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At MFS, you will find a culture that supports you in doing what you do best. Our employees work together to reach better outcomes, favoring the strongest idea over the strongest individual. We put people first and demonstrate care and compassion for our community and each other. Because what we do matters - to us as valued professionals and to the millions of people and institutions who rely on us to help them build more secure and prosperous futures. THE ROLE The Data Science Lead Analyst will play a key role on our data science team, leveraging their experience to deliver impactful data-driven solutions for complex business challenges. With a foundation in data analysis and model development, you will work alongside a team of data scientists and business strategists, contributing to the development of data-driven solutions for business challenges. Your work will be user case oriented: you will take on responsibility for the end-to-end process of extracting insights from large datasets. You are expected to work collaboratively with cross-functional teams, as well as independently manage projects, to drive strategic decision-making and innovation. You will constructively discuss your results and potential findings with members of the team and the other MFS Business Units. WHAT YOU WILL DO Design and implement advanced statistical models and machine learning algorithms to solve specific business problems. Interpret and analyze data from multiple sources to provide actionable insights and recommendations. Collaborate with business strategists to understand their needs and provide data-driven guidance. Take initiative in identifying opportunities for data analytics to add value to the business. Ensure data quality and integrity throughout all processes. Effectively communicate findings to stakeholders through visualization and presentations, translating complex data into clear business terms. Mentor Associate Data Scientists and contribute to their professional development. Stay up-to-date with the latest trends and technologies in data science and machine learning to bring fresh ideas to the team and to the organization. WHAT WE ARE LOOKING FOR Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Operations Research, Engineering, Physics, or another quantitative discipline with 5-6 yrs experience, or Master's degree with 4 years of experience. Demonstrated proficiency in Python, SQL, and data visualization tools (such as Tableau, Power BI, or similar). Strong experience in cleaning, transforming, and visualizing large data sets. Proven ability to develop, test, and deploy predictive models and machine learning algorithms. Advanced understanding of a wide array of machine learning and statistical techniques, with a track record of choosing the right model for the right problem. Familiarity with big data technologies (such as Hadoop, Spark, or similar) and cloud computing services (AWS, Azure, GCP) is desirable. Strong analytical and quantitative problem-solving ability. Experience in effectively communicating complex analytical findings and conclusions to non-technical stakeholders, including the creation of clear and actionable reports. Demonstrated ability to work independently on complex projects with minimal supervision as well as collaboratively with a team. A history of driving projects to completion and contributing to the success of those projects. Ability to mentor and support Associate Data Scientists in their technical development. Commitment to continuous learning and staying current with industry trends and best practices in data science. #LI-JN1 #LI-HYBRID At MFS, we are dedicated to building a diverse, inclusive and authentic workplace. If you are excited about this role but your past experience doesn't align perfectly, we encourage you to apply - you might be just the right candidate for this role or others. What we offer: Generous time-off provided: including "Responsible time off" for many roles, paid company holidays when the US Stock Exchange is closed, plus paid volunteer time Family Focus: Up to 20 weeks of paid leave for new parents, back-up care program, dependent care flexible spending account, adoption assistance, generous caregiver leave Health and Welfare: Competitive medical, vision and dental plans, plus tax-free health savings accounts with company contributions Wellness Programs: Robust wellness webinars, employee assistance program with a focus on mental health, subsidized fitness benefit via Wellhub (formerly Gympass), where you can workout at gyms, studios and boutique fitness locations near you, join virtual personal training sessions and access a wide variety of well-being apps Life & Disability Benefits: Company-paid basic life insurance and short-term disability Financial Benefits: 401(k) savings plan, Defined Contribution plan- 15% of base salary invested into the Plan, competitive total compensation programs MFS is a hybrid work environment (remote/onsite) unless otherwise stated in the job posting. If any applicant is unable to complete an application or respond to a job opening because of a disability, please contact MFS at 617-954-5000 or email talent_acquisition@mfs.com for assistance. MFS is an Equal Opportunity Employer and it is our policy to not discriminate against any employee or applicant for employment because of race, color, religion, sex, national origin, age, marital status, sexual orientation, gender identity, genetic information, disability, veteran status, or any other status protected by federal, state or local laws. Employees and applicants of MFS will not be subject to harassment on the basis of their status. Additionally, retaliation, including intimidation, threats, or coercion, because an employee or applicant has objected to discrimination, engaged or may engage in filing a complaint, assisted in a review, investigation, or hearing or have otherwise sought to obtain their legal rights under any Federal, State, or local EEO law is prohibited. Please see the Know Your Rights: Workplace Discrimination is Illegal document, linked for your reference.

Brandeis University's Rabb School of Continuing and Professional Studies is seeking a part-time Program Developer to lead the design and proposal development for a new Online Master of Science in Data Science. This graduate program will equip learners with advanced analytical, computational, and strategic skills to solve real-world problems across industries. The ideal candidate will bring expertise in data science, curriculum design, market analysis, and online program development. This role is central to building a rigorous, market-aligned program that reflects Brandeis University's academic standards and commitment to innovation in graduate education. Key Responsibilities: Market Research and Needs Assessment Conduct a comprehensive market analysis to assess demand for graduate-level data science education. Identify emerging roles in AI, machine learning, data engineering, and analytics across sectors such as healthcare, finance, government, and tech. Benchmark peer and competitor programs to identify gaps, differentiators, and opportunities for innovation. Translate findings into strategic recommendations for curriculum design and program positioning. Curriculum Design and Development Collaborate with faculty, instructional designers, and industry experts to develop a modular, outcomes-driven curriculum. Integrate core topics such as statistical modeling, machine learning, data visualization, cloud computing, and ethical AI. Ensure alignment with accreditation standards and incorporate experiential learning and capstone components. Map course objectives to workforce competencies and employer expectations. Program Proposal Development Lead the drafting and submission of a formal program proposal, including all documentation required for Brandeis University's internal review and approval. Develop a clear implementation roadmap, with milestones for curriculum development, faculty onboarding, and program launch. Coordinate with academic and administrative stakeholders to ensure alignment with institutional goals and quality standards. Include a modular academic structure in the proposal that comprises: One master's degree program designed to address high-demand workforce competencies Two master's certificates that draw from the degree curriculum and offer targeted, stackable credentials aligned with employer needs Three micro-credentials focused on discrete, skill-based outcomes that reflect both the scope of the degree and specific workforce priorities Budget Development Prepare a comprehensive budget that supports program development, including instructional design, technology integration, marketing, and faculty recruitment. Identify potential funding sources, industry partnerships, or grant opportunities to support long-term program sustainability. Advisory Council Formation Establish an advisory council of data science leaders, statisticians, and industry experts to guide program relevance and innovation. Leverage the council's insights to ensure the curriculum reflects current tools, methodologies, and employer expectations. Engage the council in shaping capstone experiences, mentorship opportunities, and external collaborations. Qualifications: Master's degree or higher in Statistics, Data Science, Computer Science, Applied Mathematics, or a related field. Experience in higher education program development, curriculum design, or instructional design-preferably in an online format. Deep understanding of data science industry trends, workforce demands, and applied analytics across sectors. Proven ability to conduct market research and translate findings into actionable program strategies. Strong communication, project management, and organizational skills. Experience managing budgets and working with advisory councils is a plus. Employment Details: This is a part-time term position with flexible hours. The anticipated duration of this appointment is approximately one to one and a half months, commencing on the start date and concluding with the submission of the program proposal. Subject to the program's development and institutional needs, continued engagement may be considered through a final potential end date of March 15, 2026. Compensation will be hourly-based, and aligned with the scope of work required to meet the program development benchmarks by the expected deadlines: Market Research and Needs Assessment Curriculum Design and Development Program Proposal Submission Budget Planning Advisory Council Formation Equal Opportunity Statement Brandeis University is an equal opportunity employer which does not discriminate against any applicant or employee on the basis of race, color, ancestry, religious creed, gender identity and expression, national or ethnic origin, sex, sexual orientation, pregnancy, age, genetic information, disability, caste, military or veteran status or any other category protected by law (also known as membership in a "protected class")

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: Scientific/Technology All Job Posting Locations: Cambridge, Massachusetts, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: Johnson & Johnson Innovative Medicine is recruiting for a Knowledge Graph Engineer, R&D Data Science & Digital Health- Data Strategy and Products. The primary location is Barcelona or Madrid, Spain but is also open to Titusville, NJ; Spring House, PA; or Cambridge, MA. Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Engineers 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 Job Responsibilities We are committed to using innovative technology to improve healthcare outcomes worldwide. As part of this mission, we are seeking a Knowledge Graph Engineer to join our Data Strategy and Products team to standardize and connect biomedical and clinical data. You will be a hands-on technical contributor with depth in semantic technologies, ontology, and graph data modeling, plus strong familiarity with the life sciences domain. You will connect enterprise master data with R&D data across the entire product lifecycle so trusted, interoperable knowledge powers analytics, search, and AI across Johnson and Johnson Innovative Medicine. Contribute to the design and implementation of a scalable knowledge graph infrastructure focused on data standardization and interoperability. Curate and extend ontologies for clear mapping into established biomedical ontologies and controlled terminologies using RDF standards. Apply graph-based data modeling for efficient organization, integration and retrieval to ensure system flexibility and long-term maintainability. Stand up SPARQL/GraphQL/REST services; develop ingestion and curation pipelines to ingest, normalize and map concepts across data sources. Extend and curate ontologies (e.g., diseases, drugs, targets, pathways, etc.) and maintain synonyms, cross-references, and provenance. Partner with cross-functional teams to enable NLP/RAG over graphs, features for predictive modeling and terminology services for search and study design tools. Work with IT and DevOps teams to deploy and manage the graph database infrastructure, focusing on high availability, scalability, and recovery operations. Create and be responsible for documentation, such as data dictionaries, data lineage, and data flow diagrams, to facilitate understanding of the knowledge graph. Job Qualifications Desired Ph.D. or master's degree in bioengineering, computer science, IT, bioinformatics, physics, mathematics, or related fields, emphasis on semantic technologies and biomedical application. At least 5 years professional experience in health informatics, or at least 7 years of professional experience or with additional consideration for candidates with graduate degrees or equivalent experience. Programming background in parser combinators, natural language processing, and linked data (RDF Triple Stores and property graphs). Demonstrated experience in large-scale knowledge graphs construction, ontology development, pharmaceutical or healthcare domains integration. Proficiency in semantic web technologies (SPARQL, RDF, OWL), familiarity with graph databases (Neo4j, Amazon Neptune). Proven work with complex biomedical datasets, including genomics, proteomics, and high-throughput screening data. Impressive records in a pharmaceutical, biotech, or related research environment are preferred. Proficiency in various data storage solutions (SQL, key-value, column, document, graph stores) and data modeling techniques (semantic data, ontologies, taxonomies). Experience in CI/CD implementations, git usage, CI/CD stacks (Jenkins, GitLab, Azure DevOps), DevOps tools, metrics/monitoring, and containerization technologies (Docker, Singularity). Strong skills in analysis, problem-solving, organizational change, project delivery, and managing external vendors. Demonstrated agile decision-making, performance management, continuous learning, and commitment to quality. Ability to multi-task, prioritize work, exhibit organizational skills and flexibility to deliver maximum business value. Capacity to translate discussions into user requirements and project plans. Willingness to travel less than 25% to conferences and internal meetings. #JRDDS #JNJDataScience The anticipated base pay range for this position is : 146.200 USD - 197.800 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

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: Scientific/Technology All Job Posting Locations: Cambridge, Massachusetts, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: Johnson & Johnson Innovative Medicine is recruiting for a Knowledge Graph Engineer, R&D Data Science & Digital Health- Data Strategy and Products. The primary location is Barcelona or Madrid, Spain but is also open to Titusville, NJ; Spring House, PA; or Cambridge, MA. Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Engineers 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 Job Responsibilities We are committed to using innovative technology to improve healthcare outcomes worldwide. As part of this mission, we are seeking a Knowledge Graph Engineer to join our Data Strategy and Products team to standardize and connect biomedical and clinical data. You will be a hands-on technical contributor with depth in semantic technologies, ontology, and graph data modeling, plus strong familiarity with the life sciences domain. You will connect enterprise master data with R&D data across the entire product lifecycle so trusted, interoperable knowledge powers analytics, search, and AI across Johnson and Johnson Innovative Medicine. Contribute to the design and implementation of a scalable knowledge graph infrastructure focused on data standardization and interoperability. Curate and extend ontologies for clear mapping into established biomedical ontologies and controlled terminologies using RDF standards. Apply graph-based data modeling for efficient organization, integration and retrieval to ensure system flexibility and long-term maintainability. Stand up SPARQL/GraphQL/REST services; develop ingestion and curation pipelines to ingest, normalize and map concepts across data sources. Extend and curate ontologies (e.g., diseases, drugs, targets, pathways, etc.) and maintain synonyms, cross-references, and provenance. Partner with cross-functional teams to enable NLP/RAG over graphs, features for predictive modeling and terminology services for search and study design tools. Work with IT and DevOps teams to deploy and manage the graph database infrastructure, focusing on high availability, scalability, and recovery operations. Create and be responsible for documentation, such as data dictionaries, data lineage, and data flow diagrams, to facilitate understanding of the knowledge graph. Job Qualifications Desired Ph.D. or master's degree in bioengineering, computer science, IT, bioinformatics, physics, mathematics, or related fields, emphasis on semantic technologies and biomedical application. At least 5 years professional experience in health informatics, or at least 7 years of professional experience or with additional consideration for candidates with graduate degrees or equivalent experience. Programming background in parser combinators, natural language processing, and linked data (RDF Triple Stores and property graphs). Demonstrated experience in large-scale knowledge graphs construction, ontology development, pharmaceutical or healthcare domains integration. Proficiency in semantic web technologies (SPARQL, RDF, OWL), familiarity with graph databases (Neo4j, Amazon Neptune). Proven work with complex biomedical datasets, including genomics, proteomics, and high-throughput screening data. Impressive records in a pharmaceutical, biotech, or related research environment are preferred. Proficiency in various data storage solutions (SQL, key-value, column, document, graph stores) and data modeling techniques (semantic data, ontologies, taxonomies). Experience in CI/CD implementations, git usage, CI/CD stacks (Jenkins, GitLab, Azure DevOps), DevOps tools, metrics/monitoring, and containerization technologies (Docker, Singularity). Strong skills in analysis, problem-solving, organizational change, project delivery, and managing external vendors. Demonstrated agile decision-making, performance management, continuous learning, and commitment to quality. Ability to multi-task, prioritize work, exhibit organizational skills and flexibility to deliver maximum business value. Capacity to translate discussions into user requirements and project plans. Willingness to travel less than 25% to conferences and internal meetings. #JRDDS #JNJDataScience The anticipated base pay range for this position is : 146.200 USD - 197.800 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

The Core Data Science team is at the center of data within Figma. With a charge to uplevel Figma's use of data, the team works alongside other Data Scientists and Engineering to identify ways to implement and democratize new statistical methods, build data frameworks, and incorporate data within Figma's product. In addition to enabling data practitioners, the team also supports the Infrastructure organization. The team contributes to the org's goals by collaborating closely with product managers, engineers, and our finance team to uncover inefficiencies in system and resource utilization; recommending architectural improvements through data-driven insights; and tying infrastructure investments directly to product performance and customer impact This is a full time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: Lead, support, and grow a team of data scientists with varied strengths and expertise focused on internal tooling, machine learning enablement, and support our Infrastructure organization Guide development of new and sophisticated applications of data Champion data quality, accessibility, and the democratization of data across the company Establish trust within and across teams by creating accountability and a positive work environment in partnership with other leaders in the organization Partner with Product, Engineering, Design, Research, Sales, Marketing, or Finance to drive impact We'd love to hear from you if you have: 3+ years of experience managing and leading high output data science teams 5+ years of experience working in of experience in Analytics, Data Science, or a related field Strong foundation in statistical methods, experimentation, and/or forecasting Technical curiosity - you should be ready to learn and grow alongside your team A desire to build an inclusive and diverse culture Experience scaling teams in high-growth environments While not required, it's an added plus if you also have: Experience with ML or Security Data Science At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you're excited about this role but your past experience doesn't align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

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: Scientific/Technology All Job Posting Locations: Cambridge, Massachusetts, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: Job Description Johnson & Johnson Innovative Medicine is recruiting for an Ontology Developer, R&D Data Science & Digital Health- Data Strategy and Platforms. The primary location is Barcelona or Madrid, Spain but is also flexible to Titusville, NJ; Spring House, PA; or Cambridge, MA. Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Engineers 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 Job Responsibilities Johnson and Johnson Innovative Medicine is recruiting for an Ontology Developer, Data Strategy and Products to design, build, and govern the semantic backbone that connects data across pharmaceutical life cycle. You'll translate business concepts into well-formed ontologies, controlled vocabularies, and semantic standards that power interoperability, search and discovery, analytics, and AI/ML. The role combines hands-on ontology engineering with product thinking, partnering closely with governance, knowledge management, and domain stakeholders. You are a leading technical contributor and creative problem solver with a strong background in semantic technologies, ontology, graph-based data modeling, and a deep understanding of the life sciences domain. Model, code, test, and release ontology modules and mappings that power knowledge graph, master/reference data, analytics, and AI/LLM applications. Translate domain knowledge from subject-matter experts into OWL/RDF classes and properties, SKOS vocabularies, and SHACL constraints, and publish validated, versioned packages and APIs for broad reuse. Develop and maintain ontologies representing domain-specific knowledge in healthcare and life sciences for drug discovery Own the ontology roadmap for key domains - define scope, use cases, and success metrics; align with internal canonical models and relevant W3C/domain standards. Model and govern the ontology using (OWL, RDFS, SKOS, SHACL); capture provenance and maintain SPARQL queries with validation. Define and enforce standards-modeling guidelines, naming/versioning, change control, releases/deprecations-and partner with enterprise governance/tooling teams to embed reusable patterns for product teams and consumers. Implement data quality checks (coverage, conformance, unit/ID normalization) and contribute to validation reports. Job Qualifications Desired Ph.D. or master's degree in bioengineering, computer science, IT, bioinformatics, physics, mathematics, or related fields, emphasis on semantic technologies and biomedical application. 3-5+ years of hands-on ontology/knowledge modeling, taxonomy design, and metadata standards. Proficiency with OWL, RDF(S), SKOS, SHACL, SPARQL, ontology design patterns and reasoning concepts. Demonstrated experience in large-scale knowledge graphs construction, ontology development, pharmaceutical or healthcare domains integration. Proficiency in semantic web technologies (SPARQL, RDF, OWL), familiarity with graph databases (Neo4j, Amazon Neptune, GraphDB). Experience in CI/CD implementations, git usage, CI/CD stacks (Jenkins, GitLab, Azure DevOps), DevOps tools, metrics/monitoring, and containerization technologies (Docker, Singularity). Strong skills in analysis, problem-solving, organizational change, project delivery, and managing external vendors. Proven record leading improvement initiatives with multi-disciplinary and remote partners. Excellent skills in customer focus, networking, communication, presentation Demonstrated agile decision-making, performance management, continuous learning, and commitment to quality. Ability to multi-task, prioritize work, exhibit organizational skills and flexibility to deliver maximum business value. Capacity to translate discussions into user requirements and project plans. Willingness to travel less than 25% to conferences and internal meetings. #JRDDS #JNJDataScience The anticipated base pay range for this position is : 146.200 USD - 197.800 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

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: Scientific/Technology All Job Posting Locations: Cambridge, Massachusetts, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: Job Description Johnson & Johnson Innovative Medicine is recruiting for an Ontology Developer, R&D Data Science & Digital Health- Data Strategy and Platforms. The primary location is Barcelona or Madrid, Spain but is also flexible to Titusville, NJ; Spring House, PA; or Cambridge, MA. Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Engineers 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 Job Responsibilities Johnson and Johnson Innovative Medicine is recruiting for an Ontology Developer, Data Strategy and Products to design, build, and govern the semantic backbone that connects data across pharmaceutical life cycle. You'll translate business concepts into well-formed ontologies, controlled vocabularies, and semantic standards that power interoperability, search and discovery, analytics, and AI/ML. The role combines hands-on ontology engineering with product thinking, partnering closely with governance, knowledge management, and domain stakeholders. You are a leading technical contributor and creative problem solver with a strong background in semantic technologies, ontology, graph-based data modeling, and a deep understanding of the life sciences domain. Model, code, test, and release ontology modules and mappings that power knowledge graph, master/reference data, analytics, and AI/LLM applications. Translate domain knowledge from subject-matter experts into OWL/RDF classes and properties, SKOS vocabularies, and SHACL constraints, and publish validated, versioned packages and APIs for broad reuse. Develop and maintain ontologies representing domain-specific knowledge in healthcare and life sciences for drug discovery Own the ontology roadmap for key domains - define scope, use cases, and success metrics; align with internal canonical models and relevant W3C/domain standards. Model and govern the ontology using (OWL, RDFS, SKOS, SHACL); capture provenance and maintain SPARQL queries with validation. Define and enforce standards-modeling guidelines, naming/versioning, change control, releases/deprecations-and partner with enterprise governance/tooling teams to embed reusable patterns for product teams and consumers. Implement data quality checks (coverage, conformance, unit/ID normalization) and contribute to validation reports. Job Qualifications Desired Ph.D. or master's degree in bioengineering, computer science, IT, bioinformatics, physics, mathematics, or related fields, emphasis on semantic technologies and biomedical application. 3-5+ years of hands-on ontology/knowledge modeling, taxonomy design, and metadata standards. Proficiency with OWL, RDF(S), SKOS, SHACL, SPARQL, ontology design patterns and reasoning concepts. Demonstrated experience in large-scale knowledge graphs construction, ontology development, pharmaceutical or healthcare domains integration. Proficiency in semantic web technologies (SPARQL, RDF, OWL), familiarity with graph databases (Neo4j, Amazon Neptune, GraphDB). Experience in CI/CD implementations, git usage, CI/CD stacks (Jenkins, GitLab, Azure DevOps), DevOps tools, metrics/monitoring, and containerization technologies (Docker, Singularity). Strong skills in analysis, problem-solving, organizational change, project delivery, and managing external vendors. Proven record leading improvement initiatives with multi-disciplinary and remote partners. Excellent skills in customer focus, networking, communication, presentation Demonstrated agile decision-making, performance management, continuous learning, and commitment to quality. Ability to multi-task, prioritize work, exhibit organizational skills and flexibility to deliver maximum business value. Capacity to translate discussions into user requirements and project plans. Willingness to travel less than 25% to conferences and internal meetings. #JRDDS #JNJDataScience The anticipated base pay range for this position is : 146.200 USD - 197.800 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

Job Description: The Los Angeles Unified School District seeks qualified proposers to provide Data Science Services on behalf of the Information Technology Services. Responsibilities: Set up R Studio Workbench, Connect, and Package Manager on a Linux server. Manage libraries and versions. Write required security plan. Work with security to connect the server to Snowflake and other data sources. Provision server access to data scientists, including R Studio Server, sftp, and command line. Provide training and support to data scientists, including training on visualization packages like ggplot2, Quatro, and Shiny. Guide data scientists on how to use version control with GIT/Azure Devops. Resource must have at least three (3) years of experience in providing services as listed

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

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- Neuroscience. This position has a primary location of Titusville, NJ but is also open to Spring House, PA or Cambridge, MA. The position will require 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- Neuroscience 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 Neuroscience Therapeutic Area (TA). This role ensures that high-value internal and external Neuroscience data assets-including preclinical, translational, clinical, competitive intelligence, and real-world data (RWD/RWE)-are standardized, productized, and integrated into Janssen's enterprise R&D data ecosystem. Working closely with Data Science teams, Neuroscience TA scientific leaders, and the broader Data Strategy & Products organization, this leader ensures that Neuroscience data products fill business requirements, such as being AI-ready, semantically consistent, and interoperable, enabling faster discovery, stronger evidence generation, and better regulatory outcomes. Key Responsibilities Data Product Strategy & Execution Lead a team to develop technical requirements for Neuroscience-facing data products Define and maintain a roadmap for Neuroscience data products, spanning discovery, translational research, clinical development, and real-world evidence. Develop data products through, agile delivery, and FAIR data principles to ensure products are scalable, interoperable, and reusable across Janssen and partner functions. Deliver integration of internal and external Neuroscience data sources (e.g., clinical trial data, genomics/omics, competitor intelligence, registry and RWE datasets). Ontology & Semantic Modeling Contribute to the development and governance of a Neuroscience Ontology to enable semantic consistency across discovery, clinical, regulatory, and real-world data. Align Neuroscience Ontology with enterprise metadata standards and external frameworks (e.g., CDISC, GA4GH, FHIR, NCI Thesaurus). Collaboration & Integration Partner with Knowledge Management, Data Product Architecture & Governance, and Master Data Management teams to ensure Neuroscience data products integrate seamlessly into enterprise ontologies, knowledge graphs, and catalogs. Collaborate with Neuroscience Data Science, clinical, translational, and commercial Neuroscience stakeholders to co-create solutions that maximize the value of Neuroscience data assets. Interface with regulatory and compliance teams to ensure Neuroscience data products meet global standards. Team & Operating Model Leadership Lead a cross-functional team of product owners, data engineers, and Neuroscience data domain experts aimed at delivering data products to Neuroscience. Establish and implement governance models, agile delivery processes, and value-tracking metrics for Neuroscience data products. Value Realization & Communication Define and track KPIs to measure the impact of Neuroscience data products on scientific insights, trial efficiency, and regulatory outcomes. Communicate vision, roadmap, and value realization to Neuroscience leadership, data science teams, and executive stakeholders. Champion data literacy and adoption within the Neuroscience TA. Strategic Impact The Director, Data Strategy & Products- Neuroscience TA is responsible to ensure Neuroscience data is transformed into trusted, AI-ready products that accelerate discovery, improve trial design and execution, and strengthen regulatory readiness. By embedding semantic rigor and aligning with enterprise data strategy, this role positions Neuroscience data as a strategic asset that drives scientific innovation and patient impact across Janssen R&D. Qualifications Education PhD or Master's in informatics, computer science, life sciences or related discipline. Skills & Expertise 8+ years of experience in pharma/biotech R&D with a focus on data product development and delivery, or data science. A focus on Neuroscience is a plus. Strong track record in data product development, data integration, or semantic modeling within a TA or domain-specific context. Experience working with multi-modal Neuroscience data, including omics, imaging, translational, clinical trial, and RWE data. Deep knowledge of data products, database design, data transformation/mapping. Neuroscience research, clinical trial design, and regulatory data requirements is a plus. Familiarity with metadata management, ontologies, knowledge graphs, and industry data standards (e.g., CDISC, GA4GH). 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

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: Scientific/Technology All Job Posting Locations: Cambridge, Massachusetts, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: Johnson & Johnson Innovative Medicine is recruiting for a Knowledge Graph Engineer, R&D Data Science & Digital Health - Data Strategy and P ro d uct s . The primary location is Barcelona or Madrid, Spain but is also open to Titusville, NJ; Spring House, PA; or Cambridge, MA . Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Engineers 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 Job Responsibilities We are committed to using innovative technology to improve healthcare outcomes worldwide. As part of this mission, we are seeking a Knowledge Graph Engineer to join our Data Strategy and Products tea m to standardize and conne ct biomedical and clinical dat a . You will be a hands-on technical contributor with depth in semantic technologies, ontology , and graph data modeling , plus strong familiar it y with the life sciences domain . Yo u will connect en terprise master data with R&D data across the entire product lifecycle so trusted, interoperable knowledge powers analytics, search, and AI across Johnson and Johnson Innovative Medicine . Contribute to the design and implementation of a scalable knowledge graph infrastructure focused on data standardization and interoperability. Curate and extend ontologies for clear mapping into established biomedical ontologies and controlled terminologies using RDF standards. Apply graph-based data modeling for efficient organization, integration and retrieval to ensure system flexibility and long-term maintainability. Stand up SPARQL/ GraphQL /REST services; develop ingestion and curation pipelines to ingest, normalize and map concepts across data sources . Extend and curate ontologies (e.g., diseases, drugs, targets, pathways, etc.) and maintain synonyms , cross-references, and provenance. Partner with cross-functional teams to enable NLP/RAG over graphs, features for predictive modeling and terminology services for search and study design tools. Work with IT and DevOps teams to deploy and manage the graph database infrastructure, focusing on high availability, scalability, and recovery operations. Create and be responsible for documentation, such as data dictionaries, data lineage, and data flow diagrams, to facilitate understanding of the knowledge graph. Job Qualifications Desired Ph.D. or master's degree in bioengineering, computer science, IT, bioinformatics, physics, mathematics, or related fields, emphasis on semantic technologies and biomedical application. At least 5 years professional experience in health informatics, or at least 7 years of professional experience or with additional consideration for candidates with graduate degrees or equivalent experience. Programming background in parser combinators, natural language processing, and linked data (RDF Triple Stores and property graphs). Demonstrated experience in large-scale knowledge graphs construction, ontology development, pharmaceutical or healthcare domains integration. Proficiency in semantic web technologies (SPARQL, RDF, OWL), familiarity with graph databases (Neo4j, Amazon Neptune). Proven work with complex biomedical datasets, including genomics, proteomics, and high-throughput screening data. Impressive records in a pharmaceutical, biotech, or related research environment are preferred. Proficiency in various data storage solutions (SQL, key-value, column, document, graph stores) and data modeling techniques (semantic data, ontologies, taxonomies). Experience in CI/CD implementations, git usage, CI/CD stacks (Jenkins, GitLab, Azure DevOps), DevOps tools, metrics/monitoring, and containerization technologies (Docker, Singularity). Strong skills in analysis, problem-solving, organizational change, project delivery, and managing external vendors. Demonstrated agile decision-making, performance management, continuous learning, and commitment to quality. Ability to multi-task, prioritize work, exhibit organizational skills and flexibility to deliver maximum business value. Capacity to translate discussions into user requirements and project plans. Willingness to travel less than 25% to conferences and internal meetings. #JRDDS #JNJDataScience The anticipated base pay range for this position is : 146.200 USD - 197.800 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

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 – Neuroscience. This position has a primary location of Titusville, NJ but is also open to Spring House, PA or Cambridge, MA . The position will require 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 – Neuroscienceis 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 Neuroscience Therapeutic Area (TA). This role ensures that high-value internal and external Neuroscience data assets—including preclinical, translational, clinical, competitive intelligence, and real-world data (RWD/RWE)—are standardized, productized, and integrated into Janssen’s enterprise R&D data ecosystem. Working closely with Data Science teams, Neuroscience TA scientific leaders, and the broader Data Strategy & Products organization, this leader ensures that Neuroscience data products fill business requirements, such as being AI-ready, semantically consistent, and interoperable, enabling faster discovery, stronger evidence generation, and better regulatory outcomes. Key Responsibilities Data Product Strategy & Execution Lead a team to develop technical requirements for Neuroscience-facing data products Define and maintain a roadmap for Neuroscience data products, spanning discovery, translational research, clinical development, and real-world evidence. Develop data products through , agile delivery, and FAIR data principles to ensure products are scalable, interoperable, and reusable across Janssen and partner functions. Deliverintegration of internal and external Neuroscience data sources (e.g., clinical trial data, genomics/omics, competitor intelligence, registry and RWE datasets). Ontology & Semantic Modeling Contribute to the development and governance of a Neuroscience Ontology to enable semantic consistency across discovery, clinical, regulatory, and real-world data. Align Neuroscience Ontology with enterprise metadata standards and external frameworks (e.g., CDISC, GA4GH, FHIR, NCI Thesaurus). Collaboration & Integration Partner with Knowledge Management, Data Product Architecture & Governance, and Master Data Management teams to ensure Neuroscience data products integrate seamlessly into enterprise ontologies, knowledge graphs, and catalogs. Collaborate with Neuroscience Data Science, clinical, translational, and commercial Neuroscience stakeholders to co-create solutions that maximize the value of Neuroscience data assets. Interface with regulatory and compliance teams to ensure Neuroscience data products meet global standards. Team & Operating Model Leadership Lead a cross-functional team of product owners, data engineers, and Neurosciencedata domain experts aimed at delivering data products to Neuroscience. Establish and implement governance models, agile delivery processes, and value-tracking metrics for Neuroscience data products. Value Realization & Communication Define and track KPIs to measure the impact of Neuroscience data products on scientific insights, trial efficiency, and regulatory outcomes. Communicate vision, roadmap, and value realization to Neuroscience leadership, data science teams, and executive stakeholders. Champion data literacy and adoption within the Neuroscience TA. Strategic Impact The Director, Data Strategy & Products – Neuroscience TA is responsible to ensure Neuroscience data is transformed into trusted, AI-ready products that accelerate discovery, improve trial design and execution, and strengthen regulatory readiness. By embedding semantic rigor and aligning with enterprise data strategy, this role positions Neuroscience data as a strategic asset that drives scientific innovation and patient impact across Janssen R&D. Qualifications Education PhD or Master’s in informatics, computer science, life sciencesor related discipline. Skills & Expertise 8+ years of experience in pharma/biotech R&D with a focus ondata product development and delivery, or data science. A focus on Neuroscience is a plus. Strong track record in data product development, data integration, or semantic modeling within a TA or domain-specific context. Experience working with multi-modal Neuroscience data, including omics, imaging, translational, clinical trial, and RWE data. Deep knowledge of data products, database design, data transformation/mapping. Neuroscience research, clinical trial design, and regulatory data requirementsis a plus. Familiarity with metadata management, ontologies, knowledge graphs, and industry data standards (e.g., CDISC, GA4GH). 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

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

The Team CZI and its Biohub Network supports the science and technology that will make it possible to help scientists cure, prevent, or manage all diseases by the end of this century. While this may seem like an audacious goal, in the last 100 years, biomedical science has made tremendous strides in understanding biological systems, advancing human health, and treating disease. Achieving our mission will only be possible if scientists are able to better understand human biology. To that end, we have identified four grand challenges that will unlock the mysteries of the cell and how cells interact within systems - paving the way for new discoveries that will change medicine in the decades that follow: Building an AI-based virtual cell model to predict and understand cellular behavior Developing novel imaging technologies to map, measure and model complex biological systems Creating new tools for sensing and directly measuring inflammation within tissues in real time.tissues to better understand inflammation, a key driver of many diseases Harnessing the immune system for early detection, prevention, and treatment of disease Our work in science is focused on doing fundamental research to better understand human biology and building the tools and technology that move science forward to prevent disease and get to cures faster. Join us in accelerating science. The Opportunity At CZI, we are generating unprecedented scientific datasets that drive biological modeling innovation: Billions of standardized cells of single-cell transcriptomic data, with a focus on measuring genetic and environmental perturbations 10s of thousands of donor-matched DNA & RNA samples PB-scale static and dynamic imaging datasets TB-scale mass spectrometry datasets Diverse, large multi-modal biological datasets that enable biological bridges across measurement types and facilitate multi-modal model training to define how cells act. After model training, we make all data products available through public resources like CELLxGENE Discover and the CryoET Portal, used by tens of thousands of scientists monthly to advance understanding of genetic variants, disease risk, drug toxicities, and therapeutic discovery. As a Senior Staff Data Scientist, you'll lead the creation of groundbreaking imaging datasets that decode cellular function at the molecular level, describe development, and predict responses to genetic or environmental changes. Working at the intersection of data science, biology, and AI, you'll define data needs, format standards, analysis approaches, quality metrics, and our technical strategy, creating systems to ingest, transform, and validate and deploy data products. Success for this role means delivering high-quality, usable datasets that directly address modeling challenges and accelerate scientific progress. Join us in building the data foundation that will transform our understanding of human biology and move us along the path to curing, preventing, and managing all disease. What You'll Do Define the technical strategy for a robust imaging data ecosystem and build data ingestion pipelines, define data formats, write validation tools, QC metrics, and analysis pipelines. Collaborate with ML engineers, AI Researchers, and Data Engineers to iteratively evaluate, refine and grow datasets to maximize model performance. Discover and define new data generation opportunities, and manage the delivery of those data products to our AI team. Collaborate with engineers, product managers, UX designers, and other data scientists to publish valuable datasets as part of CZI's open data ecosystem. What You'll Bring 10+ years of experience with large scale biological imaging data. Demonstrated delivery of multiple large biological data products. Experience with big data: extraction, transport, loading, databases, standardization, validation, QC, and analysis. Experience with processing and orchestration pipelines, such as Argo Workflows, Databricks Strong fundamentals in statistical reasoning and machine learning. Experience with biological data analysis and QC best practices Excellent written and verbal communication skills. Enthusiasm to ramp up on technologies and learn new domains. Experience working in a multidisciplinary environment (engineering, product, AI Research). Compensation The Redwood City, CA base pay range for a new hire in this role is $241,000 - $331,100. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process. Better Together As we grow, we're excited to strengthen in-person connections and cultivate a collaborative, team-oriented environment. This role is a hybrid position requiring you to be onsite for at least 60% of the working month, approximately 3 days a week, with specific in-office days determined by the team's manager. The exact schedule will be at the hiring manager's discretion and communicated during the interview process. Benefits for the Whole You We're thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible. CZI provides a generous employer match on employee 401(k) contributions to support planning for the future. Annual benefit for employees that can be used most meaningfully for them and their families, such as housing, student loan repayment, childcare, commuter costs, or other life needs. CZI Life of Service Gifts are awarded to employees to "live the mission" and support the causes closest to them. Paid time off to volunteer at an organization of your choice. Funding for select family-forming benefits. Relocation support for employees who need assistance moving to the Bay Area And more! If you're interested in a role but your previous experience doesn't perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role. Explore our work modes, benefits, and interview process at www.chanzuckerberg.com/careers. #LI-Hybrid

Job Description Principal Data Scientist, MSAT - Data Science and Automation Engineering, Vertex Pharmaceuticals (Boston) Vertex MSAT team is seeking a Principal Data Scientist to join a growing team in support of commercial Cell and Gene Therapy programs. This position will be responsible for supporting and providing technical support in alignment with defined program priorities pertaining to data acquisition, analysis, trending, visualization, and reporting. Key Responsibilities: Identify and develop technical solutions to enable program and company goals. Lead/support development of data trending visualizations using Statistica and for process parameters Lead/support the Development of Routine Data Visualization charts and tools Develop scripts for automated reporting of trends and correlations Develop visualization for acknowledged alarm reporting and trending Author SOPs and work instructions to standardize the process of pulling trend reports from TIBCO. Support and author technical protocols, reports, and other GMP supporting documents. Contribute to developing technical solutions to enable program and company goals. Ability to work within a team and independently Provide regular (weekly) updates towards project goals. Minimal Requirements: PhD, MS, or BS in relevant science or engineering discipline. PhD with 3+ years, MS with 5+ years, or BS with 9+ years of experience. Significant experience with data software packages including Statistica and Spotfire at a minimum. Strong understanding of Statistics Experience with cell therapy or large-scale GMP manufacturing for biopharmaceutical manufacturing Experience with designing process monitoring tools to detect OOT/OOE Experience with designing process visualization tools to show process trends Experience with process characterization and process control strategy is a plus. Experience with cGMP regulations/guidance and with regulatory agency inspections is a plus. Experience working and leading projects in a matrixed organization Experience working with external partners (CMOs, vendors, etc.). Excellent communication skills, both written and verbal Ability to travel, nationally and internationally, up to 10 - 15%. Flexibility to work on site a minimum of 3 days per week. Pay Range: $142,800 - $214,200 Disclosure Statement: The range provided is based on what we believe is a reasonable estimate for the base salary pay range for this job at the time of posting. This role is eligible for an annual bonus and annual equity awards. Some roles may also be eligible for overtime pay, in accordance with federal and state requirements. Actual base salary pay will be based on a number of factors, including skills, competencies, experience, and other job-related factors permitted by law. At Vertex, our Total Rewards offerings also include inclusive market-leading benefits to meet our employees wherever they are in their career, financial, family and wellbeing journey while providing flexibility and resources to support their growth and aspirations. From medical, dental and vision benefits to generous paid time off (including a week-long company shutdown in the Summer and the Winter), educational assistance programs including student loan repayment, a generous commuting subsidy, matching charitable donations, 401(k) and so much more. Flex Designation: Hybrid-Eligible Or On-Site Eligible Flex Eligibility Status: In this Hybrid-Eligible role, you can choose to be designated as: Hybrid: work remotely up to two days per week; or select On-Site: work five days per week on-site with ad hoc flexibility. Note: The Flex status for this position is subject to Vertex's Policy on Flex @ Vertex Program and may be changed at any time. Company Information Vertex is a global biotechnology company that invests in scientific innovation. Vertex is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, sexual orientation, marital status, or any characteristic protected under applicable law. Vertex is an E-Verify Employer in the United States. Vertex will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law. Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should make a request to the recruiter or hiring manager, or contact Talent Acquisition at ApplicationAssistance@vrtx.com

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: Scientific/Technology All Job Posting Locations: Cambridge, Massachusetts, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: Job Description Johnson & Johnson Innovative Medicine is recruiting for an Ontology Developer, R&D Data Science & Digital Health- Data Strategy and Platforms. The primary location is Barcelona or Madrid, Spain but is also flexible to Titusville, NJ; Spring House, PA; or Cambridge, MA. Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Engineers 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 Job Responsibilities Johnson and Johnson Innovative Medicine is recruiting for an Ontology Developer, Data Strategy and Products to design, build, and govern the semantic backbone that connects data across pharmaceutical life cycle. You'll translate business concepts into well-formed ontologies, controlled vocabularies, and semantic standards that power interoperability, search and discovery, analytics, and AI/ML. The role combines hands-on ontology engineering with product thinking, partnering closely with governance, knowledge management, and domain stakeholders. You are a leading technical contributor and creative problem solver with a strong background in semantic technologies, ontology, graph-based data modeling, and a deep understanding of the life sciences domain. Model, code, test, and release ontology modules and mappings that power knowledge graph, master/reference data, analytics, and AI/LLM applications. Translate domain knowledge from subject-matter experts into OWL/RDF classes and properties, SKOS vocabularies, and SHACL constraints, and publish validated, versioned packages and APIs for broad reuse. Develop and maintain ontologies representing domain-specific knowledge in healthcare and life sciences for drug discovery Own the ontology roadmap for key domains - define scope, use cases, and success metrics; align with internal canonical models and relevant W3C/domain standards. Model and govern the ontology using (OWL, RDFS, SKOS, SHACL); capture provenance and maintain SPARQL queries with validation. Define and enforce standards-modeling guidelines, naming/versioning, change control, releases/deprecations-and partner with enterprise governance/tooling teams to embed reusable patterns for product teams and consumers. Implement data quality checks (coverage, conformance, unit/ID normalization) and contribute to validation reports. Job Qualifications Desired Ph.D. or master's degree in bioengineering, computer science, IT, bioinformatics, physics, mathematics, or related fields, emphasis on semantic technologies and biomedical application. 3-5+ years of hands-on ontology/knowledge modeling, taxonomy design, and metadata standards. Proficiency with OWL, RDF(S), SKOS, SHACL, SPARQL, ontology design patterns and reasoning concepts. Demonstrated experience in large-scale knowledge graphs construction, ontology development, pharmaceutical or healthcare domains integration. Proficiency in semantic web technologies (SPARQL, RDF, OWL), familiarity with graph databases (Neo4j, Amazon Neptune, GraphDB). Experience in CI/CD implementations, git usage, CI/CD stacks (Jenkins, GitLab, Azure DevOps), DevOps tools, metrics/monitoring, and containerization technologies (Docker, Singularity). Strong skills in analysis, problem-solving, organizational change, project delivery, and managing external vendors. Proven record leading improvement initiatives with multi-disciplinary and remote partners. Excellent skills in customer focus, networking, communication, presentation Demonstrated agile decision-making, performance management, continuous learning, and commitment to quality. Ability to multi-task, prioritize work, exhibit organizational skills and flexibility to deliver maximum business value. Capacity to translate discussions into user requirements and project plans. Willingness to travel less than 25% to conferences and internal meetings. #JRDDS #JNJDataScience The anticipated base pay range for this position is : 146.200 USD - 197.800 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

Spektrum have a wide range of exciting opportunities in several global locations. We are always looking to add great new talent to our team and look forward to hearing from you. Spektrum supports apex purchasers (NATO, UN, EU and National Government and Defence) and their Tier 1 supplier ecosystem with a wide range of specialist services. We provide our clients with professional services, specialised aerospace and defence sales, delivery, and operational subject matter expertise. We are looking for personnel to join our team and support key client projects. Who we are supporting Allied Command Transformation (ACT) is NATO’s leading agent for change: driving, facilitating, and advocating the continuous improvement of Alliance capabilities to maintain and enhance the military relevance and effectiveness of the Alliance. The main objectives of ACT are: providing appropriate support to NATO missions and operations; leading NATO military transformation; and improving relationships, interaction and practical cooperation with partners, nations and international organisations. ACT therefore leads Alliance concept development, capability development, training and lessons-learned initiatives and provides unfettered military support to policy development within NATO. The program Capability Development & Management Support (CDMS) DCOS Capability Development (CAPDEV) acts as the Supreme Allied Commander Transformation's Director for guidance, direction and coordination of the activities and resources of the Capability Development Directorate. The Requirements Division will execute all tasks and activities needed to support requirements management for NATO capabilities The Capability Requirements (CR) Branch will develop the Capability Requirements Brief and recommended courses of action to resolve issues through the life cycle management of requirements using matrixed, cross-functional project-specific Requirements Management teams. The Requirements Forward Branch (Mons) is responsible for conducting requirements development and management representation and engagement-related functions in Europe. The Capability Division coordinates the development of capabilities from capability planning through acceptance and then disposal with management entities, NATO Headquarters staff and the NATO Governance Structure The Capability Forward Branch (Mons) coordinates with ACO, NCIA, NSPA, NATO HQ, territorial Host Nations, and NATO Centres of Excellence (COEs) to support the development of capabilities. Strategic Plans and Policy (SPP) supports Allied Command Transformation in formalizing military advice to shape future military strategy, political guidance, and other policy documents supporting NATO’s strategic objectives. Role Duties and Responsibilities Contribute to the development and implementation of an enabling data science and AI capability at HQ SACT and across the NATO Enterprise, with a specific focus on scalable data engineering and software systems to support AI initiatives. Design, develop, and maintain robust data pipelines and architectures to manage the ingestion, transformation, and processing of structured and unstructured data for large Language Model (LLM)-based applications and other AI systems. Lead efforts to optimize data delivery and automate data engineering processes, proposing enhancements to infrastructure to improve scalability, efficiency, and reliability in support of LLM deployments. Build API-based infrastructure and frameworks that enable seamless integration of LLMs and ML models with operational systems, ensuring performance, security, and interoperability with NATO environments. Support the development, testing, and validation of microservices and containerized applications to operationalize AI/ML capabilities, including deployment of LLM use cases within NATO. Implement distributed data storage and processing systems (e.g., cloud-based or hybrid architectures) that align with NATO standards and enable scalable use of LLMs across the enterprise. Develop tools and systems to improve data accessibility, enabling data scientists and analysts to efficiently interact with and query data for training, inference, and analytics. Coordinate with data scientists, software engineers, and system architects to align data engineering workflows with broader AI/ML objectives, ensuring timely delivery of clean, high-quality data for LLM training and inference. Establish mechanisms for real-time data processing and streaming, enabling LLMs to operate effectively in dynamic and responsive applications, such as operational decision support or strategic analysis. Conduct preprocessing, cleansing, and transformation of raw data into formats optimized for training, fine-tuning, and inference within LLM infrastructure. Implement robust monitoring, logging, and performance optimization tools for data pipelines and APIs, ensuring reliability and traceability of LLM-enabled workflows. Collaborate with teams to support federated learning approaches and cross-domain data sharing, ensuring compliance with NATO data sovereignty, security, and ethical guidelines. Provide subject matter expertise on data engineering and software development to (military and civilian) staff within HQ SACT or the NATO Enterprise, and develop proofs of concept for LLM-based applications as directed. Research, recommend, and implement best practices for deploying LLMs in secure, cloud-based environments such as Microsoft Azure or AWS, while considering NATO-specific data policies and standards. Evaluate operational requirements and objectives, recommending appropriate engineering solutions for integrating LLMs into NATO workflows and systems. Stay abreast of new developments in AI engineering, including innovations in LLM technologies, data architectures, distributed computing, and API development, to bring cutting-edge capabilities into implementation within NATO. Provide technical training and mentoring to NATO staff, supporting educational efforts in AI engineering, data pipeline design, API development, and digital literacy. Foster a culture of innovation and data-driven decision-making across NATO by building scalable systems that enable the effective exploitation of LLMs and advanced analytics. Perform additional tasks as required by the Contracting Officer’s Technical Representative (COTR) related to the LABOR category. Essential Skills and Experience Minimum 4 years of proven work experience as a Data Scientist, Machine Learning Engineer, Data Engineer, or Software Engineer, with a strong emphasis on distributed systems, cloud-based architectures, developing operational AI/ML solutions, and designing API-based infrastructures, microservices architectures, and containerized applications (e.g., Docker, Kubernetes). Demonstrated experience working with GenAI, in particular LLMs, including preprocessing data, fine-tuning, and deployment in secure and scalable environments to include AI/ML frameworks such as TensorFlow, PyTorch, or scikit-learn. Proven expertise in programming languages such as Python, Java, or Scala, with demonstrated experience in software engineering practices (e.g., version control, CI/CD pipelines, containerization). Experience building and optimizing data pipelines, ETL processes, and real-time streaming solutions using tools like Apache Airflow, Kafka, Spark, or equivalent. Knowledge of applied AI principles, particularly in implementing AI systems for operational decision support and analyzing unstructured data (e.g., text, imagery). Ability to architect and maintain scalable data lakes, data warehouses, or distributed storage systems (e.g., Delta Lake, Snowflake, Hadoop, or NoSQL solutions). Demonstrated understanding of data security, privacy, and sovereignty issues, particularly in military or international environments, ensuring compliance with NATO operational and ethical standards. Experience building visually impactful reports, dashboards, and analytics using tools such as Tableau, MS Power BI, or Kibana, supporting informed decision-making for high-level stakeholders. Professional experience in NATO environments or familiarity with NATO processes, organizational culture, and decision-making structures. Ability to translate operational problems into practical AI/ML solutions tailored for military and civilian teams. Proven ability to collaborate effectively within multidisciplinary teams, including coordinating with data scientists, software engineers, and system architects on cross-functional projects. Strong oral and written communication skills, with the ability to brief non-technical audiences and mentor staff in AI engineering, data science, and software development concepts. Desirable Qualifications Experience leveraging open-source frameworks and publicly available datasets to develop innovative AI and data engineering solutions for operational or analytical use cases. Proficiency in presenting data-driven insights clearly to non-technical audiences, showcasing an ability to craft compelling narratives and actionable recommendations for senior leadership. Understanding of military staff workflows and processes, alongside familiarity with federated learning techniques for enabling secure collaboration across NATO nations while preserving sovereignty of sensitive datasets. Exposure to agile project management methods and tools (e.g., Loop, JIRA, Trello) for coordinating and tracking progress across multi-disciplinary AI/ML projects. Eligibility for NATO security clearance and prior experience working with classified or sensitive data, including understanding security protocols for processing, handling, and securing such data. Exposure to cross-domain data sharing and API-driven interoperability, ensuring effective integration across systems while adhering to security and ethical guidelines within military or international environments. Familiarity with principles of ethical AI development, including considerations for bias mitigation, responsible data handling, and alignment with NATO’s ethical frameworks for AI deployment. Education A Bachelor’s degree or higher at a nationally recognized/certified university in Data Science, Data Analytics, AI engineering, or a related discipline such as Mathematics, Physics, Computer Science, Software Engineering OR 4 years minimum professional experience in the area of Data Science, including providing analysis and advice in the field of data science, within the last 5 years. Language Proficiency Advanced Proficiency in English Working Location Norfolk, VA, USA Working Policy On-Site Contract Duration January 2026 – December 2030 Security Clearance Valid National or NATO Secret personal security clearance We never know what new opportunities might be just over the horizon. If this opportunity isn't for you please feel free to send us your resume anyway and be the first to know if something suitable for your skills and experience comes up.

Spektrum have a wide range of exciting opportunities in several global locations. We are always looking to add great new talent to our team and look forward to hearing from you. Spektrum supports apex purchasers (NATO, UN, EU and National Government and Defence) and their Tier 1 supplier ecosystem with a wide range of specialist services. We provide our clients with professional services, specialised aerospace and defence sales, delivery, and operational subject matter expertise. We are looking for personnel to join our team and support key client projects. Who we are supporting Allied Command Transformation (ACT) is NATO’s leading agent for change: driving, facilitating, and advocating the continuous improvement of Alliance capabilities to maintain and enhance the military relevance and effectiveness of the Alliance. The main objectives of ACT are: providing appropriate support to NATO missions and operations; leading NATO military transformation; and improving relationships, interaction and practical cooperation with partners, nations and international organisations. ACT therefore leads Alliance concept development, capability development, training and lessons-learned initiatives and provides unfettered military support to policy development within NATO. The program Capability Development & Management Support (CDMS) DCOS Capability Development (CAPDEV) acts as the Supreme Allied Commander Transformation's Director for guidance, direction and coordination of the activities and resources of the Capability Development Directorate. The Requirements Division will execute all tasks and activities needed to support requirements management for NATO capabilities The Capability Requirements (CR) Branch will develop the Capability Requirements Brief and recommended courses of action to resolve issues through the life cycle management of requirements using matrixed, cross-functional project-specific Requirements Management teams. The Requirements Forward Branch (Mons) is responsible for conducting requirements development and management representation and engagement-related functions in Europe. The Capability Division coordinates the development of capabilities from capability planning through acceptance and then disposal with management entities, NATO Headquarters staff and the NATO Governance Structure The Capability Forward Branch (Mons) coordinates with ACO, NCIA, NSPA, NATO HQ, territorial Host Nations, and NATO Centres of Excellence (COEs) to support the development of capabilities. Strategic Plans and Policy (SPP) supports Allied Command Transformation in formalizing military advice to shape future military strategy, political guidance, and other policy documents supporting NATO’s strategic objectives. Role Duties and Responsibilities As a member of the Data Science & Artificial Intelligence (DSAI) Branch, responsible to the Section Head/COTR, the contractor will contribute to the development and implementation of an enabling data science and AI capability at HQ SACT and for the NATO Enterprise, particularly in the context of the ongoing implementation of the Data Exploitation Framework and Programme. Identifies, contributes to, and implements machine learning (ML)/AI initiatives across HQ SACT and the NATO Enterprise with suggestions for ML approaches and implementation, including the processing of training data and performance assessment of machine learning techniques on datasets. Applies existing data science techniques to new problems and datasets using specialized programming techniques to meet the needs of the project and customer. Evaluates the outcomes and performance of data science models. Identifies and implements opportunities to train and improve models and the data they use. Publishes and reports on machine learning model outputs to meet customer needs and conform to agreed standards. Utilizes in-depth knowledge of NLP, ML applications, or computer vision. Demonstrates experience with Generative AI. Supports review of data science and AI activities, processes, products, or services. Collaborates with other data professionals (such as data scientists, data and information managers, data engineers), software engineers, and SMEs from different functional areas, branches, and directorates within HQ SACT or NATO entities, as directed, for example in support of the ACT Innovation Branch. Provides subject matter expertise to (military and civilian) staff within HQ SACT or the NATO Enterprise and develops proofs of concept, as directed. Outreach support to internal and external communities that bring together DS & AI practitioners and consumers. This comprises, for example, TIDE Sprint, the NATO Data Science & AI Expert Network, or initiatives related to academia and industry. Contributes to the development of scientific studies. Assists with educational efforts and training development and execution as it relates to data, AI, or digital literacy. Remains current with new developments in data science and AI to bring innovative ideas into implementation. Supports building a data-driven culture that uses analytics to generate insights, improve decision-making at all levels, inform strategy and policy decisions, and enhance performance. Performs additional tasks as required by the COTR related to the LABOR category. Essential Skills and Experience Proven work experience as a Data Scientist, AI/ML Engineer, or a similar role in the last four years. Experience in modern software architecture and software development related to data science, analytics, and AI, e.g., Python, SQL, R. Experience with machine learning and AI frameworks, using e.g., TensorFlow, PyTorch, scikit-learn, or other modern machine learning frameworks. Experience with planning, executing, and maintaining data science pipelines. Experience visualizing data and producing high-quality graphs and reports, charts, and interactive dashboards using tools such as Tableau, MS Power BI, Kibana. Proven understanding of data security and privacy issues, particularly in international or military environments, to ensure compliance with NATO standards for protecting sensitive information Experience in providing training in various areas related to data science, analytics, and AI at different technical levels. Portfolio of demonstrable products available via GitLab, or other platforms. Ability to work in a cloud environment, particularly Microsoft Azure or Amazon Web Services. Working experience in an international environment with both military and civilian elements. Proven ability to communicate effectively orally and in writing, with excellent briefing skills. Working experience in data science and AI related outreach activities, such as working with academia and industry, hackathons, or maintaining AI expert and practitioner networks. Demonstrated experience working at NATO or extensive familiarity with NATO processes, culture, and organizational structures. Desirable Qualifications Experience working within a Big Data ecosystem, with tools such as Databricks, Spark, etc. Experience working with open source and publicly available data. Experienced ‘data storyteller,’ capable of presenting findings and insights effectively to non-technical audiences. Experience working on a military staff. Familiarity with federated learning methodologies to support secure collaboration and data sharing across NATO nations while maintaining sovereignty of sensitive datasets Knowledge of NATO organization and its functions. Experience in project management, including agile methods and tools. Additional language skills, particularly those of NATO partner and member states, are advantageous. Eligibility and past experience working with NATO security clearance requirements to access and process classified or sensitive data. Education A Bachelor’s degree or higher at a nationally recognized/certified university in Data Science, Data Analytics, AI engineering, or a related discipline such as Mathematics, Physics, Computer Science, Software Engineering OR four years minimum professional experience in the area of Data Science, including providing analysis and advice in the field of data science, within the last five years. Language Proficiency Advanced Proficiency in English Working Location Norfolk, VA, USA Working Policy On-Site Contract Duration January 2026 – December 2030 Security Clearance Valid National or NATO Secret personal security clearance We never know what new opportunities might be just over the horizon. If this opportunity isn't for you please feel free to send us your resume anyway and be the first to know if something suitable for your skills and experience comes up.