R&D pipeline, including discovery, translational and clinical trial data. Serve as a key contributor to the over-arching enterprise AI strategy and to enable the scaling and deployment of tools aimed at the broader R&D community. Work with multidisciplinary teams who will model, code, test, and release ontology modules and mappings that power knowledge graph, master/reference data, analytics, and AI/LLM applications to Oncology R&D Scientists. Participate in a wider community of scientists standardizing biomedical data across R&D aimed at increasing AI Readiness and delivering AI solutions across a broad range of data domains Evaluate and deliver external partnering opportunities to access cutting edge technologies to apply AI to diverse R&D data sets. Qualifications: Desired Ph.D. or master's degree in bioengineering, computer science, IT, bioinformatics, or related fields, emphasis on technologies and biomedical applications. 5+ years of experience delivering data-rich, computational solutions to scientific problems in the healthcare industry. Foundational knowledge and experience in machine learning, and AI. Experience with NLP, LLM, Generative models important. Familiarity with foundational technologies required for the execution of AI projects (e.g. git usage, technology stacks, DeveOps tools) Familiarity large-scale knowledge graphs construction, ontology development and pharmaceutical or healthcare domains integration. Strong skills in analysis, problem-solving, organizational change, project delivery, and managing external vendors. Proven record leading technology initiatives with multi-disciplinary and remote partners. Demonstrated stakeholder management capabilities- including requirements gathering, business analysis and planning. Must have the capacity to translate discussions into user requirements and project plans. Willingness to conduct periodic travel ( Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center (ra-employeehealthsup@its.jnj.com) or contact AskGS to be directed to your accommodation resource. #JRDDS #JNJDataScience #JNJIMRND-DS Required Skills: Preferred Skills: Advanced Analytics, Budget Management, Compliance Management, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Developing Others, Digital Fluency, Inclusive Leadership, Leadership, Program Management, Strategic Thinking, Succession Planning The anticipated base pay range for this position is : $164,000.00 - $282,900.00 Additional Description for Pay Transparency: Subject to the terms of their respective plans, employees are eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Company's long-term incentive program. Subject to the terms of their respective policies and date of hire, employees are eligible for the following time off benefits: Vacation- 120 hours per calendar year Sick time- 40 hours per calendar year; for employees who reside in the State of Colorado- 48 hours per calendar year; for employees who reside in the State of Washington- 56 hours per calendar year Holiday pay, including Floating Holidays- 13 days per calendar year Work, Personal and Family Time - up to 40 hours per calendar year Parental Leave- 480 hours within one year of the birth/adoption/foster care of a child Bereavement Leave- 240 hours for an immediate family member: 40 hours for an extended family member per calendar year Caregiver Leave- 80 hours in a 52-week rolling period10 days Volunteer Leave- 32 hours per calendar year Military Spouse Time-Off- 80 hours per calendar year For additional general information on Company benefits, please go to: - https://www.careers.jnj.com/employee-benefits

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: People Leader All Job Posting Locations: Cambridge, Massachusetts, United States of America, La Jolla, California, United States of America, New Brunswick, New Jersey, United States of America, Raritan, New Jersey, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: Johnson and Johnson Innovative Medicine is recruiting for a Director, Oncology Enterprise Data Science to aid design, build, and govern the technology backbone that connects data and delivers AI-based solutions across pharmaceutical life cycle. You'll translate business needs into a strategy and execution plan for enterprise AI-based solutions for Oncology R&D. This will include well-formed ontologies, controlled vocabularies, and semantic standards that power interoperability, search and discovery, analytics, and AI/ML. The role links together business needs with product thinking, partnering closely with governance, knowledge management, and domain stakeholders. You are a leading strategic and tactical contributor and creative problem solver. The primary location for this position is either New Brunswick, NJ or Spring House, PA, Cambridge, MA, Raritan, NJ and Titusville, NJ, La Jolla, CA or other JRD locations. Johnson & Johnson Innovative Medicine develops treatments that improve the health of people worldwide. Research and development areas encompass oncology, cardiovascular and metabolic disorders, immunology, pulmonary hypertension, retinal disorders, and neuroscience. Our goal is to help people live longer, healthier lives. We have produced and marketed many first-in-class prescription medications and are poised to serve the broad needs of the healthcare market - from patients to practitioners and from clinics to hospitals. To learn more about Janssen, one of the Pharmaceutical Companies of Johnson & Johnson, visit https://www.janssen.com/johnson-johnson-innovative-medicine . Primary Responsibilities You will work with Data Science and Oncology R&D business leaders to translate AI-based enterprise business opportunities into hands on research plans. This includes technical execution of AI projects, including study design, technology builds that deliver scientific insights to the Oncology R&D pipeline. Deliver AI-solutions across a wide range of data domains for the R&D pipeline, including discovery, translational and clinical trial data. Serve as a key contributor to the over-arching enterprise AI strategy and to enable the scaling and deployment of tools aimed at the broader R&D community. Work with multidisciplinary teams who will model, code, test, and release ontology modules and mappings that power knowledge graph, master/reference data, analytics, and AI/LLM applications to Oncology R&D Scientists. Participate in a wider community of scientists standardizing biomedical data across R&D aimed at increasing AI Readiness and delivering AI solutions across a broad range of data domains Evaluate and deliver external partnering opportunities to access cutting edge technologies to apply AI to diverse R&D data sets. Qualifications: Desired Ph.D. or master's degree in bioengineering, computer science, IT, bioinformatics, or related fields, emphasis on technologies and biomedical applications. 5+ years of experience delivering data-rich, computational solutions to scientific problems in the healthcare industry. Foundational knowledge and experience in machine learning, and AI. Experience with NLP, LLM, Generative models important. Familiarity with foundational technologies required for the execution of AI projects (e.g. git usage, technology stacks, DeveOps tools) Familiarity large-scale knowledge graphs construction, ontology development and pharmaceutical or healthcare domains integration. Strong skills in analysis, problem-solving, organizational change, project delivery, and managing external vendors. Proven record leading technology initiatives with multi-disciplinary and remote partners. Demonstrated stakeholder management capabilities- including requirements gathering, business analysis and planning. Must have the capacity to translate discussions into user requirements and project plans. Willingness to conduct periodic travel ( Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center (ra-employeehealthsup@its.jnj.com) or contact AskGS to be directed to your accommodation resource. #JRDDS #JNJDataScience #JNJIMRND-DS Required Skills: Preferred Skills: Advanced Analytics, Budget Management, Compliance Management, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Developing Others, Digital Fluency, Inclusive Leadership, Leadership, Program Management, Strategic Thinking, Succession Planning The anticipated base pay range for this position is : $164,000.00 - $282,900.00 Additional Description for Pay Transparency: Subject to the terms of their respective plans, employees are eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Company's long-term incentive program. Subject to the terms of their respective policies and date of hire, employees are eligible for the following time off benefits: Vacation- 120 hours per calendar year Sick time- 40 hours per calendar year; for employees who reside in the State of Colorado- 48 hours per calendar year; for employees who reside in the State of Washington- 56 hours per calendar year Holiday pay, including Floating Holidays- 13 days per calendar year Work, Personal and Family Time - up to 40 hours per calendar year Parental Leave- 480 hours within one year of the birth/adoption/foster care of a child Bereavement Leave- 240 hours for an immediate family member: 40 hours for an extended family member per calendar year Caregiver Leave- 80 hours in a 52-week rolling period10 days Volunteer Leave- 32 hours per calendar year Military Spouse Time-Off- 80 hours per calendar year For additional general information on Company benefits, please go to: - https://www.careers.jnj.com/employee-benefits

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: People Leader All Job Posting Locations: Cambridge, Massachusetts, United States of America, La Jolla, California, United States of America, New Brunswick, New Jersey, United States of America, Raritan, New Jersey, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: Johnson and Johnson Innovative Medicine is recruiting for a Director, Oncology Enterprise Data Science to aid design, build, and govern the technology backbone that connects data and delivers AI-based solutions across pharmaceutical life cycle. You'll translate business needs into a strategy and execution plan for enterprise AI-based solutions for Oncology R&D. This will include well-formed ontologies, controlled vocabularies, and semantic standards that power interoperability, search and discovery, analytics, and AI/ML. The role links together business needs with product thinking, partnering closely with governance, knowledge management, and domain stakeholders. You are a leading strategic and tactical contributor and creative problem solver. The primary location for this position is either New Brunswick, NJ or Spring House, PA, Cambridge, MA, Raritan, NJ and Titusville, NJ, La Jolla, CA or other JRD locations. Johnson & Johnson Innovative Medicine develops treatments that improve the health of people worldwide. Research and development areas encompass oncology, cardiovascular and metabolic disorders, immunology, pulmonary hypertension, retinal disorders, and neuroscience. Our goal is to help people live longer, healthier lives. We have produced and marketed many first-in-class prescription medications and are poised to serve the broad needs of the healthcare market - from patients to practitioners and from clinics to hospitals. To learn more about Janssen, one of the Pharmaceutical Companies of Johnson & Johnson, visit https://www.janssen.com/johnson-johnson-innovative-medicine . Primary Responsibilities You will work with Data Science and Oncology R&D business leaders to translate AI-based enterprise business opportunities into hands on research plans. This includes technical execution of AI projects, including study design, technology builds that deliver scientific insights to the Oncology R&D pipeline. Deliver AI-solutions across a wide range of data domains for the R&D pipeline, including discovery, translational and clinical trial data. Serve as a key contributor to the over-arching enterprise AI strategy and to enable the scaling and deployment of tools aimed at the broader R&D community. Work with multidisciplinary teams who will model, code, test, and release ontology modules and mappings that power knowledge graph, master/reference data, analytics, and AI/LLM applications to Oncology R&D Scientists. Participate in a wider community of scientists standardizing biomedical data across R&D aimed at increasing AI Readiness and delivering AI solutions across a broad range of data domains Evaluate and deliver external partnering opportunities to access cutting edge technologies to apply AI to diverse R&D data sets. Qualifications: Desired Ph.D. or master's degree in bioengineering, computer science, IT, bioinformatics, or related fields, emphasis on technologies and biomedical applications. 5+ years of experience delivering data-rich, computational solutions to scientific problems in the healthcare industry. Foundational knowledge and experience in machine learning, and AI. Experience with NLP, LLM, Generative models important. Familiarity with foundational technologies required for the execution of AI projects (e.g. git usage, technology stacks, DeveOps tools) Familiarity large-scale knowledge graphs construction, ontology development and pharmaceutical or healthcare domains integration. Strong skills in analysis, problem-solving, organizational change, project delivery, and managing external vendors. Proven record leading technology initiatives with multi-disciplinary and remote partners. Demonstrated stakeholder management capabilities- including requirements gathering, business analysis and planning. Must have the capacity to translate discussions into user requirements and project plans. Willingness to conduct periodic travel ( Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center (ra-employeehealthsup@its.jnj.com) or contact AskGS to be directed to your accommodation resource. #JRDDS #JNJDataScience #JNJIMRND-DS Required Skills: Preferred Skills: Advanced Analytics, Budget Management, Compliance Management, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Developing Others, Digital Fluency, Inclusive Leadership, Leadership, Program Management, Strategic Thinking, Succession Planning The anticipated base pay range for this position is : $164,000.00 - $282,900.00 Additional Description for Pay Transparency: Subject to the terms of their respective plans, employees are eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Company's long-term incentive program. Subject to the terms of their respective policies and date of hire, employees are eligible for the following time off benefits: Vacation- 120 hours per calendar year Sick time- 40 hours per calendar year; for employees who reside in the State of Colorado- 48 hours per calendar year; for employees who reside in the State of Washington- 56 hours per calendar year Holiday pay, including Floating Holidays- 13 days per calendar year Work, Personal and Family Time - up to 40 hours per calendar year Parental Leave- 480 hours within one year of the birth/adoption/foster care of a child Bereavement Leave- 240 hours for an immediate family member: 40 hours for an extended family member per calendar year Caregiver Leave- 80 hours in a 52-week rolling period10 days Volunteer Leave- 32 hours per calendar year Military Spouse Time-Off- 80 hours per calendar year For additional general information on Company benefits, please go to: - https://www.careers.jnj.com/employee-benefits

About Gen: At Gen, our mission is to create innovative and easy-to-use technology solutions that help people grow, manage, and secure their digital and financial lives. Dual-headquartered in Tempe, Arizona and Prague, Czech Republic, Gen powers Digital Freedom for nearly 500 million users in more than 150 countries through our trusted brands, including Norton, Avast, LifeLock, and MoneyLion. We serve Gen D - Generation Digital - by delivering award-winning products in cybersecurity, identity protection, online privacy, and financial wellness. We think big, innovate boldly, and operate with a shared commitment to create meaningful impact for our customers, communities, and each other. About the Role: As part of Gen's People & Culture (P&C) organization, this role operates in an agile, product-minded HR model, partnering across sprints, squads, and centers of excellence to deliver exceptional employee experiences and power data-driven, AI-enabled decision making. The People Data Architect is the technical and strategic owner of Gen's people data ecosystem. This role designs and maintains the data warehouse, pipelines, models, and analytics infrastructure that power accurate, trusted, and timely workforce insights across the organization. This leader brings together data engineering, business intelligence, and HR domain expertise to create scalable and governed analytics products. They manage the BI environment for people data, ensure consistent business logic, and deliver dashboards and self-service tools that enhance decision-making for People & Culture (HR, Workplace & Procurement) and business leaders. As Gen evolves toward a more digital, AI-enabled, and insight-driven operating model, this role is essential to advancing data quality, transparency, and the analytics capabilities of the P&C function. Core Responsibilities: Own and evolve the end-to-end people data architecture, including warehouse environments, ETL/ELT pipelines, data models, and governance. Maintain a single source of truth for workforce metrics with standardized definitions, consistent logic, and strong data quality controls. Lead the development, deployment, and maintenance of dashboards, reports, and analytics products that drive actionable insights for HR and business leaders. Enable governed, secure, and intuitive self-service BI capabilities across the P&C organization. Partner closely with People Operations, HRBPs, CoEs, IT, and Finance to ensure data alignment, integration, reconciliation, and system optimization. Monitor data quality, platform performance, and user experience; implement continuous improvements. Support foundational AI-readiness by structuring and documenting clean, high-quality people data assets. Role Specific Responsibilities: Design dimensional models and curated data sets to support reporting, predictive analytics, and workforce planning. Build scalable ETL/ELT pipelines using modern data engineering tools (e.g., dbt, Fivetran, Airflow). Administer the BI platform (e.g., Tableau, Power BI, Looker), including governance, permissions, semantic layers, and performance optimization. Develop advanced analytics solutions such as headcount forecasting, attrition modeling, compensation analysis, and talent flow insights. Transform raw data into business-ready assets, enabling reporting, storytelling and decision support for senior executives. Establish data governance practices, including metadata, lineage, definitions, and role-based access control. Serve as a technical advisor for emerging use cases in AI, automation, and predictive analytics within the HR ecosystem. Qualifications Required 5+ years of experience in data engineering, BI development, workforce analytics, or a related quantitative discipline. Hands-on experience designing and managing data warehouses, ETL/ELT pipelines, and dimensional data models. Proficiency with SQL and modern data stack tools (Snowflake, Redshift, or similar). Experience administering and developing in enterprise BI tools (Power BI, Tableau, or Looker). Strong understanding of HR data structures (Workday, ATS, performance, compensation, learning, etc.). Ability to translate business questions into data models, analytical approaches, and dashboards. Demonstrated strengths in data governance, quality, and documentation. Preferred Experience supporting People/HR functions in a global, multi-system environment. Familiarity with Python or R for advanced analytics or automation. Knowledge of machine learning concepts or predictive modeling related to workforce data. Experience enabling self-service analytics at scale. Exposure to AI tools or HR technology transformation initiatives. Background in storytelling, consulting, or executive-level insights delivery. A successful People Data Architect at Gen: Delivers clean, consistent, and reliable data that leaders can depend on. Thinks like both an engineer and an analyst, understanding the technical stack while crafting insights that answer real business questions. Enables business partners, product lines, CoEs, and executives to be more data-driven, strategic, and proactive. Creates dashboards and frameworks that simplify workforce insights. Champions governance and security, ensuring people data is handled responsibly, ethically, and in compliance with global regulations. Embraces AI and innovation by proactively exploring ways to enhance automation, prediction, and digital employee experiences. Location: New York City or Tempe Arizona Office (Onsite 3 days per week) The annual base salary for this position is expected to be between $170,000 to $200,000 depending on years of experience and location. Base salary is one component of Gen's total compensation package, which includes 401(k) match, health insurance options, disability coverage, life insurance, and unlimited paid time off. Actual salaries will vary based on a candidate's qualifications, experience, skills, and competencies related to the role. Gen is proud to be an equal-opportunity employer, committed to diversity and inclusivity. We base employment decisions on merit, experience, and business needs, without considering race, color, national origin, age, religion, sex, pregnancy, genetic information, disability, medical condition, marital status, sexual orientation, gender identity or expression, military or veteran status, or other unlawful factors. Gen prohibits discrimination based on these protected characteristics and recruits talented candidates from diverse backgrounds. We consider individuals with arrest and conviction records and do not discriminate against employees for discussing their own pay or that of other employees or applicants. Learn more about pay transparency. To conform to U.S. export control regulations, applicant should be eligible for any required authorizations from the U.S. Government.

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: People Leader All Job Posting Locations: Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: About Innovative Medicine Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine We are searching for the best talent for Director, R&D Data Science, Data Products- Global Regulatory Affairs . Purpose: The Director, Data Products- Global Regulatory Affairs is responsible for leading the strategy, design, and delivery of user-centric, reusable data products that enable advanced analytics, data science, and AI/ML solutions across the Global Regulatory Affairs organization. This role ensures that high-value internal and external regulatory data assets - including submission data, health authority correspondence, product labelling, regulatory intelligence, and real-world data (RWD/RWE) - are standardized, productized, and integrated into J&J’s enterprise R&D data ecosystem. Working closely with Global Regulatory Affairs teams, Submission Management, Regulatory Operations, and Data Science stakeholders, this leader ensures that Global Regulatory Affairs data products are AI-ready, semantically consistent, and interoperable, enabling submission efficiency, enhanced compliance, and accelerated approvals . You will be responsible for: Data Product Strategy & Execution Lead a team to define and deliver data products addressing critical Global Regulatory Affairs use cases (e.g., submission planning, health authority commitment tracking, labelling management, regulatory intelligence analysis). Define and maintain a roadmap for Global Regulatory Affairs data products , spanning pre-submission activities through post-market surveillance. Develop data products through agile delivery and FAIR data principles, ensuring scalability, interoperability, and reuse across Janssen functions and with health authorities. Integrate internal and external Global Regulatory Affairs data sources , including health authority databases, regulatory intelligence feeds, and submission archives. Ontology & Semantic Modelling Contribute to the development and governance of a Global Regulatory Affairs Ontology to enable semantic consistency across submission, compliance, and intelligence domains. Align the Global Regulatory Affairs Ontology with enterprise metadata standards and external frameworks (e.g., ICH, IDMP, eCTD). Collaboration & Integration Partner with Knowledge Management, Data Product Architecture & Governance, and Master Data Management teams to ensure Global Regulatory Affairs data products integrate seamlessly into enterprise ontologies, knowledge graphs, and catalogues. Collaborate with Global Regulatory Affairs and Data Science & Digital Health stakeholders to co-create solutions that maximize the value of regulatory data assets. Interface with technology and compliance teams to ensure data products meet global submission standards, transparency requirements, and health authority regulations. Team & Operating Model Leadership Lead a cross-functional team of product owners, data engineers, and Global Regulatory Affairs domain experts . Establish governance models, agile delivery processes, and value-tracking metrics for Global Regulatory Affairs data products . Value Realization & Communication Define and track KPIs to measure the impact of data products on submission timelines, compliance risk reduction, and operational efficiency . Communicate product vision, roadmap, and value realization to Global Regulatory Affairs leadership , Data Science teams, and executive stakeholders. Champion data literacy and adoption within the Global Regulatory Affairs organization . Strategic Impact The Director, Data Products- Global Regulatory Affairs ensures Global Regulatory Affairs data is transformed into trusted, AI-ready products that accelerate submissions, enhance compliance, and provide critical regulatory insights . By embedding semantic rigor and aligning with enterprise data strategy, this role positions Global Regulatory Affairs data as a strategic asset that enables submission excellence, proactive compliance, and innovation across J&J R&D . Qualifications / Requirements: Education PhD or Master's in informatics, computer science, life sciences, or related discipline. Experience 8+ years of experience in pharma/biotech R&D with a focus on Global Regulatory Affairs, regulatory operations, regulatory technology, or data product management . Strong track record in data product development, integration, or semantic modelling in a regulated domain. Experience working with multi-modal regulatory data, including submission, labelling, intelligence, and compliance datasets. Skills & Expertise Deep knowledge of Global Regulatory Affairs processes, submission pathways (e.g., eCTD), and global health authority requirements . Deep knowledge of data products, database design, and data transformation/mapping. Familiarity with metadata management, ontologies, knowledge graphs, and industry standards (e.g., IDMP, xEVMPD, ICH, eCTD ). Strong leadership, collaboration, and communication skills, with the ability to translate technical strategy into business/science value. Demonstrated ability to influence stakeholders and drive adoption of new data capabilities across a complex organization. Other This position has a primary location of Spring House, PA but is also open to Titusville, NJ. This position requires up to 25% travel. Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers , internal employees contact AskGS to be directed to your accommodation resource. #LIHybrid #JNJDataScience #JNJIMRND-DS Required Skills: Data Product Management, Global Regulatory Submissions Preferred Skills: Advanced Analytics, Budget Management, Compliance Management, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Developing Others, Digital Fluency, Leadership, Ontology, Program Management, Semantic Modeling, Strategic Thinking, Succession Planning The anticipated base pay range for this position is : The anticipated base pay range for this position is $164,000 to $282,900 USD. Additional Description for Pay Transparency: Subject to the terms of their respective plans, employees and/or eligible dependents are eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Subject to the terms of their respective plans, employees are eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Company’s long-term incentive program. Subject to the terms of their respective policies and date of hire, Employees are eligible for the following time off benefits: Vacation –120 hours per calendar year Sick time- 40 hours per calendar year; for employees who reside in the State of Washington –56 hours per calendar year Holiday pay, including Floating Holidays –13 days per calendar year Work, Personal and Family Time - up to 40 hours per calendar year Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child Condolence Leave – 30 days for an immediate family member: 5 days for an extended family member Caregiver Leave – 10 days Volunteer Leave – 4 days Military Spouse Time-Off – 80 hours Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits

Back to jobs New Sr. Director of Data Analytics, Data Science & AI Beverly Hills, California, United States Apply WHY JOIN ALO? Mindful movement. It's at the core of why we do what we do at ALO-it's our calling. Because mindful movement in the studio leads to better living. It changes who yogis are off the mat, making their lives and their communities better. That's the real meaning of studio-to-street: taking the consciousness from practice on the mat and putting it into practice in life. OVERVIEW We are seeking a Senior Director to lead Data Analytics (Digital), Data Science, and Artificial Intelligence, as a unified strategic capability. This role sits at the intersection of business insight, advanced analytics, and applied AI. You will shape how data and intelligence drive decisions, experiences, and operational excellence across the company-especially in marketing and digital and customer engagement. This leader is both a strategist and a builder: setting vision, developing talent, and ensuring measurable impact, while staying close enough to the work to guide technical direction and architectural choices. RESPONSIBILITIES Set the vision and roadmap for Data Science, AI, and Digital Analytics, aligned to business priorities and growth strategy. Lead and scale high-performing teams across data science, applied AI/ML, experimentation, and digital analytics. Drive advanced analytics and AI use cases including personalization, forecasting, optimization, experimentation, generative AI, and decision intelligence. Own digital analytics strategy-ensuring accurate, trusted measurement across web, mobile, and emerging digital experiences, and translating signals into action. Bridge insight to execution by partnering closely with product, marketing, engineering, operations, and executive leadership. Evaluate and govern AI platforms and tooling, balancing build vs. buy decisions, cost, scalability, and long-term flexibility. Establish responsible AI and data practices, including model governance, experimentation standards, and measurement of business impact. Tell compelling data stories-turning complex analyses and models into clear narratives that drive confident decisions at the executive level. QUALIFICATIONS A seasoned leader with deep experience in data science and applied AI, and a strong grasp of modern analytics ecosystems. Comfortable operating at multiple altitudes-from board-level strategy to hands-on technical guidance. Experienced in product and digital analytics, experimentation frameworks, attribution, and customer behavior analysis. Fluent in ML concepts and architectures (predictive models, NLP, recommendation systems, generative AI) and how they create real business value. Adept at building teams, culture, and operating models that scale across functions and geographies. Pragmatic, impact-driven, and allergic to vanity metrics. 12+ years in analytics, data science, or AI, with significant leadership experience. Strong foundation in statistics, machine learning, and experimentation. Experience in retail, e-commerce, consumer products, or digital platforms. Experience with cloud data and AI platforms (AWS, GCP, Azure) and modern analytics stacks. Proven track record of driving measurable outcomes through data and AI initiatives. Exposure to generative AI at scale and AI-enabled product development. Prior ownership of company-wide analytics standards or AI governance. The base salary range for this position is $250,000-$320,000 per year which represents the current range for the base salary for this exempt position. Please note that actual salaries will vary based on factors including but not limited to location, experience, and performance. As such, on occasion and when applicable, there is the possibility that the final, agreed-upon base salary may be outside of the upper end of the range. Please also note the range listed is just one component of the company's total rewards package for exempt employees. Other rewards may include performance bonuses, long term incentives, a PTO policy, and many other progressive benefits. For CA residents, Job Applicant Privacy Policy HERE. Create a Job Alert Interested in building your career at ALO? Get future opportunities sent straight to your email. 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US, Nevada The SHOW comes alive at MGM Resorts International Have you ever wondered what it would be like to work in a place full of excitement, diversity, and entertainment? Are you enthusiastic about being a team player in one of the most fascinating industries in the world? At MGM Resorts, we seek individuals like YOU to create unique and show-stopping experiences for our guests. THE JOB: At MGM Resorts International, we're using data and AI to power personalized guest experiences at scale. We're hiring a Principal Data Scientist, Commercial Analytics to serve as a hands-on technical leader, building and deploying AI/ML models that drive personalization, customer analytics, and commercial performance across the enterprise. THE DAY-TO-DAY: Lead multiple large, complex data science initiatives with minimal supervision Design, develop, and deploy advanced AI/ML models supporting personalization and commercial analytics Perform hands-on data science work including data collection, mining, normalization, and feature engineering Develop predictive and statistical models, including hyper-parameter tuning and optimization Deploy, scale, and monitor machine learning models in production environments Partner closely with Engineering and Analytics teams to define data requirements and improve data pipelines Maintain and enhance CI/CD frameworks for data science and model orchestration Conduct A/B testing and test-and-learn experiments to optimize key business KPIs Evaluate model quality, monitor performance, and continuously improve outcomes Review peer code, write unit tests, and provide technical feedback on modeling and pipeline approaches Translate complex analytical insights into clear, audience-appropriate presentations for business and executive stakeholders Collaborate with Marketing, Product, Creative, Strategy, and Customer Engagement teams to drive measurable impact Support the interview process and technical evaluation of Data Scientist candidates THE IDEAL CANDIDATE: Bachelor's degree or higher required 8+ years of prior relevant experience Expert-level proficiency in Python, SQL, and modern ML frameworks (e.g., Spark, TensorFlow, Keras) Proven ability to deliver multiple complex projects simultaneously in cross-functional environments Strong problem-solving skills with a focus on root-cause analysis and practical solutions Excellent communication and collaboration skills, including presenting to non-technical audiences Experience building MVPs under tight timelines while maintaining high quality Background in hospitality, retail, or customer-centric industries preferred THE PERKS & BENEFITS: Prioritize your wellness, access programs crafted to nurture your mental and physical health. Enjoy unbeatable discounts on hotel stays, dining, retail, entertainment, and exclusive partner perks for travel, tech, and beyond! Savor delicious meals for free in our employee dining room. Park with ease-whether you're on or off shift, it's free! From healthcare to financial support and generous time-off options, we've got you covered. Elevate your career with development programs, connect through networking events, and make a difference with community volunteer opportunities. VIEW JOB DESCRIPTION: https://mgmresorts.marketpayjobs.com/ShowJob.aspx?EntityID=2&jobcode=11713 Are you ready to JOIN THE SHOW? Apply today!

US, Nevada The SHOW comes alive at MGM Resorts International Have you ever wondered what it would be like to work in a place full of excitement, diversity, and entertainment? Are you enthusiastic about being a team player in one of the most fascinating industries in the world? At MGM Resorts, we seek individuals like YOU to create unique and show-stopping experiences for our guests. THE JOB: At MGM Resorts International, we're using data and AI to power personalized guest experiences at scale. We're hiring a Principal Data Scientist, Commercial Analytics to serve as a hands-on technical leader, building and deploying AI/ML models that drive personalization, customer analytics, and commercial performance across the enterprise. THE DAY-TO-DAY: Lead multiple large, complex data science initiatives with minimal supervision Design, develop, and deploy advanced AI/ML models supporting personalization and commercial analytics Perform hands-on data science work including data collection, mining, normalization, and feature engineering Develop predictive and statistical models, including hyper-parameter tuning and optimization Deploy, scale, and monitor machine learning models in production environments Partner closely with Engineering and Analytics teams to define data requirements and improve data pipelines Maintain and enhance CI/CD frameworks for data science and model orchestration Conduct A/B testing and test-and-learn experiments to optimize key business KPIs Evaluate model quality, monitor performance, and continuously improve outcomes Review peer code, write unit tests, and provide technical feedback on modeling and pipeline approaches Translate complex analytical insights into clear, audience-appropriate presentations for business and executive stakeholders Collaborate with Marketing, Product, Creative, Strategy, and Customer Engagement teams to drive measurable impact Support the interview process and technical evaluation of Data Scientist candidates THE IDEAL CANDIDATE: Bachelor's degree or higher required 8+ years of prior relevant experience Expert-level proficiency in Python, SQL, and modern ML frameworks (e.g., Spark, TensorFlow, Keras) Proven ability to deliver multiple complex projects simultaneously in cross-functional environments Strong problem-solving skills with a focus on root-cause analysis and practical solutions Excellent communication and collaboration skills, including presenting to non-technical audiences Experience building MVPs under tight timelines while maintaining high quality Background in hospitality, retail, or customer-centric industries preferred THE PERKS & BENEFITS: Prioritize your wellness, access programs crafted to nurture your mental and physical health. Enjoy unbeatable discounts on hotel stays, dining, retail, entertainment, and exclusive partner perks for travel, tech, and beyond! Savor delicious meals for free in our employee dining room. Park with ease-whether you're on or off shift, it's free! From healthcare to financial support and generous time-off options, we've got you covered. Elevate your career with development programs, connect through networking events, and make a difference with community volunteer opportunities. VIEW JOB DESCRIPTION: https://mgmresorts.marketpayjobs.com/ShowJob.aspx?EntityID=2&jobcode=11713 Are you ready to JOIN THE SHOW? Apply today!

US, Nevada The SHOW comes alive at MGM Resorts International Have you ever wondered what it would be like to work in a place full of excitement, diversity, and entertainment? Are you enthusiastic about being a team player in one of the most fascinating industries in the world? At MGM Resorts, we seek individuals like YOU to create unique and show-stopping experiences for our guests. THE JOB: At MGM Resorts International, we're using data and AI to power personalized guest experiences at scale. We're hiring a Principal Data Scientist, Commercial Analytics to serve as a hands-on technical leader, building and deploying AI/ML models that drive personalization, customer analytics, and commercial performance across the enterprise. THE DAY-TO-DAY: Lead multiple large, complex data science initiatives with minimal supervision Design, develop, and deploy advanced AI/ML models supporting personalization and commercial analytics Perform hands-on data science work including data collection, mining, normalization, and feature engineering Develop predictive and statistical models, including hyper-parameter tuning and optimization Deploy, scale, and monitor machine learning models in production environments Partner closely with Engineering and Analytics teams to define data requirements and improve data pipelines Maintain and enhance CI/CD frameworks for data science and model orchestration Conduct A/B testing and test-and-learn experiments to optimize key business KPIs Evaluate model quality, monitor performance, and continuously improve outcomes Review peer code, write unit tests, and provide technical feedback on modeling and pipeline approaches Translate complex analytical insights into clear, audience-appropriate presentations for business and executive stakeholders Collaborate with Marketing, Product, Creative, Strategy, and Customer Engagement teams to drive measurable impact Support the interview process and technical evaluation of Data Scientist candidates THE IDEAL CANDIDATE: Bachelor's degree or higher required 8+ years of prior relevant experience Expert-level proficiency in Python, SQL, and modern ML frameworks (e.g., Spark, TensorFlow, Keras) Proven ability to deliver multiple complex projects simultaneously in cross-functional environments Strong problem-solving skills with a focus on root-cause analysis and practical solutions Excellent communication and collaboration skills, including presenting to non-technical audiences Experience building MVPs under tight timelines while maintaining high quality Background in hospitality, retail, or customer-centric industries preferred THE PERKS & BENEFITS: Prioritize your wellness, access programs crafted to nurture your mental and physical health. Enjoy unbeatable discounts on hotel stays, dining, retail, entertainment, and exclusive partner perks for travel, tech, and beyond! Savor delicious meals for free in our employee dining room. Park with ease-whether you're on or off shift, it's free! From healthcare to financial support and generous time-off options, we've got you covered. Elevate your career with development programs, connect through networking events, and make a difference with community volunteer opportunities. VIEW JOB DESCRIPTION: https://mgmresorts.marketpayjobs.com/ShowJob.aspx?EntityID=2&jobcode=11713 Are you ready to JOIN THE SHOW? Apply today!

Description Hi, We’re AppFolio We’re innovators, changemakers, and collaborators. We’re more than just a software company – we’re pioneers in cloud and AI who deliver magical experiences that make our customers’ lives easier. We’re revolutionizing how people do business in the real estate industry, and we want your ideas, enthusiasm, and passion to help us keep innovating. As a Data Science Engineer on our Business Data Platform (BDP) team, you will own the operational backbone of our data infrastructure. You will play a critical role in ensuring resilient, secure, and scalable systems that power analytics, AI, experimentation, and business decision-making across the company. This role bridges platform engineering, data governance, and DevOps—enabling seamless data delivery and access with leading-class observability and compliance. Your Impact Own the design, build, and maintenance of AppFolio’s Business Data Platform’s observability and testing solutions that identify reliability, scalability, or data quality issues and strive to continuously improve the platform. Build, monitor, and maintain CI/CD pipelines and orchestration tools to ensure timely and accurate data delivery. Manage service accounts, roles, and permissions across Snowflake, dbt, and BI tools. Own the creation of and performance of Data Pipeline SLOs. Create and enforce data access controls, masking policies, and encryption standards (at rest and in transit). Partner with InfoSec and Compliance to ensure auditability and privacy frameworks are implemented and upheld across the Business Data Platform. Maintain lineage and metadata documentation across key data domains. Implement and manage infrastructure-as-code for data platform components. Drive automation of routine operations (e.g., environment provisioning, credential rotation, usage monitoring). Partner with data engineers, data science engineers, data scientists, and analysts to improve platform usability and self-service capabilities. Document and evangelize best practices for data access, job orchestration, and environment management. Must Have 6+ years in DataOps, Data Platform Engineering, DevOps, or related roles within modern cloud data environments. Proficiency in data engineering tools and technologies - SQL, Python, Airflow, Mulesoft, Linux scripting, and dbt Strong Experience with cloud technology, especially AWS tech stack (s3, ec2, eks), Docker and Kubernetes Experience with cloud data warehouse technology, such as Snowflake, including data security and governance Advanced proficiency with Airflow Strong knowledge of CI/CD pipelines, GitOps workflows, codespaces, and infrastructure-as-code (Terraform etc.). Experience with building self-serve processes Familiarity with security standards and practices for data (IAM, encryption, audit logging). Familiar with Snowflake RBAC Location This role is a fully remote opportunity ; however, you can find out more about our locations by visiting our website . Compensation & Benefits The compensation that we reasonably expect to pay for this role is $167,200 - $209,000 base pay. The actual compensation for this role will be determined by a variety of factors, including but not limited to the candidate’s skills, education, experience, and internal equity. Please note that compensation is just one aspect of a comprehensive Total Rewards package. The compensation range listed here does not include additional benefits or any discretionary bonuses you may be eligible for based on your role and/or employment type. Regular full-time employees are eligible for benefits - see here . #LI-KB1 About AppFolio AppFolio is the technology leader powering the future of the real estate industry. Our innovative platform and trusted partnership enable our customers to connect communities, increase operational efficiency, and grow their business. For more information about AppFolio, visit appfolio.com. Why AppFolio Grow | We enable a culture of high performance, where delivering results is recognized by opportunities for growth and compelling total rewards. Our challenging and meaningful work drive the growth of our business, and ourselves. Learn | We partner with you to realize your potential by investing in you from the start. We're cultivating a team of big thinkers through coaching and mentorship with our best-in-class leaders, and giving you the time and tools to develop your skills. Impact | We are creating a world where living in, investing in, managing, and supporting communities feels magical and effortless, freeing people to thrive. We do this by innovating with purpose while cultivating a culture of impact. We learn as much from each other as we do our customers and our communities. Connect | We excel at hybrid work by fostering an environment that feels flexible, personal and connected, no matter where we are. We create space to fuel innovation and collaboration, and we come together to celebrate, connect, and succeed. Paddle as One. Learn more at appfolio.com/company/careers Statement of Equal Opportunity At AppFolio, we value diversity in backgrounds and perspectives and depend on it to drive our innovative culture. That’s why we’re a proud Equal Opportunity Employer, and we believe that our products, our teams, and our business are stronger because of it. This means that no matter what race, color, religion, sex, sexual orientation, gender identification, national origin, age, marital status, ancestry, physical or mental disability, or veteran status, you’re always welcome at AppFolio.

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: People Leader All Job Posting Locations: Titusville, New Jersey, United States of America Job Description: Johnson and Johnson Innovative Medicine (J&J IM), a pharmaceutical company of Johnson & Johnson is recruiting for a Director, R&D Data Science, Data Products – Global Development. This position has a primary location of Titusville, NJ but is also open to Spring House, PA or Cambridge, MA. This position requires up to 25% travel. About Innovative Medicine Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine Position Summary The Director, Data Products – Global Development is responsible for leading the strategy, design, and delivery of user-centric, reusable data products that enable advanced analytics, data science, and AI/ML solutions across the Global Development organization. This role ensures that high-value internal and external development data assets—including protocol, study design, operational, regulatory, disclosure, and real-world data (RWD/RWE)—are standardized, productized, and integrated into Janssen’s enterprise R&D data ecosystem. Working closely with Global Development Data Science teams, Clinical Development, Operations, and Regulatory stakeholders, as well as the broader Data Strategy & Products organization, this leader ensures that Global Development data products are AI-ready, semantically consistent, and interoperable, enabling trial efficiency, regulatory readiness, and improved compliance outcomes. Key Responsibilities : Data Product Strategy & Execution Lead a team to define and deliver data products addressing critical Global Development use cases (e.g., study startup, TMF metadata, operational KPIs, submission readiness). Define and maintain a roadmap for Global Development data products, spanning protocol development through clinical trial disclosure. Develop data products through agile delivery and FAIR data principles, ensuring scalability, interoperability, and reuse across Janssen functions and external partners. Integrate internal and external Global Development data sources, including CRO-provided datasets, performance benchmarks, and regulatory datasets. Ontology & Semantic Modeling Contribute to the development and governance of a Global Development Ontology to enable semantic consistency across operational and regulatory domains. Align Global Development Ontology with enterprise metadata standards and external frameworks (e.g., CDISC, HL7 FHIR, etc ). Collaboration & Integration Partner with Knowledge Management, Data Product Architecture & Governance , and Master Data Management teams to ensure Global Development data products integrate seamlessly into enterprise ontologies, knowledge graphs, and catalogs. Collaborate with Global Development stakeholders—including Clinical, Regulatory, Medical Writing, QA, and Safety—to co-create solutions that maximize the value of development data assets. Interface with regulatory and compliance teams to ensure data products meet submission, disclosure, and transparency requirements. Team & Operating Model Leadership Lead a cross-functional team of product owners, data engineers, and Global Development domain experts. Establish governance models, agile delivery processes, and value-tracking metrics for Global Development data products. Value Realization & Communication Define and track KPIs to measure the impact of data products on study startup times, operational insights, and regulatory compliance. Communicate product vision, roadmap, and value realization to Global Development leadership, Data Science teams, and executive stakeholders. Champion data literacy and adoption within the Global Development organization. Strategic Impact The Director, Data Products – Global Development ensures Global Development data is transformed into trusted, AI-ready products that accelerate study startup, improve operational insights, and strengthen regulatory readiness. By embedding semantic rigor and aligning with enterprise data strategy, this role positions Global Development data as a strategic asset that enables trial efficiency, compliance, and innovation across Janssen R&D. Qualifications Education PhD or Master’s in informatics , computer science, life sciences, or related discipline. 8+ years of experience in pharma/biotech R&D with focus on clinical development, operations, regulatory, or data product management. Strong track record in data product development, integration, or semantic modeling in a regulated domain. Experience working with multi-modal development data, including clinical trial, protocol, operational, submission, and disclosure datasets. Skills & Expertise Deep knowledge of Global Development processes, clinical trial design, and regulatory requirements. Deep knowledge of data products, database design, data transformation/mapping. Familiarity with metadata management, ontologies, knowledge graphs, and industry standards (e.g., CDISC, FHIR, ICH). Strong leadership, collaboration, and communication skills, with ability to translate technical strategy into business/science value. Demonstrated ability to influence stakeholders and drive adoption of new data capabilities across a complex organization. Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers , internal employees contact AskGS to be directed to your accommodation resource. #LI-Hybrid #JRDDS #JNJDataScience #JNJIMRND-DS Required Skills: Preferred Skills: The anticipated base pay range for this position is : The anticipated base pay range for this position is $161,000 to $276,000 USD Additional Description for Pay Transparency: Subject to the terms of their respective plans, employees and/or eligible dependents are eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Subject to the terms of their respective plans, employees are eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Company’s long-term incentive program. Subject to the terms of their respective policies and date of hire, Employees are eligible for the following time off benefits: Vacation –120 hours per calendar year Sick time - 40 hours per calendar year; for employees who reside in the State of Washington –56 hours per calendar year Holiday pay, including Floating Holidays –13 days per calendar year Work, Personal and Family Time - up to 40 hours per calendar year Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child Condolence Leave – 30 days for an immediate family member: 5 days for an extended family member Caregiver Leave – 10 days Volunteer Leave – 4 days Military Spouse Time-Off – 80 hours Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits

ABOUT TRUVIAN Want to work for a fast-paced and disruptive company that is working to revolutionize blood testing? Truvian is a healthcare company at the intersection of diagnostics and consumer tech. We are developing an automated, benchtop diagnostic system to provide lab-accurate results in 30 minutes for a comprehensive suite of health tests. Our proprietary approach, for which we are seeking FDA clearance, is intended to fulfill the promise of delivering accessible and affordable blood testing from one small blood sample, in minutes, in a retail setting or private clinic. To us, our work at Truvian is more than a job – It’s a mission. We are a culture dedicated to discovery and empowerment. We are trailblazers on the path to put health information where it belongs - in the hands of the individual. We are partners in the belief that talented people, working as a team, can make every day an adventure. Come join us as we realize our vision to make routine health testing convenient, affordable, and actionable for today’s connected consumers! JOB SUMMARY Truvian is seeking a strategic and technically adept Director, Clinical Data Management & Data Science build and lead a multidisciplinary team responsible for clinical data strategy, management, analytics, and statistical sciences. This role is pivotal in ensuring data integrity, regulatory compliance, and operational efficiency across the product lifecycle—from early research through regulatory submission and post-market surveillance. This position is ONSITE. The Director will architect and scale Truvian’s clinical data ecosystem — spanning database design, data pipeline integration, clinical data quality, statistical analysis, and data visualization — to support assay validation, regulatory submissions, and real-world evidence generation. The ideal candidate combines strategic leadership with hands-on technical expertise in biostatistics, clinical data systems, and data science for diagnostics. This role requires in-depth expertise in the IVD industry, including knowledge of FDA regulations (21 CFR Part 11, Part 820), and a proven ability to lead data initiatives in a regulated environment. HERE’S WHY YOU WILL LOVE THIS ROLE Unique Growth Opportunity: Gain hands-on experience across clinical studies, data analysis, regulatory submissions, and product development. Data-Driven Innovation: Work alongside experienced leaders, contributing to real-world healthcare solutions backed by rigorous data. Fast-Paced Start-Up Culture: Be part of an agile, mission-driven team where your work has immediate impact. Professional Development: Receive mentorship and opportunities to expand your technical and industry knowledge. Meaningful Impact: Help bring innovative diagnostic products to market that can improve patient outcomes. You love and thrive in a fast-paced and dynamic environment where you can implement fresh ideas, new processes, and make things happen quickly without a bunch of red tape You’ll have great perks such as: Generous Benefits (Medical/Dental/Vision/EAP/Paid Life Insurance/LTD/401K), Flexible vacation Kombucha and cold brew on tap, craft coffee, and a variety of healthy snacks WHAT YOU WILL DO Strategic Leadership Develop and execute a unified, robust, and scalable data strategy to support clinical trials, R&D studies, and regulatory submissions. Build and mentor a high-performing team of data managers, database programmers, biostatisticians, and data scientists. Serve as a senior advisor to Clinical, R&D, and Regulatory leaders on data architecture, analytics, and evidence strategies. Ensure alignment of data architecture with business goals and regulatory requirements. Data Infrastructure and Systems Development Lead the design, integration, and governance of clinical databases and data pipelines from the ground up. Oversee implementation and validation of EDC systems, LIMS, and data warehouse tools to harmonize internal and CRO data sources. Guide the creation of user-friendly tools for data input, extraction, and analysis across teams. Ensure compliance with 21 CFR Part 11, GCP, HIPAA, and other applicable data regulations. Hire, mentor, and manage a team of data professionals to support clinical and R&D initiatives. Clinical Data Management Establish SOPs, standards, and templates for data collection, cleaning, reconciliation, and database lock. Direct data management activities for clinical studies, ensuring data quality, completeness, and traceability. Collaborate with CRO partners and central labs to ensure consistent data flow and integrity. Biostatistics & Data Science Provide strategic direction for statistical design, analysis, and interpretation of clinical and analytical validation studies. Oversee development of statistical analysis plans (SAPs) and ensure robustness of models and results. Guide exploratory and confirmatory data analyses, leveraging both traditional biostatistics and modern data science/ML techniques. Drive the development of data visualization dashboards and analytic tools to support real-time decision-making. Cross-Functional Collaboration Partner with Clinical Operations, Regulatory Affairs, Quality, and Product Development teams to ensure alignment of data strategy with business goals. Support regulatory submissions (FDA, IVDR) through clear, validated, and reproducible data outputs. Translate complex data analyses into compelling, clear narratives for scientific and regulatory audiences. WHAT YOU WILL BRING Required: Master’s or PhD in Biostatistics, Data Science, Biomedical Informatics, or related quantitative field. Minimum of 10 years of experience in clinical data management, biostatistics, or data science roles within diagnostics, medical devices, or pharmaceuticals Minimum of 5 years of management and leadership experience Proven experience building and leading data teams (data management, biostatistics, and informatics) from the ground up in a regulated environment. Demonstrated ability to design and integrate clinical databases and data pipelines across multiple systems and vendors. Strong command of SQL and relational databases (e.g., PostgreSQL, MS SQL Server). Deep understanding of FDA regulations, including 21 CFR Part 11, Part 820, GCP, ICH E6, and regulatory requirements for IVD data. Familiarity with EDC systems (Medidata, REDCap, etc.), data visualization tools (Tableau, Spotfire, Power BI), and data standards (CDISC/SDTM, HL7/FHIR). An analytical mindset with strong attention to detail and the ability to draw meaningful insights from complex datasets. Proactive, self-motivated, and eager to take ownership of tasks and learning opportunities. Exceptional communication skills and ability to translate complex statistical concepts and data into clear, actionable insights for technical and non-technical audiences. Comfortable working in a fast-paced, start-up environment with shifting priorities. Preferred: Knowledge of cloud platforms (AWS, Azure) and data governance frameworks. Startup or small-company experience building infrastructure from scratch Prior experience supporting FDA submission data requirements for IVDs (e.g., 510(k), PMA, EUA). SALARY RANGE $196,000 - $216,000 This range encompasses the diverse set of factors considered in making compensation decisions, including, but not limited to, experience, skills, knowledge, abilities, education, licensure, certifications, and other business and organizational needs. Salary offers are determined based on final candidate qualifications and experience. Placement within the compensation range is determined by internal equity and relevant qualifications. HOW TO STAND OUT Interested candidates are encouraged to submit a cover letter along with their resume. The cover letter is an excellent opportunity to share how your experience aligns with our mission, your approach to collaboration, and how your statistical expertise can support innovation in IVD assay development. Equal Opportunity Statement Truvian provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Powered by JazzHR

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: People Leader All Job Posting Locations: Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: About Innovative Medicine Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine We are searching for the best talent for Director, R&D Data Science, Data Products- Global Regulatory Affairs. Purpose: The Director, Data Products- Global Regulatory Affairs is responsible for leading the strategy, design, and delivery of user-centric, reusable data products that enable advanced analytics, data science, and AI/ML solutions across the Global Regulatory Affairs organization. This role ensures that high-value internal and external regulatory data assets - including submission data, health authority correspondence, product labelling, regulatory intelligence, and real-world data (RWD/RWE) - are standardized, productized, and integrated into J&J's enterprise R&D data ecosystem. Working closely with Global Regulatory Affairs teams, Submission Management, Regulatory Operations, and Data Science stakeholders, this leader ensures that Global Regulatory Affairs data products are AI-ready, semantically consistent, and interoperable, enabling submission efficiency, enhanced compliance, and accelerated approvals. You will be responsible for: Data Product Strategy & Execution Lead a team to define and deliver data products addressing critical Global Regulatory Affairs use cases (e.g., submission planning, health authority commitment tracking, labelling management, regulatory intelligence analysis). Define and maintain a roadmap for Global Regulatory Affairs data products, spanning pre-submission activities through post-market surveillance. Develop data products through agile delivery and FAIR data principles, ensuring scalability, interoperability, and reuse across Janssen functions and with health authorities. Integrate internal and external Global Regulatory Affairs data sources, including health authority databases, regulatory intelligence feeds, and submission archives. Ontology & Semantic Modelling Contribute to the development and governance of a Global Regulatory Affairs Ontology to enable semantic consistency across submission, compliance, and intelligence domains. Align the Global Regulatory Affairs Ontology with enterprise metadata standards and external frameworks (e.g., ICH, IDMP, eCTD). Collaboration & Integration Partner with Knowledge Management, Data Product Architecture & Governance, and Master Data Management teams to ensure Global Regulatory Affairs data products integrate seamlessly into enterprise ontologies, knowledge graphs, and catalogues. Collaborate with Global Regulatory Affairs and Data Science & Digital Health stakeholders to co-create solutions that maximize the value of regulatory data assets. Interface with technology and compliance teams to ensure data products meet global submission standards, transparency requirements, and health authority regulations. Team & Operating Model Leadership Lead a cross-functional team of product owners, data engineers, and Global Regulatory Affairs domain experts. Establish governance models, agile delivery processes, and value-tracking metrics for Global Regulatory Affairs data products. Value Realization & Communication Define and track KPIs to measure the impact of data products on submission timelines, compliance risk reduction, and operational efficiency. Communicate product vision, roadmap, and value realization to Global Regulatory Affairs leadership, Data Science teams, and executive stakeholders. Champion data literacy and adoption within the Global Regulatory Affairs organization. Strategic Impact The Director, Data Products- Global Regulatory Affairs ensures Global Regulatory Affairs data is transformed into trusted, AI-ready products that accelerate submissions, enhance compliance, and provide critical regulatory insights. By embedding semantic rigor and aligning with enterprise data strategy, this role positions Global Regulatory Affairs data as a strategic asset that enables submission excellence, proactive compliance, and innovation across J&J R&D. Qualifications / Requirements: Education PhD or Master's in informatics, computer science, life sciences, or related discipline. Experience 8+ years of experience in pharma/biotech R&D with a focus on Global Regulatory Affairs, regulatory operations, regulatory technology, or data product management. Strong track record in data product development, integration, or semantic modelling in a regulated domain. Experience working with multi-modal regulatory data, including submission, labelling, intelligence, and compliance datasets. Skills & Expertise Deep knowledge of Global Regulatory Affairs processes, submission pathways (e.g., eCTD), and global health authority requirements. Deep knowledge of data products, database design, and data transformation/mapping. Familiarity with metadata management, ontologies, knowledge graphs, and industry standards (e.g., IDMP, xEVMPD, ICH, eCTD). Strong leadership, collaboration, and communication skills, with the ability to translate technical strategy into business/science value. Demonstrated ability to influence stakeholders and drive adoption of new data capabilities across a complex organization. Other This position has a primary location of Spring House, PA but is also open to Titusville, NJ. This position requires up to 25% travel. Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers , internal employees contact AskGS to be directed to your accommodation resource. #LIHybrid #JNJDataScience #JNJIMRND-DS Required Skills: Data Product Management, Global Regulatory Submissions Preferred Skills: Advanced Analytics, Budget Management, Compliance Management, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Developing Others, Digital Fluency, Leadership, Ontology, Program Management, Semantic Modeling, Strategic Thinking, Succession Planning The anticipated base pay range for this position is : The anticipated base pay range for this position is $164,000 to $282,900 USD. Additional Description for Pay Transparency: Subject to the terms of their respective plans, employees and/or eligible dependents are eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Subject to the terms of their respective plans, employees are eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Company's long-term incentive program. Subject to the terms of their respective policies and date of hire, Employees are eligible for the following time off benefits: Vacation- 120 hours per calendar year Sick time- 40 hours per calendar year; for employees who reside in the State of Washington- 56 hours per calendar year Holiday pay, including Floating Holidays- 13 days per calendar year Work, Personal and Family Time - up to 40 hours per calendar year Parental Leave- 480 hours within one year of the birth/adoption/foster care of a child Condolence Leave- 30 days for an immediate family member: 5 days for an extended family member Caregiver Leave- 10 days Volunteer Leave- 4 days Military Spouse Time-Off- 80 hours Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits

WHO WE ARE Consumer Reports is an independent, nonprofit organization dedicated to a fair and just marketplace for all. CR is known for our rigorous testing and trusted ratings on thousands of products and services. We report extensively on consumer trends and challenges, and survey millions of people in the U.S. each year. We leverage our evidence-based approach to advocate for consumer rights, working with policymakers and companies to find solutions for safer products and fair practices. Our mission starts with you. We offer medical benefits that start on your first day as a CR employee that include behavioral health coverage, family planning and a generous 401K match. Learn more about how CR advocates on behalf of our employees. OVERVIEW Data powers everything we do at CR—and it’s the foundation for our AI and machine learning efforts that are transforming how we serve consumers. The Data Engineer ( AI/ML & Data Science) will play a critical role in building the data infrastructure that powers advanced AI applications, machine learning models, and analytics systems across CR. Reporting to the Associate Director, AI/M & Data Science, in this role, you will design and maintain robust data pipelines and services that support experimentation, model training, and AI application deployment. If you’re passionate about solving complex data challenges, working with cutting-edge AI technologies, and enabling impactful, data-driven products that support CR’s mission, this is the role for you. This is a hybrid position. This position is not eligible for sponsorship or relocation assistance. How You'll Make An Impact As a mission based organization, CR and our Software team are pursuing an AI strategy that will drive value for our customers, give our employees superpowers, and address AI harms in the digital marketplace. We’re looking for an AI/ML engineer to help us execute on our multi-year roadmap around generative AI. As a Data Engineer ( AI/M & Data Science) you will: Design, develop, and maintain ETL/ELT pipelines for structured and unstructured data to support AI/ML model and application development, evaluation, and monitoring. Build and optimize data processing workflows in Databricks , AWS SageMaker , or similar cloud platforms. Collaborate with AI/ML engineers to deliver clean, reliable datasets for model training and inference. Implement data quality, observability, and lineage tracking within the ML lifecycle. Develop Data APIs/microservices to power AI applications and reporting/analytics dashboards. Support the deployment of AI/ML applications by building and maintaining feature stores and data pipelines optimized for production workloads. Ensure adherence to CR’s data governance, security, and compliance standards across all AI and data workflows. Work with Product, Engineering and other stakeholders to define project requirements and deliverables. Integrate data from multiple internal and external systems, including APIs, third-party datasets, and cloud storage. ABOUT YOU You’ll Be Highly Rated If: You have the experience. You have 3+ years of experience designing and developing data pipelines, data models/schemas, APIs, or services for analytics or ML workloads. You have the education. You’ve earned a Bachelor’s degree in Computer Science, Engineering, or a related field. You have programming skills. You are skilled in Python , SQL , and have experience with Py Spark on large-scale datasets. You have experience with data orchestration tools such as Airflow, dbt and Prefect, plus CI/CD pipelines for data delivery. You have experience with Data and AI/ML platforms such as Databricks , AWS SageMaker or similar. You have experience working with Kubernetes on cloud platforms like - AWS , GCP , or Azure . You'll Be One of Our Top Picks If: You are passionate about automation and continuous improvement. You have excellent documentation and technical communication skills. You are an analytical thinker with troubleshooting abilities. You are self-driven and proactive in solving infrastructure bottlenecks. FAIR PAY AND A JUST WORKPLACE At Consumer Reports, we are committed to fair, transparent pay and we strive to provide competitive, market-informed compensation.The target salary range for this position is $100K-$120K. It is anticipated that most qualified candidates will fall near the middle of this range. Compensation for the successful candidate will be informed by the candidate’s particular combination of knowledge, skills, competencies, and experience. We have three locations: Yonkers, NY, Washington, DC and Colchester, CT. We are registered to do business in and can only hire from the following states and federal district: Arizona, California, Connecticut, Illinois, Maryland, Massachusetts, Michigan, New Hampshire, New Jersey, New York, Texas, Vermont, Virginia and Washington, DC. Salary ranges NY/California: $120K-$140K annually DMV/Massachusetts: $115K-$135K annually Colchester, CT and additional approved CR locations: $100K-$120K annually Consumer Reports is an equal opportunity employer and does not discriminate in employment on the basis of actual or perceived race, color, creed, religion, age, national origin, ancestry, citizenship status, sex or gender (including pregnancy, childbirth, related medical conditions or lactation), gender identity and expression (including transgender status), sexual orientation, marital status, military service or veteran status, protected medical condition as defined by applicable state or local law, disability, genetic information, or any other basis protected by applicable federal, state or local laws. Consumer Reports will provide you with any reasonable assistance or accommodation for any part of the application and hiring process.