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POSITION SUMMARY We are seeking a Data Science Intern for our Summer 2026 Internship Program. This intern will support data science efforts for our Breakthrough division by assisting in day-to-day operations as well as in the execution of a summer project solving a data science problem. U.S. Venture's Internship Program runs May - August. Dates may vary based on individual class schedules. This position is located in Green Bay, WI [1175 Lombardi Ave, Green Bay, WI 54304]. JOB RESPONSIBILITIES Assist the Data Science team with incoming requests: Contribute to client projects Query and visualize data Support other Internal Data Science functions Model maintenance and performance management Data cleanup initiatives App maintenance Execute and present a data science project to Breakthrough's senior leadership team QUALIFICATIONS Required: Current student pursuing a degree in Data Science, Data Analytics, Statistics, Mathematics, Computer Science, or a related field involving problem solving and critical thinking, or equivalent work experience. Junior or Senior status preferred. Preferred Skills/Interests: SQL, R, Python, git Data visualization Model building Statistical analysis Optimization Data engineering Geospatial analysis DIVISION: Breakthrough U.S. Venture requires that a team member have and maintain authorization to work in the country in which the role is based. In general, U.S. Venture does not sponsor candidates for nonimmigrant visas or permanent residency unless based on business need. U.S. Venture will not accept unsolicited resumes from recruiters or employment agencies. In the absence of an executed recruitment Master Service Agreement, there will be no obligation to any referral compensation or recruiter fee. In the event a recruiter or agency submits a resume or candidate without an agreement, U.S. Venture shall reserve the right to pursue and hire those candidate(s) without any financial obligation to the recruiter or agency. Any unsolicited resumes, including those submitted to hiring managers, shall be deemed the property of U.S. Venture. U.S. Venture, Inc. is an equal opportunity employer that is committed to inclusion and diversity. We ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender, gender identity or expression, marital status, age, national origin, disability, veteran status, genetic information, or other protected characteristic. If you need assistance or an accommodation due to a disability, you may call Human Resources at (920) 739-6101.

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 Portfolio Management Job Category: Professional All Job Posting Locations: Cambridge, Massachusetts, United States of America, New Brunswick, New Jersey, United States of America, Raritan, New Jersey, United States of America, San Diego, California, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: 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. Our Oncology team is focused on the elimination of cancer by discovering new pathways and modalities to finding treatments and cures. We lead where medicine is going and need innovators with an unwavering commitment to results. 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 Johnson & Johnson Innovative Medicine is recruiting for an Associate Director, R&D Data Science & Digital Health - Oncology/Prostate Cancer to join the J&J Research and Development Data Science and Digital Health team. You will report to the Head of Solid Tumor Oncology, Data Sciences. This position can be located at one of our offices in either Spring House, PA; Titusville, NJ; Raritan, NJ; New Brunswick, NJ; Cambridge, MA; or San Diego, CA, and may require up to 15% travel. Role Summary The R&D Data Science & Digital Health, Oncology Therapeutic Area team at J&J Innovative Medicine is dedicated to developing innovative solutions and critical insights to support clinical programs and regulatory submissions. This Associate Director role, sitting on the Solid Tumor Oncology team, will direct and lead efforts to bring innovative Data Science approaches to late-stage Oncology Compound Development Team(s) with a specific focus on the Prostate Cancer portfolio. You will work with cross-functional collaborative teams to transform Oncology clinical trials through cutting-edge AI, digital health technologies, and advanced statistical methodologies. This may include the discovery, development, and validation of novel AI endpoints, analytics to support study design and development, or innovative digital pathology approaches in support of translational research objectives. By combining deep knowledge of Oncology with expertise in Data Science and Digital Health, you will deliver solutions that enhance patient-centricity, streamline trial execution, and support regulatory and payer acceptance. You will be a thought leader within Johnson & Johnson -- driving strategic collaborations, championing innovation, and elevating Data Science capabilities in Oncology. The successful candidate will lead multidisciplinary teams, manage internal and external partnerships, and provide technical expertise to enhance R&D success and patient impact. The Associate Director will: Serve as primary scientific and strategic business leader for clinical-stage Prostate Cancer Programs within Data Science & Digital Health. Represent Data Science to Compound Development Team (s), where you will identify, develop and deploy Data Science capabilities and solutions. Provide subject matter expertise in prostate cancer clinical development, trial design, real-world evidence generation, and ML/AI tools. With internal and external teams, leverage advanced analytics, including statistical models and AI/ML, to uncover insights from these complex datasets Work closely with individual clinical project teams as well as functional area partners in Regulatory Affairs, Market Access, Clinical Development, Epidemiology, Commercial Data Science, Statistics, and others to deploy Data Science solutions. Evaluate and manage external partnerships that can leverage new technologies/solutions/data assets for Prostate cancer program needs Required Qualifications: Advanced degree (PhD, MD, PharmD or MS) in a field experienced working with high-dimensional datasets (e.g., Data Science, Pharmacoepidemiology, Biostatistics, Outcomes Research, Public Health, Computer Science). 5+ years of experience in pharmaceutical, biotech, or healthcare analytics, with a focus on oncology and/or hematology. An understanding of common data science research practices, such as predictive technologies, data mining and/or text mining Hands-on experience with a range of data science use cases in R&D (e.g., ECAs, site selection algorithms) and strong problem-solving abilities Experience working with healthcare-related datasets, such as electronic health records (EHR), real world data (RWD), or genomics datasets, with an understanding of their structure, limitations and applications to research. Prior experience working and driving external partnerships, either corporate or academic setting Proven track record of managing timelines and driving key deliverables in a matrixed organization Excellent communication, interpersonal, and written skills Preferred Qualifications: Working knowledge of genitourinary clinical oncology, such as treatment paradigms, patient experience, and clinical trials Hematology/ Oncology fellowship training R&D Experience at a pharmaceutical company, biotech or partner organization Knowledge of regulatory science. This position currently has the option to follow a hybrid schedule of 3 days per week working on site and 2 days per week working remotely (no fully remote option available), and can be located at one of our offices in either Spring House, PA; Titusville, NJ; Raritan, NJ; New Brunswick, NJ; Cambridge, MA; or San Diego, CA. Up to approximately 15% travel may be required. 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, please contact us via https://www.jnj.com/contact-us/careers or internal employees contact AskGS to be directed to your accommodation resource. The anticipated base pay range for this position is $137,000 to $235,750. The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation's performance over a calendar/performance year. Bonuses are awarded at the Company's discretion on an individual basis. Employees and/or eligible dependents may be 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. Employees may be eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)). Employees are eligible for the following time off benefits: Vacation - up to 120 hours per calendar year Sick time - up to 40 hours per calendar year Holiday pay, including Floating Holidays - up to 13 days per calendar year of Work, Personal and Family Time - up to 40 hours per calendar year Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits The compensation and benefits information set forth in this posting applies to candidates hired in the United States. Candidates hired outside the United States will be eligible for compensation and benefits in accordance with their local market. #LI-SL #JNJDataScience #JNJIMRND-DS #JRDDS #LI-Hybrid

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: R&D Product Development Job Sub Function: R&D Machine Learning Job Category: People Leader All Job Posting Locations: Cambridge, Massachusetts, United States of America, La Jolla, California, 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 Senior Director of Generative AI - R&D Data Science & Digital Health. This position can be located in New Brunswick, NJ; Titusville, NJ; Springhouse, PA; La Jolla, CA; Cambridge, MA; Beerse, Belgium; High Wycombe, UK; or Zug, Switzerland. This position will require up to 25% travel. Candidates interested in the UK, Switzerland, or Belgium please apply using requisition: R-037006 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 About the Role: We are seeking a highly technical leader in Generative AI for our Research & Development Data Science & Digital Health (DSDH) organization. This position reports directly to the VP of AI/ML & Digital Health and is tasked with accelerating and scaling the research, development, and deployment of generative and agentic AI models and solutions for scientific, clinical, and regulatory use cases across R&D. The role encompasses a horizontal engagement across the entire R&D business, positioning you as a senior technical leader in areas such as AI/Generative AI, Large Language Models (LLMs), Large Reasoning Models, Multimodal and Agentic AI. This leader will work across the enterprise, partnering closely with Data Science & Digital Health teams, Johnson & Johnson Technology (JJT), J&J IM R&D therapeutic areas and functions, and interact with senior level stakeholders throughout the company. Responsibilities Lead the technical research and implementation of generative AI methods and multi-modal agentic systems, applied to scientific, clinical, and regulatory use cases across R&D. In close partnership with JJT, research, develop and deploy impactful and scalable GenAI solutions for therapeutic areas including Oncology, Immunology, and Neuroscience, as well as Discovery Product Development & Supply, Global Drug Development, and Global Regulatory Affairs organizations. Attract, upskill and retain top AI talents in the field, manage a technical team, and collaborate with key stakeholders in R&D, DSDH, and JJT. Drive strategic decision-making processes concerning Generative AI and Agentic AI, prioritize projects with partners, and lead the development of cross-R&D GenAI solutions. Drive J&J innovation in the field, leading to high visibility publications in top AI conferences and patents around Generative AI, reasoning, multi-agent systems, etc. Effectively partner with external companies, from startup to Big Tech, to accelerate GenAI development and adoption within J&J IM R&D. Collaborate with key academic centers for research development. Qualifications Advanced degree (PhD) in disciplines such as Computer Science, AI/ML, Engineering, Biomedical engineering, Applied Mathematics or similar. Minimum of 10 years of post-academic, industry experience. Extensive experience in creating scalable and impactful AI solutions, including managing their full life cycle (design, development, testing, deployment, operations & maintenance, etc.). Proven track record of technical proficiency in machine learning, deep learning, Large Language Models (LLMs), large reasoning models (LRM), agentic systems. Excellent coding and software development capabilities, effectively leading a technical team and partners towards the creation of scalable AI solutions. Strong experience in people leadership, and ability to work in a matrixed organization Excellent communication skills and strategic thinking capabilities. Experience in the Life Sciences, Healthcare, Pharmaceutical or Medical Tech sector is preferred. Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center (ra-employeehealthsup@its.jnj.com) or contact AskGS to be directed to your accommodation resource. The anticipated base pay range for this position is $173,000 to $299,000 Additional Description for Pay Transparency Employees and/or eligible dependents may be 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. Employees may be 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. Employees are eligible for the following time off benefits: - Vacation - up to 120 hours per calendar year- Sick time - up to 40 hours per calendar year; for employees who reside in the State of Washington - up to 56 hours per calendar year- Holiday pay, including Floating Holidays - up to 13 days per calendar year- Work, Personal and Family Time - up to 40 hours per calendar year #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 Portfolio Management Job Category: Professional All Job Posting Locations: Cambridge, Massachusetts, United States of America, New Brunswick, New Jersey, United States of America, Raritan, New Jersey, United States of America, San Diego, California, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: 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. Our Oncology team is focused on the elimination of cancer by discovering new pathways and modalities to finding treatments and cures. We lead where medicine is going and need innovators with an unwavering commitment to results. 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 Johnson & Johnson Innovative Medicine is recruiting for an Associate Director, R&D Data Science & Digital Health - Oncology/Prostate Cancer to join the J&J Research and Development Data Science and Digital Health team. You will report to the Head of Solid Tumor Oncology, Data Sciences. This position can be located at one of our offices in either Spring House, PA; Titusville, NJ; Raritan, NJ; New Brunswick, NJ; Cambridge, MA; or San Diego, CA, and may require up to 15% travel. Role Summary The R&D Data Science & Digital Health, Oncology Therapeutic Area team at J&J Innovative Medicine is dedicated to developing innovative solutions and critical insights to support clinical programs and regulatory submissions. This Associate Director role, sitting on the Solid Tumor Oncology team, will direct and lead efforts to bring innovative Data Science approaches to late-stage Oncology Compound Development Team(s) with a specific focus on the Prostate Cancer portfolio. You will work with cross-functional collaborative teams to transform Oncology clinical trials through cutting-edge AI, digital health technologies, and advanced statistical methodologies. This may include the discovery, development, and validation of novel AI endpoints, analytics to support study design and development, or innovative digital pathology approaches in support of translational research objectives. By combining deep knowledge of Oncology with expertise in Data Science and Digital Health, you will deliver solutions that enhance patient-centricity, streamline trial execution, and support regulatory and payer acceptance. You will be a thought leader within Johnson & Johnson -- driving strategic collaborations, championing innovation, and elevating Data Science capabilities in Oncology. The successful candidate will lead multidisciplinary teams, manage internal and external partnerships, and provide technical expertise to enhance R&D success and patient impact. The Associate Director will: Serve as primary scientific and strategic business leader for clinical-stage Prostate Cancer Programs within Data Science & Digital Health. Represent Data Science to Compound Development Team (s), where you will identify, develop and deploy Data Science capabilities and solutions. Provide subject matter expertise in prostate cancer clinical development, trial design, real-world evidence generation, and ML/AI tools. With internal and external teams, leverage advanced analytics, including statistical models and AI/ML, to uncover insights from these complex datasets Work closely with individual clinical project teams as well as functional area partners in Regulatory Affairs, Market Access, Clinical Development, Epidemiology, Commercial Data Science, Statistics, and others to deploy Data Science solutions. Evaluate and manage external partnerships that can leverage new technologies/solutions/data assets for Prostate cancer program needs Required Qualifications: Advanced degree (PhD, MD, PharmD or MS) in a field experienced working with high-dimensional datasets (e.g., Data Science, Pharmacoepidemiology, Biostatistics, Outcomes Research, Public Health, Computer Science). 5+ years of experience in pharmaceutical, biotech, or healthcare analytics, with a focus on oncology and/or hematology. An understanding of common data science research practices, such as predictive technologies, data mining and/or text mining Hands-on experience with a range of data science use cases in R&D (e.g., ECAs, site selection algorithms) and strong problem-solving abilities Experience working with healthcare-related datasets, such as electronic health records (EHR), real world data (RWD), or genomics datasets, with an understanding of their structure, limitations and applications to research. Prior experience working and driving external partnerships, either corporate or academic setting Proven track record of managing timelines and driving key deliverables in a matrixed organization Excellent communication, interpersonal, and written skills Preferred Qualifications: Working knowledge of genitourinary clinical oncology, such as treatment paradigms, patient experience, and clinical trials Hematology/ Oncology fellowship training R&D Experience at a pharmaceutical company, biotech or partner organization Knowledge of regulatory science. This position currently has the option to follow a hybrid schedule of 3 days per week working on site and 2 days per week working remotely (no fully remote option available), and can be located at one of our offices in either Spring House, PA; Titusville, NJ; Raritan, NJ; New Brunswick, NJ; Cambridge, MA; or San Diego, CA. Up to approximately 15% travel may be required. 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, please contact us via https://www.jnj.com/contact-us/careers or internal employees contact AskGS to be directed to your accommodation resource. The anticipated base pay range for this position is $137,000 to $235,750. The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation's performance over a calendar/performance year. Bonuses are awarded at the Company's discretion on an individual basis. Employees and/or eligible dependents may be 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. Employees may be eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)). Employees are eligible for the following time off benefits: Vacation - up to 120 hours per calendar year Sick time - up to 40 hours per calendar year Holiday pay, including Floating Holidays - up to 13 days per calendar year of Work, Personal and Family Time - up to 40 hours per calendar year Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits The compensation and benefits information set forth in this posting applies to candidates hired in the United States. Candidates hired outside the United States will be eligible for compensation and benefits in accordance with their local market. #LI-SL #JNJDataScience #JNJIMRND-DS #JRDDS #LI-Hybrid

Langan provides expert land development engineering and environmental consulting services for major developers, renewable energy producers, energy companies, corporations, healthcare systems, colleges/universities, and large infrastructure programs throughout the U.S. and around the world. Our employees collaborate seamlessly among 40+ offices and gain valuable hands-on experience that fosters career growth. Langan culture is entrepreneurial from advancing innovative technical solutions, to participating in robust training and knowledge sharing, to making progressive change within the communities we live and work. Consistently ranked among the top ten "Best Firms to Work For" and Engineering News-Record's top 50 firms worldwide, Langan attracts and retains the best talent in the industry. Employees thrive at Langan, a firm that fosters an inclusive and supportive work environment for all; prioritizes wellbeing, health, and safety; encourages volunteerism and philanthropy; offers workplace flexibility, along with carbon-neutral office spaces; and empowers individuals to contribute their skills and knowledge to make impactful contributions. Job Summary Langan is seeking a Data Science Intern or Co-op to join its collaborative Information Technology team in Parsippany, NJ. This individual will serve a key function in researching and developing statistical learning models for data analysis using data visualization techniques and tools. In this role, you will have the opportunity to gain practical experience working on projects for an engineering consulting firm. Job Responsibilities Researches and develops statistical learning models for data analysis and performs manipulations and visualization of business data using visualization tools and techniques; Collects and interprets data and provides analysis and recommendations; Performs data analysis to discover trends and patterns; Works alongside teams within the business or the management team to establish business needs; Develops custom data models and algorithms to apply to data sets; Performs other duties as requested. Qualifications Student actively pursuing a Bachelor's or Master's degree in Computer Science, Data Science, or related field; Minimum GPA of 3.0; Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets; Proficiency in PowerBI\Tableau or other data visualization tools and Microsoft Office (Access, Excel, PowerPoint and Word); Strong understanding of data mining techniques and an ability to apply these techniques in real-world business issues; Knowledge of a variety of machine learning techniques and their real-world advantages and drawbacks; Experience in data models and reporting packages and ability to write comprehensive reports; Ability to analyze large data sets; Excellent written and verbal communication skills; Strong attention to detail with excellent, analytical, multitasking, and judgment capabilities; and Ability to effectively work independently and in a team environment. Langan provides a rich array of programs and benefits to help its employees advance their careers and enhance the quality of their lives. Our comprehensive compensation package includes: full-time employment company paid medical, dental, and vision coverage; life insurance, short- and long-term disability insurance, and paid pregnancy disability leave; 401(k)/Roth with company match; paid time off including parental and military leave; employee referral and professional license bonuses; and educational reimbursement. Langan offers employee resource groups; flexible work schedules; extensive training; wellness programs; buddy and mentoring programs; and much more! Langan is committed to providing equal employment opportunities to all qualified applicants and employees, including individuals with disabilities and protected veterans. We believe that an inclusive workplace is essential for the well-being and success of our employees. Certain US jurisdictions require Langan to include an estimate of salary or hourly ranges. The estimated range for this role is: $23 - $30. Actual compensation may vary based on factors such as related work experience, location, market conditions, education/training, certifications and other credentials, as well as applicable knowledge and skills. Certain roles may be eligible for overtime and participation in the firm's annual bonus and performance review program. Bonuses are discretionary and based on individual job performance and the profitability of the firm. Employees are also eligible to receive up to 20 days of paid vacation time, 10 days of paid sick time and 10 paid holidays throughout the year. Eligibility and actual paid time off may vary based on local law and factors such as hours worked, related work experience and level.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Optum Insight partners with payers, providers, governments and life sciences companies to simplify and enhance clinical, administrative and financial processes through software-enabled services and analytics, while advancing value-based care. Our differentiated products, technology insights, clinical expertise and analytics support the entire health system - ultimately delivering better experiences for consumers. Optum Insight Technology and Engineering is a critical function in Optum Insight driving the innovation and value we provide our customers and partners. This team is focused on products, solutions, platform / enabling capability development, product development lifecycle, engineering excellence and connectivity to Optum Technology. We are seeking a visionary leader to drive our Data Science Group's strategic initiatives, focusing on innovation and collaboration. You will transform research into production-ready solutions, lead a globally distributed team, and oversee the development of impactful AI products like Autonomous Coding and RTS Checkout. Collaborate with product, engineering, and business teams to identify and prioritize projects, establish scalable processes, and foster innovation. Your leadership will guide technical problem-solving, manage risks, and ensure products contribute to revenue goals while maintaining solid stakeholder engagement. You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. Primary Responsibilities: Define and drive the vision and strategy for the Data Science Group, aligning with overall business objectives and enterprise-wide initiatives. Ability to take research white papers to production Oversee the development and deployment of high-impact AI products like Autonomous Coding and RTS Checkout, ensuring timely and high-quality delivery Partner with product, engineering, and business teams to integrate data science solutions into enterprise-wide initiatives and drive measurable impact Establish processes, tools, and best practices to scale data science operations and improve team efficiency Lead efforts in research and development to stay at the forefront of machine learning, AI, and data science advancements Guide the team in solving complex technical problems, including cloud-based model deployment and large-scale data engineering Ensure the data science team delivers products and insights that contribute to achieving projected revenue goals Act as a key liaison between the Data Science Group and senior leadership, ensuring alignment and reporting on progress Anticipate and mitigate risks related to data science initiatives, including scalability, technical challenges, and talent retention Collaborate with research, engineering, and product teams to translate cutting-edge AI advancements into production-ready capabilities Uphold ethical AI principles by embedding fairness, transparency, and accountability throughout the model development lifecycle You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: 10+ years of experience in data science, machine learning, or AI 8+ years of hands on experience with AI frameworks including experience working on PyTorch, Vector Databases, Transformers, and Deep Learning architectures 2+ years of hands on experience with Generative AI, State Space Models, LLMs, Foundational Language Model Training Demonstrated experience of machine learning, statistical modeling Proven experience aligning technical initiatives with business goals and driving enterprise-wide impact Experience in team building, mentorship, and talent development fostering a high-performing and innovative team Demonstrated experience managing complex, large-scale projects with multiple stakeholders and tight deadlines Preferred Qualifications: Experience with cloud-based model deployment (e.g., AWS, Azure, GCP) Proven excellent cross-functional collaboration skills, with experience working across product, engineering, and business teams Proven solid communication and presentation skills for engaging with senior leadership and stakeholders Proven track record of driving research and innovation in data science to solve complex business problems Demonstrated ability to deliver measurable business outcomes, such as scaling AI products to achieve revenue targets All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $132,200 to $226,600 annually based on full-time employment. We comply with all minimum wage laws as applicable. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.

The Team CZI 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 state-of-the-art imaging systems to observe living cells in action Instrumenting tissues to better understand inflammation, a key driver of many diseases Engineering and harnessing the immune system for early detection, prevention, and treatment of disease CZI's work in science includes grantmaking programs, open-source software development, and close collaboration with the Chan Zuckerberg Biohub Network. The CZ Biohub Network includes the San Francisco, Chicago, and New York Biohubs as well as the Chan Zuckerberg Imaging Institute. CZI also collaborates with institutional partners like the Kempner Institute for the Study of Natural & Artificial Intelligence at Harvard University. Join us in accelerating science. The Insights, Analytics & Open Research Team (IAOR) is a quant-first intelligence engine whose insights directly support strategic decisions, resource allocation, and amplify the impact and usability of CZI-supported research. Working across all Biohubs and Grand Challenges, the team builds data-driven tools and systems for evaluating CZ Science's progress and impact, conducts ecosystem and behavioral research, and facilitates the implementation of open science practices to increase usability and collaboration. The Opportunity As the Senior Staff Data Scientist - Lead, you'll shape the Data Science function for IAOR, driving data strategy and implementation to monitor progress, assess scientific impact, and track the competitive landscape of CZI's work in science. Leading a small team, you'll build org-wide analytics systems that inform strategic and tactical decisions. This role blends team leadership with the opportunity for hands-on IC impact and requires a strong leader and do-er. Your Impact You and your team will collaborate with Business Partners, Research Scientists, and cross-functional colleagues to co-create how CZI Science defines progress and impact. You'll translate those definitions into measurable, trackable systems, building dashboards and analytics workflows. Your team will work across IAOR to build cohesive and comprehensive systems of intelligence reporting - including developing the infrastructure for a new ecosystem intelligence suite of internal products. Your team will scrape and wrangle unstructured data, build databases and pipelines, develop dynamic dashboards, and perform advanced analytics to generate insights and accelerate the impact of work across all of CZI Science. What You'll Do Own the overall analytics and data strategy for IAOR aligned with business objectives Guide the design of data pipelines and reporting systems for both progress (KPIs) and impact, and the ecosystem intelligence product suite, building new where required and leveraging measurements and infrastructure from other teams, where appropriate Guide the development of novel metrics that are methodologically robust and substantively meaningful to help CZI Science understand our momentum and impact (e.g. relative citation index, relative utility KPIs) Support your team to design and execute analytical deep dives to uncover insights that drive product and marketing decisions Collaborate with IAOR colleagues and cross-functional stakeholders to ensure the outputs of your team meet business needs Hire, manage, and develop more junior data scientists on the IAOR Team Discover and define new data and analytics opportunities aligned with IAOR's core goals, and manage the delivery of those data products What You'll Bring 12+ years of combined experience in complex measurement & analytics, data engineering, and/or business data science in any field (tech / product experience preferred, but not required), including 3+ years experience in people management Demonstrated ability to build data foundations, infrastructure, and systems of reporting used in strategic and tactical decisionmaking from the ground up Strong SQL and Python skills A collaborative mindset and experience working cross-functionally (e.g. with AI, product and engineering teams) Strong foundation in statistics and causal inference Experience hiring and retaining excellent people Excellent written and verbal communication skills. Enthusiasm to ramp up on technologies and learn new domains. Compensation The Redwood City, CA base pay range for a new hire in this role is $241,000.00 - $331,100.00. 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. Work Mode 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

Fortifi Food Processing Solutions is a global leader in providing innovative equipment, technologies, and services to the protein processing industry. We are building the future of food processing by combining deep industry expertise with advanced digital, automation, and customer engagement capabilities. At Fortifi, our people are our strength - we value innovation, ownership, and collaboration to drive meaningful impact for our customers worldwide. The Opportunity We are seeking a Manager, Data Science & Advanced Analytics to serve as the foundational leader of Fortifi's data science function. This highly visible role blends hands-on technical expertise with proven leadership skills to deliver high-value analytics projects and incubate new capabilities that transform how Fortifi engages customers, personalizes marketing, and grows profitability. This is a true "player-coach" opportunity: you'll roll up your sleeves to design pipelines, build models, and deliver insights, while also mentoring new hires and coordinating external contractors as the function scales. You will be the cornerstone in Fortifi's broader strategy to strengthen pricing excellence and lay the foundation for next-generation digital marketing and customer engagement capabilities. What You'll Do: Build Capabilities Establish data science standards, best practices, and scalable frameworks across Fortifi. Build and maintain data pipelines, integrating disparate systems to support analytics across pricing, commercial, finance, and marketing. Architect and manage robust data structures that enable scalable, repeatable insights. Deliver Results Develop and deploy models in areas such as: Pricing optimization and elasticity modeling. Installed base & entitlement intelligence. Customer segmentation, personalization, and digital marketing. Forecasting, recommendation engines, and other advanced commercial use cases. Translate business needs into data science solutions with measurable impact. Manage external contractors/vendors to accelerate and scale delivery. Lead & Grow a Team Serve as the first-line manager of Fortifi's growing data science function. Hire, mentor, and develop the first wave of team members. Provide coaching, career guidance, and opportunities for growth. Foster a culture of innovation, ownership, and data-driven collaboration. Partner Across the Business Collaborate with Pricing, Commercial, Finance, Marketing, and Technology teams to prioritize initiatives. Partner with senior leaders to incubate new capabilities enabled by data science. Communicate technical results to executives in clear, impactful ways. What We're Looking For Bachelor's degree required; a Masters degree is preferred. 5-10 years of professional experience in data science, advanced analytics, or applied machine learning. Strong technical skills in Python, SQL, and ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Solid grounding in data engineering fundamentals: pipelines, integration, and architecture. Hands-on experience deploying and maintaining models in production environments. Proven leadership or team management experience with ability to mentor and develop talent. Experience managing external contractors or vendors. Strong business acumen, ideally within manufacturing, industrial, or B2B contexts. Excellent communication skills - able to translate technical work into executive-ready insights. Experience with customer analytics, personalization, or marketing data platforms a strong plus. Why Join Fortifi? Be the foundational leader shaping a new function at a global industrial innovator. Work on high-impact projects that directly influence pricing, profitability, and customer engagement. Join a collaborative culture that values ownership, innovation, and growth. Build a career in a company committed to transforming the future of food processing.

The Team CZI 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 state-of-the-art imaging systems to observe living cells in action Instrumenting tissues to better understand inflammation, a key driver of many diseases Engineering and harnessing the immune system for early detection, prevention, and treatment of disease CZI's work in science includes grantmaking programs, open-source software development, and close collaboration with the Chan Zuckerberg Biohub Network. The CZ Biohub Network includes the San Francisco, Chicago, and New York Biohubs as well as the Chan Zuckerberg Imaging Institute. CZI also collaborates with institutional partners like the Kempner Institute for the Study of Natural & Artificial Intelligence at Harvard University. Join us in accelerating science. As a Senior Data Scientist, you'll lead the creation of groundbreaking datasets that power our AI/ML efforts within and across our scientific grand challenges. Working at the intersection of data science, biology, and AI, your work will focus on creating large, AI-ready datasets, spanning single-cell sequencing, immune receptor profiling, and mass spectrometry peptidomics data. You will define data needs, format standards, analysis approaches and quality metrics and build pipelines to ingest, transform, and validate data products that form the foundation of our experiments. Our Data Ecosystem: These efforts will form a part of, and interoperate with CZI's larger data ecosystem. We are generating unprecedented scientific datasets that drive biological 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 10s PBs-scale static and dynamic imaging datasets 100s TBs-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. When analysis of a dataset is complete, you will help publish it through public resources like CELLxGENE Discover, the CryoET Portal, and the Virtual Cell Platform, used by tens of thousands of scientists monthly to advance understanding of genetic variants, disease risk, drug toxicities, and therapeutic discovery. Your Impact You'll collaborate with cross-functional teams to lead dataset definition, ingestion, transformation, and delivery for AI modeling and experimental analysis. Success 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 Contribute the tools required for a robust data ecosystem: build single cell data ingestion pipelines, select data formats, standards, and database schemas, and write validation tools, QC approaches, and analysis pipelines. Collaborate with Platform Scientists, ML engineers, AI Researchers, and Data Engineers to iteratively evaluate, refine and grow datasets to improve our biological understanding of inflammation. Work closely with Platform Scientists to identify technical variables and devise approaches to harmonize data across generation sites to enable joint analysis. Discover and define new data generation opportunities, and manage the delivery of those data products to our scientific teams. What You'll Bring 10+ years of experience with large scale high throughput biological data (single cell sequencing, immune receptor profiling, mass spectrometry). Demonstrated ability to deliver 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 (scientific platforms, engineering, product, AI Research). Compensation The Redwood City, CA base pay range for this role is $190,000 - $261,800. 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. Work Mode 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

TransUnion's Job Applicant Privacy Notice Personal Information We Collect Your Privacy Choices What We'll Bring: At TransUnion, we have a welcoming and energetic environment that encourages collaboration and innovation we're consistently exploring new technologies and tools to be agile. This environment gives our people the opportunity to hone current skills and build new capabilities, while discovering their genius. Come be a part of our team - you'll work with great people, pioneering products and cutting-edge technology. What You'll Bring: 10+ years of professional experience performing applied data science or analytic consulting work in Financial Services, consumer credit, or a related industry 5+ years in team management and leadership roles with increasing complexity and responsibility Master's or PhD degree in statistics, data science, business analytics, applied mathematics, financial mathematics, engineering, operations research, computer science or another highly quantitative field. A track record of academic excellence Deep, hands-on expertise applying machine learning, statistical inference, and predictive modeling methods in a commercial setting Proficiency in one or more analytic languages (R, Python) Proven ability to architect and engineer machine-learning pipelines with online / real-time features Current knowledge of and strong interest in consumer credit trends and dynamics. Ability to speak authoritatively with customers on relevant topics Ability to collaborate with customers to frame and define ill-structured problems and design effective solution approaches An excellent oral and written communicator with highly technical and non-technical TU leaders, partners, and customers. A proven ability to establish rapport, persuade others, ask insightful questions, and promote understanding across all levels of the organization. Substantial prior experience making formal presentations to large and senior-level groups, as well as in smaller and less formal settings Availability to travel up to 25%. We'd Love to See: Consultative approach to decision-making, ability to gather and synthesize multiple perspectives Aptitude and passion for design of highly effective processes Proficiency in one or more general-purpose programming languages (C/C++, Java), follows software engineering best practices to generate performant and implementable code Experience manipulating large datasets in SQL Experience with big data frameworks (Spark, Redshift, BigQuery, Hadoop, Ab Initio) Experience with cloud computing (AWS, GCP) Experience serving highly regulated industries Familiarity with credit bureau data and business practices Impact You'll Make: The DSA Argus leader drives core components of TransUnion Argus strategy as part of the DSA Financial Services Consulting department. This leader will manage a full capability stack, and in close collaboration with matrix partners across multiple business units they will: Lead the development of models and solutions using machine learning, statistical analysis, mathematical modeling, and artificial intelligence techniques to predict and measure outcomes and consequences. Establish and enforce best practices in the design and development practices for the aforementioned models, including rigorous management of a robust, scalable codebase, collaboratively with other DSA leaders. Proactively participate in the development of operating policies and procedures of significant scope and complexity to promote operational excellence across Data Science & Analytics. Advocate for productivity-enhancing operating procedures and technologies. Cultivate and maintain strategic partnerships and customer relationships, including via actionable, data science consulting that spans the lifecycle from issue discovery through solution development, deployment, and governance. Support Sales and Argus Advisory Services in demonstrating efficacy and value, arming client-facing associates with tools to help drive adoption and revenue Work with the Solutions organization to propose, prioritize, design, develop and take to market new products, including generic scores, derived from Argus consortium data. Curate a robust repository of internally and externally sourced analytic data assets, constructing pipelines, preserving data quality, implementing appropriate privacy and compliance controls, maximizing utility for a broad and growing set of use cases, maintaining a complete data dictionary, and publishing relevant insights. Lead the design, management and automated production of custom insights for Argus consortium members. Maintain current knowledge of relevant machine learning research, open-source tools, commercial software, and competitors' offerings. Maintain knowledge and ensure compliance with regulatory and contractual requirements pursuant to minimizing legal risks in the management of Argus consortium data. Contribute novel methods and research findings to TransUnion's growing intellectual property (IP) portfolio, potentially including patents. Assemble, maintain, and lead a geographically dispersed, high-performing team with specialized domain and technical expertise in accordance with DSA global standards. Eliminate constraints to cross-team collaboration and integration. Promote the cross-team propagation of successful ideas and approaches. Evangelize the team's unique capabilities, regularly developing and delivering thought leadership content in conjunction with broader DSA capability marketing efforts, in collaboration with matrix partners in Marketing and Solutions Marketing. Advise sponsors and stakeholders on the capabilities and potential value of proposed vendors, partners, and acquisition targets, including commercial and open-source software tools and frameworks. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, Fair Chance Initiative for Hiring Ordinance, and the California Fair Chance Act. Adherence to Company policies, sound judgment and trustworthiness, working safely, communicating respectfully, and safeguarding business operations, confidential and proprietary information, and the Company's reputation are also essential expectations of this position. This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week. Benefits: TransUnion provides flexible benefits including flexible time off for exempt associates, paid time off for non-exempt associates, up to 12 paid holidays per year, health benefits (including medical, dental, and vision plan options and health spending accounts), mental health support, disability benefits, up to 12 weeks of paid parental leave, adoption assistance, fertility planning coverage, legal benefits, long-term care insurance, commuter benefits, tuition reimbursement, charity gift matching, employee stock purchase plan, 401(k) retirement savings with employer match, and access to TransUnion's Employee Resource Groups. Spousal, domestic partner, and other eligible dependent coverage is available on select health and welfare plans. We are committed to being a place where diversity is not only present, it is embraced. As an equal opportunity employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, veteran status, genetic information, marital status, citizenship status, sexual orientation, gender identity or any other characteristic protected by law. Additionally, in accordance with Section 503 of the Rehabilitation Act of 1973 and the Vietnam Era Veterans' Readjustment Assistance Act of 1974, TransUnion takes affirmative action to employ and advance in employment qualified individuals with a disability and protected veterans in all levels of employment and develops annual affirmative action plans. Components of TransUnion's Affirmative Action Program for individuals with disabilities and protected veterans are available for review to any associate or applicant for employment upon request by contacting ERCoE@transunion.com. Pay Scale Information : The U.S. base salary range for this position is $166,800.00 - $250,000.00 annually. *The salary range for this position reflects a reasonable estimate of the range of compensation for this job. At TransUnion, actual compensation is based on careful consideration of additional factors such as (but not limited to) an individual's education, training, work experience, job-related skill set, location, and industry knowledge, as well as the scope and responsibilities of the position and market considerations. Regular, fulltime non-sales positions may be eligible to participate in TransUnion's annual bonus plan. Certain positions may be also eligible for long-term incentives and other payments based on applicable company guidance and plan documents. TransUnion's Internal Job Title: Sr Director, Data Science and Analytics Company: TransUnion LLC

Job Title: AI and Data Science Technical Analyst-Manager Location: Cambridge, MA About the Job About Sanofi: Sanofi is a global leader in healthcare, dedicated to improving lives through scientific innovation. Our mission is to chase the miracles of science to improve people's lives. We are expanding across borders and transforming healthcare for all. People are the most critical ingredient to our success. About E.D.G.E.: Sanofi's E.D.G.E. Team (Emerging Disruptive Growth Exploration) conducts cutting-edge research in healthcare and incubates data-driven solutions to improve health outcomes, support families, enhance clinicians' experiences, and reduce healthcare costs. We are actively incubating multiple concepts to improve lives globally, especially for underserved populations. We are seeking an experienced AI & Data Science Technical Analyst/Manager to lead technical product management functions in a cross-functional pod of Computational Scientists, Data Scientists, and AI/ML Engineers. This role is pivotal in guiding the development of data and AI products that will revolutionize our data product pipelines. You will be responsible for defining the product vision, strategy, and roadmap for our AI-driven solutions, translating complex scientific and business challenges into actionable product plans. You will orchestrate the work of a team that uses clinical and real-world data to create innovative data products and projects. Your leadership will ensure that our versatile teams deliver innovative, production-ready models and solutions that provide a competitive advantage for Sanofi. We are an innovative global healthcare company with a focus on immunology that extends to innovation in diabetes and transplant medicine. Across different countries, our talented teams are determined to deliver a best-in-class customer experience using the best of digital, artificial intelligence and personal know-how. With a focus on immunology that extends to innovation in diabetes and transplant medicines, we pursue progress to make a real impact on millions of patients around the world. Main Responsibilities: Product Vision and Strategy: Assist in the definition and communicate a clear product vision and strategic roadmap for AI and data science initiatives, aligning with the broader goals of EDGE, Digital, R&D and business stakeholders. Roadmap and Execution: Manage the entire product lifecycle, from ideation and scoping to delivery and iteration. Break down complex problems into effective, actionable steps for the technical team. Cross-Functional Leadership: Lead and collaborate with a team of data scientists, computational scientists, engineers, and MLOps professionals to develop, test, and deploy AI/ML solutions into product teams. Stakeholder Management: Serve as the primary point of contact between the technical team and non-technical stakeholders, including researchers, clinicians, and business unit leaders. Translate and champion the team's advanced analytics capabilities and results to a broader audience. Requirement Definition: Work with stakeholders to identify areas for data-driven improvement, gathering requirements and translating them into technical specifications and user stories for the development team. Process Management: Implement and oversee agile methodologies to manage workflow and ensure the timely delivery of high-quality data products, from preparing common data models to deploying production-ready models. Data and Technology Oversight: Guide the team in leveraging diverse and large-scale biomedical datasets, including electronic health records (EHRs), clinical trial data, and real-world evidence. Ensure the adoption of a leading-edge tech stack and foster an environment of continuous learning and improvement. About You Key Requirements & Qualifications: Educational Background: A degree in a quantitative or technical field such as Computer Science, Engineering, Statistics, or significant experiences in technical/digital industries, preferably with advanced degrees. 8 years of Product Management Experience: Proven experience in a technical product management role, preferably in an agile environment, with a track record of launching production-level code and data-driven products. Technical Fluency: Strong understanding of the data science and machine learning landscape. You should be familiar with concepts such as supervised/unsupervised learning, deep learning, NLP, and MLOps. While you won't be coding daily, you must be comfortable discussing technical approaches and challenges with engineers and scientists. Domain Knowledge: Experience with healthcare data sources, such as electronic health records (EHRs), clinical trial data, or other biomedical datasets is highly preferred. Leadership and Communication: Demonstrated ability to lead cross-functional teams and collaborate effectively. You possess excellent written and verbal communication skills, with a talent for data storytelling and translating complex technical concepts for non-technical audiences. Problem-Solving Skills: A passion for solving complex problems with a desire to make a tangible impact on patient outcomes. Preferred Skills: Familiarity with data science languages and tools such as Python, R, JIRA, Confluence. Knowledge of big data analytics platforms and ML libraries (e.g., Databricks, SageMaker, TensorFlow, PyTorch). Experience with data visualization tools like Tableau, Plotly, or Streamlit. Experience in the software/digital development and pharmaceutical industries and a solid understanding of the clinical research process. Why Choose Us? Bring the miracles of science to life alongside a supportive, future-focused team. Discover endless opportunities to grow your talent and drive your career, whether it's through a promotion or lateral move, at home or internationally. Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact. Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks' gender-neutral parental leave. Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law. #GD-SG #LI-GZ #LI-Onsite #vhd Pursue progress, discover extraordinary Better is out there. Better medications, better outcomes, better science. But progress doesn't happen without people - people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let's be those people. At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity. Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com! US and Puerto Rico Residents Only Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally inclusive and diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; natural or protective hairstyles; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law. North America Applicants Only The salary range for this position is: $125,250.00 - $180,916.66 All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs. Additional benefits information can be found through the LINK.

Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges-and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day-working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities for career growth, and a culture of innovation that embraces adaptability, collaboration, technical excellence, and people in partnership. If this sounds like the choice you want to make, then choose MITRE - and make a difference with us. NOTE: Thank you for your interest in MITRE's internship opportunities. Please be aware that this is not an application for a specific position. By submitting your information and providing your resume, you will be included in a pool of candidates for various internship roles across the company. If you are selected for consideration for a particular internship, a member of MITRE's Student Programs team will reach out to you. The primary hiring season for MITRE internships runs from September through March. You can monitor your application status here: Workday (myworkdayjobs.com). Job Responsibilities As an intern working in data science, operations research, math or statistics, you will work alongside a team of experts to apply your knowledge and gain hands-on experience in one or more of the following areas: Data analysis and visualization Augmented decision-making and trusted analytics Applied mathematics, statistics, and optimization Simulation and computational analytics Systems modeling and analysis Operational effectiveness and efficiency Knowledge discovery Next-generation data environments Basic Qualifications Must be a full-time student pursuing an accredited degree program in Data Science, Math, Statistics, Operations Research or related disciplines. Must continue to be enrolled the semester following the internship. Foundational knowledge of data science, math, statistics or operations research methodologies, frameworks, tools and/or programming languages. Must have sustained excellence in academic performance. Preferred Qualifications Experience applying data science, math, statistics or operations research concepts in an internship, research, or lab setting. Proficiency using data science, math, statistics or operations research methodologies, frameworks, tools and/or programming languages. Demonstrated interest in serving the public through previous work experience, volunteer activities, or other relevant engagements. Clearance: In addition to passing MITRE's employment background check, you may be submitted for a U.S. Government Security clearance. This is determined by the Department of Defense's adjudicative guidelines for receiving a clearance, to include U.S. citizenship. Other jobs may require vetting for various levels of agency public trust, fitness, suitability, controlled access, and special programs access determination consistent with the work program to which you are assigned. This requisition requires the candidate to have a minimum of the following clearance(s): This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s): Salary compensation range and midpoint: $45,500 - $57,000 - $68,500 Annual Work Location Type: Hybrid It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local or international law. MITRE intends to maintain a website that is fully accessible to all individuals. If you are unable to search or apply for jobs and would like to request a reasonable accommodation for any part of MITRE's employment process, please email recruitinghelp@mitre.org for general support and collegerecruiting@mitre.org for intern positions. This service is for individuals requiring reasonable accommodation requests. Please note that vendor solicitations will not receive a reply. Benefits information may be found here. Copyright 1997-2025, The MITRE Corporation. All rights reserved. MITRE is a registered trademark of The MITRE Corporation. Material on this site may be copied and distributed with permission only.

As an Associate Analyst on the Marketing Sciences team, your curiosity never ends. You wonder about the application of data to digital experience, and you are eager to contribute to marketing science deliverables across a broad range of initiatives (e.g., website analytics, data visualization, data integration, data engineering, and data management). You are able to define and apply a logical approach to data management and analysis, moving data from point A to point B in the right shape at the right time, and enjoy collaborating and learning with others. You will: Automate manual processes using SQL, python, etc.

At Virtua Health, we exist for one reason - to better serve you. That means being here for you in all the moments that matter, striving each day to connect you to the care you need. Whether that's wellness and prevention, experienced specialists, life-changing care, or something in-between - we are your partner in health devoted to building a healthier community. If you live or work in South Jersey, exceptional care is all around. Our medical and surgical experts are among the best in the country. We assembled more than 14,000 colleagues, including over 2,850 skilled and compassionate doctors, physician assistants, and nurse practitioners equipped with the latest technologies, treatments, and techniques to provide exceptional care close to home. A Magnet-recognized health system ranked by U.S. News and World Report, we've received multiple awards for quality, safety, and outstanding work environment. In addition to five hospitals, seven emergency departments, seven urgent care centers, and more than 280 other locations, we're committed to the well-being of the community. That means bringing life-changing resources and health services directly into our communities through our Eat Well food access program, telehealth, home health, rehabilitation, mobile screenings, paramedic programs, and convenient online scheduling. We're also affiliated with Penn Medicine for cancer and neurosciences, and the Children's Hospital of Philadelphia for pediatrics. Location: Lippincott - 303 Lippincott Drive Remote Type: Hybrid Employment Type: Employee Employment Classification: Regular Time Type: Full time Work Shift: 1st Shift (United States of America) Total Weekly Hours: 40 Additional Locations: Job Information: Job Summary: As a Data Science Manager, you will help shape the future of the experiences of our patients and customers who rely on Virtua for their healthcare needs. You will apply your people leadership, project management, analytical and technical skills, and creativity to solve business problems will guide Data Science teams using data and insights. You will focus on developing hypotheses and employ a diverse toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them. You won't simply present data but tell data-driven stories. You will convince and influence leaders using clear insights and recommendations. You will assist in implementing an IT strategic plan and reach depart goals. Position Responsibilities: Lead a team of data scientists to develop cloud architecture for data science. Building data science pipeline, MLOPS, and engaging end-users throughout the journey of building solutions. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches. Contribute towards advancing the Data Science discipline at Virtua, including but not limited to driving data best practices (e.g. analysis, goaling, experimentation), improving analytical processes, scaling knowledge and tools, and mentoring other data scientists. Accelerate research projects at Virtua. Working with Physicians, researchers, and medical students to formulate new hypotheses, conduct data analysis, and publish academic research papers. Execute an automation strategy for Virtua. Identify business processes that can improve using automation tools and technics. Build buy-in with stakeholders to operationalize automation solutions. Supports projects by collaborating with IS Management, Project Managers & Leads for resource planning, matching staff skills set with project requirements; manages staff task conflict and difficult personnel issues; reviews project status, staff project task completion and provide input to update; address project staff/team issues as appropriate; enforce policies/procedures for staff's adherence to the use of team templates and project documentation; supports transition to support. Adheres to IS Business Practices and is available for 24/7 support as needed. Position Qualifications Required: Required Experience: A minimum of 4 years of work experience (2+ years with a Ph.D.) in advanced analytics. Required Education: Master's or Ph.D. in Mathematics, Statistics, Computer Science, Engineering, Data Science, Mathematics, Engineering, Business and Analytics. Training / Certification / Licensure: Python, Azure data science, LLM's. Annual Salary: $120,981 - $199,417The actual salary/rate will vary based on applicant's experience as well as internal equity and alignment with market data. Virtua offers a comprehensive package of benefits for full-time and part-time colleagues, including, but not limited to: medical/prescription, dental and vision insurance; health and dependent care flexible spending accounts; 403(b) (401(k) subject to collective bargaining agreement); paid time off, paid sick leave as provided under state and local paid sick leave laws, short-term disability and optional long-term disability, colleague and dependent life insurance and supplemental life and AD&D insurance; tuition assistance, and an employee assistance program that includes free counseling sessions. Eligibility for benefits is governed by the applicable plan documents and policies. For more benefits information click here.

Lead AI Innovation Lead - Data Science Lab Overview Guardian is on a transformation journey to evolve into a modern, forward-thinking insurance company committed to enhancing the wellbeing of its customers and their families. As part of the Data & AI team, this role presents a distinctive opportunity to collaborate with the CDAO and the Head of Data Science, actively contributing to Guardian's ongoing evolution. Guardian's Data & AI team spearheads a culture of data insights across Guardian, facilitating the successful realization of our strategic initiatives. Our core activities encompass creating business value from our data and analytic products. Key responsibilities include data lifecycle management, insight development, and data product delivery. We are a team of data analysts, data product owners, data scientists and most importantly, data business leaders. Our solutions and actions are critical to Guardian's revenue growth, risk management and customer experience. Guardian created a Data Science Lab (DSL) to reimagine insurance in light of emerging technology, societal shifts, and evolving consumer needs. The DSL will expedite Guardian's transition to data-driven decision making and insight generation, fostering long-term innovation. The DSL will establish rapid testing capabilities for new technology and the translation of pioneering research into practical, enterprise-wide solutions. In this role as Managing Lead Data Scientist for the DSL, you'll be entrusted with the crucial task of managing the DSL and devising AI strategy for the Data Science team. Your responsibilities will include identifying new AI capabilities, coming up with solutions to scale the Data Science team, leveraging machine learning and artificial intelligence, to drive enterprise-wide innovation across various business lines and Guardian products. You'll collaborate with senior executives on high-impact high-visibility projects to deliver AI/ML solutions that will be market-tested and deployed to make a real difference to risk management and Guardian's overall financial performance. Successful candidates bring expertise in insurance and financial services, a passion for applying cutting-edge ML and AI insights, and the ability to design and implement data science capabilities that foster growth, competitive advantage, and customer satisfaction. Key Responsibilities Include: Leadership & Strategy Lead the Data Science Lab (DSL) by setting strategic direction, driving innovation, and ensuring alignment with Guardian Life's business goals and digital transformation initiatives. Manage and mentor a high-performing team of data scientists, fostering a culture of continuous learning, experimentation, and excellence. Monitor developments across the AI and data science community to position Guardian as a leader in responsible and effective AI adoption. Report and communicate progress, opportunities, and risks to executive stakeholders, delivering insights and recommendations in a clear, actionable manner. Innovation & Research Stay current with advancements in machine learning (ML), artificial intelligence (AI), and industry trends to identify and evaluate emerging capabilities and technologies. Collaborate with academic and industry partners to develop and test novel AI/ML methods and approaches. Introduce and apply ML/AI innovations to practical, high-impact opportunities across Guardian's business units. Create patentable technologies and methodologies that drive long-term innovation. AI/ML Development Build and lead experimentation efforts to validate the feasibility and impact of new data science techniques in real-world insurance use cases. Develop capabilities in Deep Learning, Large Language Models (LLMs), and Generative AI. Apply AI/ML to unstructured data sources such as insurance contracts, medical records, sales notes, and customer service logs. Deliver solutions that enhance underwriting risk assessment, claims auto-adjudication, and customer servicing. Operational Excellence Establish scalable processes, frameworks, and governance models for efficient and responsible AI/ML development, testing, and deployment. Assess and recommend cutting-edge tools, platforms, and technologies to enhance data science workflows and model lifecycle management. Actively participate in proof-of-concept evaluations of new data, software, and technologies. Collaboration & Integration Collaborate cross-functionally with business leaders, technology teams, and data professionals to translate business challenges into AI-driven solutions. Contribute to the standardization of data science tools, processes, and best practices across the enterprise. Function as the data science expert in internal and external meetings, including vendor engagements and industry conferences You are: You are passionate about cutting-edge technology and keen on applying new AI/ML algorithms and approaches. You are analytically driven, intellectually curious, and experienced leading the development and implementation of data and analytic solutions to solve challenging business problems. You enjoy leading and managing a team of data scientist to crack hard to solve problems with AI/ML and seeing it deployed in-market and generating value for Guardian. You enjoy collaborating with a multi-disciplinary team including data engineers, business analysts, software developers and functional business experts and business leaders. You have demonstrated track record of managing data science teams and working with business leaders. You have: PhD with 6+ years of experience, Master's degree with 8+ years of experience, or Bachelor's degree with 10+ years of experience in Computer Science, Engineering, Applied mathematics or related field 7+ years of hands-on ML modeling/development experience Extensive experience in deep learning models including Large Language Models (LLM) and Natural Language Processing (NLP) Hands-on experience with GPU, distributed computing and applying parallelism to ML solutions Strong programming skills in Python including PyTorch and/or Tensorflow Solid background in algorithms and a range of ML models Experience leading team of Data Scientist of four or more Excellent communication skills and ability to work and collaborating cross-functionally with Product, Engineering, and other disciplines at both the leadership and hands-on level Excellent analytical and problem-solving abilities with superb attention to detail Proven leadership in providing technical leadership and mentoring to data scientists and strong management skills with ability to monitor/track performance for enterprise success Location: Three days a week at a Guardian office in New York, NY, Holmdel, NJ, Boston, MA, Stamford, CT, Pittsfield, MA or Bethlehem, PA Remote Candidates who can travel up to 20% of the time to our New York office will be considered. Salary Range: $148,940.00 - $244,685.00 The salary range reflected above is a good faith estimate of base pay for the primary location of the position. The salary for this position ultimately will be determined based on the education, experience, knowledge, and abilities of the successful candidate. In addition to salary, this role may also be eligible for annual, sales, or other incentive compensation. Our Promise At Guardian, you'll have the support and flexibility to achieve your professional and personal goals. Through skill-building, leadership development and philanthropic opportunities, we provide opportunities to build communities and grow your career, surrounded by diverse colleagues with high ethical standards. Inspire Well-Being As part of Guardian's Purpose - to inspire well-being - we are committed to offering contemporary, supportive, flexible, and inclusive benefits and resources to our colleagues. Explore our company benefits at www.guardianlife.com/careers/corporate/benefits. Benefits apply to full-time eligible employees. Interns are not eligible for most Company benefits. Equal Employment Opportunity Guardian is an equal opportunity employer. All qualified applicants will be considered for employment without regard to age, race, color, creed, religion, sex, affectional or sexual orientation, national origin, ancestry, marital status, disability, military or veteran status, or any other classification protected by applicable law. Accommodations Guardian is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Guardian also provides reasonable accommodations to qualified job applicants (and employees) to accommodate the individual's known limitations related to pregnancy, childbirth, or related medical conditions, unless doing so would create an undue hardship. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact applicant_accommodation@glic.com. Current Guardian Colleagues: Please apply through the internal Jobs Hub in Workday.

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: People Leader All Job Posting Locations: Cambridge, Massachusetts, United States of America, La Jolla, California, United States of America, Raritan, New Jersey, 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 Senior Director, R&D Data Science & Digital Health, Real-World Evidence (RWE), Across Therapeutic Areas The primary location for this position is flexible- Flexible- Titusville, NJ; Raritan, NJ; Spring House, PA; Cambridge, MA; or San Diego, CA J&J Innovative Medicine develops treatments that improve the health of people worldwide. Research and development areas encompass oncology, immunology, neuroscience, cardiopulmonary and specialty ophthalmology. Our goal is to help people live longer, healthier lives. We have produced and marketed many first-in-class prescription medications and are poised to serve the broad needs of the healthcare market - from patients to practitioners and from clinics to hospitals. To learn more about Johnson & Johnson Innovative Medicine visit https://innovativemedicine.jnj.com/ The R&D Data Science & Digital Health, Real-World Evidence (RWE) team at J&J Innovative Medicine is dedicated to developing innovative evidence solutions and critical insights through diverse data sources, including RWD, trial data and emerging innovative data sources, to support clinical programs and regulatory decision-making. We are seeking a visionary Senior Director to lead Real-World Evidence (RWE) strategy and execution across therapeutic areas (xTA). This role will be pivotal in shaping the future of RWE at the organization - driving internal/external collaborations, advancing regulatory-grade evidence generation, and elevating our scientific leadership both internally and externally. The successful candidate will partner closely with senior leaders across R&D and commercial to build an integrated, agile, and forward-thinking RWE ecosystem. This includes leading strategic initiatives, influencing regulatory policy, and representing organization as a thought leader in the global RWE community. Key Responsibilities Strategic Leadership & Ecosystem Building Define and execute the RWE initiatives across therapeutic areas, ensuring alignment with long-term organizational goals. Lead cross-functional RWE committees and foster high-impact partnerships with internal and external stakeholders. Shape and elevate the enterprise-wide RWE ecosystem through innovation, governance, and capability building. Regulatory Policy & Scientific Influence Serve as a strategic advisor on regulatory-grade evidence generation and policy shaping. Lead preparation and presentation of scientific data packages for regulatory submissions and agency interactions. Represent J&J in external forums to influence RWE standards and regulatory expectations. Scientific Leadership & Methodological Excellence Chair the Methodology Review Board (MRB) and oversee a portfolio of high-impact RWE projects. Establish best practices for novel study designs and implementation. Promote continuous learning and innovation in emerging RWE methodologies and technologies. Develop frameworks and tools to scale evidence generation and accelerate delivery. Champion a culture of scientific rigor, collaboration, and execution excellence. Required qualifications: Ph.D. or Master's in epidemiology, biostatistics, outcomes research, health policy, or related field. 10+ years of relevant experience in biopharma, RWE consulting, or healthcare industries. 7+ years of experience as a people manager. Proven expertise in data extraction, cleaning, and analysis; strong grasp of advanced statistical methods. Experience with diverse data sources (EHR, claims, registries, trial data, digital health). Strong communication skills, with the ability to effectively engage both technical and non-technical stakeholders. Proven leadership and influencing capabilities, with a track record of inspiring teams and driving cross-functional alignment. Highly motivated and intellectually curious, with strong executional rigor and a passion for solving complex challenges. Proficiency in R, Python, or SQL. Preferred qualifications: Expertise in regulatory-grade evidence generation and regulatory engagement. Strong leadership in cross-functional initiatives and ability to influence without authority. Subject matter expertise in key therapeutic areas including Oncology, Immunology, Neuroscience. Experience in matrixed organizations and global stakeholder engagement. Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center (ra-employeehealthsup@its.jnj.com) or contact AskGS to be directed to your accommodation resource. The anticipated base pay range for this position is $173,000 to $299,000 Additional Description for Pay Transparency Employees and/or eligible dependents may be 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. Employees may be 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. Employees are eligible for the following time off benefits: - Vacation - up to 120 hours per calendar year- Sick time - up to 40 hours per calendar year; for employees who reside in the State of Washington - up to 56 hours per calendar year- Holiday pay, including Floating Holidays - up to 13 days per calendar year- Work, Personal and Family Time - up to 40 hours per calendar year #JRDDS #JNJDataScience #JNJIMRND-DS The anticipated base pay range for this position is : Additional Description for Pay Transparency:

Lead AI Innovation Lead - Data Science Lab Overview Guardian is on a transformation journey to evolve into a modern, forward-thinking insurance company committed to enhancing the wellbeing of its customers and their families. As part of the Data & AI team, this role presents a distinctive opportunity to collaborate with the CDAO and the Head of Data Science, actively contributing to Guardian's ongoing evolution. Guardian's Data & AI team spearheads a culture of data insights across Guardian, facilitating the successful realization of our strategic initiatives. Our core activities encompass creating business value from our data and analytic products. Key responsibilities include data lifecycle management, insight development, and data product delivery. We are a team of data analysts, data product owners, data scientists and most importantly, data business leaders. Our solutions and actions are critical to Guardian's revenue growth, risk management and customer experience. Guardian created a Data Science Lab (DSL) to reimagine insurance in light of emerging technology, societal shifts, and evolving consumer needs. The DSL will expedite Guardian's transition to data-driven decision making and insight generation, fostering long-term innovation. The DSL will establish rapid testing capabilities for new technology and the translation of pioneering research into practical, enterprise-wide solutions. In this role as Managing Lead Data Scientist for the DSL, you'll be entrusted with the crucial task of managing the DSL and devising AI strategy for the Data Science team. Your responsibilities will include identifying new AI capabilities, coming up with solutions to scale the Data Science team, leveraging machine learning and artificial intelligence, to drive enterprise-wide innovation across various business lines and Guardian products. You'll collaborate with senior executives on high-impact high-visibility projects to deliver AI/ML solutions that will be market-tested and deployed to make a real difference to risk management and Guardian's overall financial performance. Successful candidates bring expertise in insurance and financial services, a passion for applying cutting-edge ML and AI insights, and the ability to design and implement data science capabilities that foster growth, competitive advantage, and customer satisfaction. Key Responsibilities Include: Leadership & Strategy Lead the Data Science Lab (DSL) by setting strategic direction, driving innovation, and ensuring alignment with Guardian Life's business goals and digital transformation initiatives. Manage and mentor a high-performing team of data scientists, fostering a culture of continuous learning, experimentation, and excellence. Monitor developments across the AI and data science community to position Guardian as a leader in responsible and effective AI adoption. Report and communicate progress, opportunities, and risks to executive stakeholders, delivering insights and recommendations in a clear, actionable manner. Innovation & Research Stay current with advancements in machine learning (ML), artificial intelligence (AI), and industry trends to identify and evaluate emerging capabilities and technologies. Collaborate with academic and industry partners to develop and test novel AI/ML methods and approaches. Introduce and apply ML/AI innovations to practical, high-impact opportunities across Guardian's business units. Create patentable technologies and methodologies that drive long-term innovation. AI/ML Development Build and lead experimentation efforts to validate the feasibility and impact of new data science techniques in real-world insurance use cases. Develop capabilities in Deep Learning, Large Language Models (LLMs), and Generative AI. Apply AI/ML to unstructured data sources such as insurance contracts, medical records, sales notes, and customer service logs. Deliver solutions that enhance underwriting risk assessment, claims auto-adjudication, and customer servicing. Operational Excellence Establish scalable processes, frameworks, and governance models for efficient and responsible AI/ML development, testing, and deployment. Assess and recommend cutting-edge tools, platforms, and technologies to enhance data science workflows and model lifecycle management. Actively participate in proof-of-concept evaluations of new data, software, and technologies. Collaboration & Integration Collaborate cross-functionally with business leaders, technology teams, and data professionals to translate business challenges into AI-driven solutions. Contribute to the standardization of data science tools, processes, and best practices across the enterprise. Function as the data science expert in internal and external meetings, including vendor engagements and industry conferences You are: You are passionate about cutting-edge technology and keen on applying new AI/ML algorithms and approaches. You are analytically driven, intellectually curious, and experienced leading the development and implementation of data and analytic solutions to solve challenging business problems. You enjoy leading and managing a team of data scientist to crack hard to solve problems with AI/ML and seeing it deployed in-market and generating value for Guardian. You enjoy collaborating with a multi-disciplinary team including data engineers, business analysts, software developers and functional business experts and business leaders. You have demonstrated track record of managing data science teams and working with business leaders. You have: PhD with 6+ years of experience, Master's degree with 8+ years of experience, or Bachelor's degree with 10+ years of experience in Computer Science, Engineering, Applied mathematics or related field 7+ years of hands-on ML modeling/development experience Extensive experience in deep learning models including Large Language Models (LLM) and Natural Language Processing (NLP) Hands-on experience with GPU, distributed computing and applying parallelism to ML solutions Strong programming skills in Python including PyTorch and/or Tensorflow Solid background in algorithms and a range of ML models Experience leading team of Data Scientist of four or more Excellent communication skills and ability to work and collaborating cross-functionally with Product, Engineering, and other disciplines at both the leadership and hands-on level Excellent analytical and problem-solving abilities with superb attention to detail Proven leadership in providing technical leadership and mentoring to data scientists and strong management skills with ability to monitor/track performance for enterprise success Location: Three days a week at a Guardian office in New York, NY, Holmdel, NJ, Boston, MA, Stamford, CT, Pittsfield, MA or Bethlehem, PA Remote Candidates who can travel up to 20% of the time to our New York office will be considered. Salary Range: $148,940.00 - $244,685.00 The salary range reflected above is a good faith estimate of base pay for the primary location of the position. The salary for this position ultimately will be determined based on the education, experience, knowledge, and abilities of the successful candidate. In addition to salary, this role may also be eligible for annual, sales, or other incentive compensation. Our Promise At Guardian, you'll have the support and flexibility to achieve your professional and personal goals. Through skill-building, leadership development and philanthropic opportunities, we provide opportunities to build communities and grow your career, surrounded by diverse colleagues with high ethical standards. Inspire Well-Being As part of Guardian's Purpose - to inspire well-being - we are committed to offering contemporary, supportive, flexible, and inclusive benefits and resources to our colleagues. Explore our company benefits at www.guardianlife.com/careers/corporate/benefits. Benefits apply to full-time eligible employees. Interns are not eligible for most Company benefits. Equal Employment Opportunity Guardian is an equal opportunity employer. All qualified applicants will be considered for employment without regard to age, race, color, creed, religion, sex, affectional or sexual orientation, national origin, ancestry, marital status, disability, military or veteran status, or any other classification protected by applicable law. Accommodations Guardian is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Guardian also provides reasonable accommodations to qualified job applicants (and employees) to accommodate the individual's known limitations related to pregnancy, childbirth, or related medical conditions, unless doing so would create an undue hardship. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact applicant_accommodation@glic.com. Current Guardian Colleagues: Please apply through the internal Jobs Hub in Workday.

Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges-and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day-working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities for career growth, and a culture of innovation that embraces adaptability, collaboration, technical excellence, and people in partnership. If this sounds like the choice you want to make, then choose MITRE - and make a difference with us. NOTE: Thank you for your interest in MITRE's internship opportunities. Please be aware that this is not an application for a specific position. By submitting your information and providing your resume, you will be included in a pool of candidates for various internship roles across the company. If you are selected for consideration for a particular internship, a member of MITRE's Student Programs team will reach out to you. The primary hiring season for MITRE internships runs from September through March. You can monitor your application status here: Workday (myworkdayjobs.com). Job Responsibilities As an intern working in data science, operations research, math or statistics, you will work alongside a team of experts to apply your knowledge and gain hands-on experience in one or more of the following areas: Data analysis and visualization Augmented decision-making and trusted analytics Applied mathematics, statistics, and optimization Simulation and computational analytics Systems modeling and analysis Operational effectiveness and efficiency Knowledge discovery Next-generation data environments Basic Qualifications Must be a full-time student pursuing an accredited degree program in Data Science, Math, Statistics, Operations Research or related disciplines. Must continue to be enrolled the semester following the internship. Foundational knowledge of data science, math, statistics or operations research methodologies, frameworks, tools and/or programming languages. Must have sustained excellence in academic performance. Preferred Qualifications Experience applying data science, math, statistics or operations research concepts in an internship, research, or lab setting. Proficiency using data science, math, statistics or operations research methodologies, frameworks, tools and/or programming languages. Demonstrated interest in serving the public through previous work experience, volunteer activities, or other relevant engagements. Clearance: In addition to passing MITRE's employment background check, you may be submitted for a U.S. Government Security clearance. This is determined by the Department of Defense's adjudicative guidelines for receiving a clearance, to include U.S. citizenship. Other jobs may require vetting for various levels of agency public trust, fitness, suitability, controlled access, and special programs access determination consistent with the work program to which you are assigned. This requisition requires the candidate to have a minimum of the following clearance(s): This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s): Salary compensation range and midpoint: $45,500 - $57,000 - $68,500 Annual Work Location Type: Hybrid It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local or international law. MITRE intends to maintain a website that is fully accessible to all individuals. If you are unable to search or apply for jobs and would like to request a reasonable accommodation for any part of MITRE's employment process, please email recruitinghelp@mitre.org for general support and collegerecruiting@mitre.org for intern positions. This service is for individuals requiring reasonable accommodation requests. Please note that vendor solicitations will not receive a reply. Benefits information may be found here. Copyright 1997-2025, The MITRE Corporation. All rights reserved. MITRE is a registered trademark of The MITRE Corporation. Material on this site may be copied and distributed with permission only.

Job Description Vertex MSAT team is seeking a Senior Principal Data Scientist to join a growing team in support of commercial Cell and Gene Therapy programs. This position will be responsible for leading 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 development of data trending visualizations using Statistica and for process parameters Lead 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. 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 5+ years, MS with 7+ years, or BS with 9+ years of experience. Significant experience with data software packages including Statistica and Spotfire at a minimum. 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 designing automated trend outputs Experience with process characterization and process control strategy preferred. Experience with cGMP regulations/guidance and with regulatory agency inspections preferred. Experience with inline process analytical technologies for assessment of manufacturing performance 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: $164,900 - $247,400 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