Principal Data Scientist RWE & AA

Company: Johnson & Johnson
Location: San Diego
Posted on: January 23, 2025

Job Description:

Job Description - Principal Data Scientist RWE & AA (2406227092W)DescriptionJohnson & Johnson Innovative Medicine, R&D Data Science and Digital Health team is recruiting for a Principal Data Scientist, Real World Evidence & Advanced Analytics (RWE & AA). The primary location for this position is flexible - either; 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.The R&D Data Science Analytics & Insights team within J&J Innovative Medicine develops innovative solutions leveraging a variety of different data sources across multiple disease areas in support of key clinical programs. Successful candidates will develop cutting-edge methodologies to develop RWD-based solutions to enable disease insights, improve patient outcomes, and enhance clinical development. The Principal Data Scientist will work closely with strategic partners within Data Science and Digital Health and multi-disciplinary teams within J&J Innovative Medicine R&D to develop and deploy cutting-edge solutions to our clinical programs.Key Responsibilities:

• Lead and contribute to the development of artificial intelligence/machine learning models in health and healthcare (e.g., disease identification, patient stratification, disease progression, clustering, simulations, forecasting) based on RWD that will provide key insights to our pipeline assets.
• Leverage emerging scientific and technological developments to generate new research ideas, solutions and initiatives using real-world data (electronic health records, clinical development data, insurance claims, registries, others).
• Deliver scalable machine learning solutions and insights to impact functions and therapeutic areas within R&D and participate in cross-functional collaborations with internal scientific and data science teams, and external companies.
• Shape internal and external collaborations and define the scope of research questions.
• Closely partner with the Data Science Therapeutic Area (DSTA) and Therapeutic Area (TA) teams to execute on the priorities, building a roadmap to deliver the projects and present to senior cross-functional leaders.
• Be a hands-on technical leader among the Data Science team, helping institute best practices while crafting a data-driven culture, developing, and mentoring more junior members of the team while advocating for skill development.
• Clearly articulate highly technical methods and results to diverse audiences and partners to drive decision-making.Qualifications:
  • A Ph.D. degree, or master's degree in a quantitative field (e.g., artificial intelligence, computer science, statistics, biostatistics, epidemiology, applied mathematics, operations research, or similar).
  • Relevant experience (2+ years for Ph.D., 4+ years for a master's) within a start-up, technology, or healthcare industry.
  • Extensive experience with one of the following: machine learning, deep learning, statistical modeling, clustering and classification, causal inference methods, simulation, and forecasting.
  • Hands-on technical data analysis and machine learning modeling experience (across roles).
  • Proven project leadership in complicated context, able to influence and engage the strategic and technical partners in a matrix organization.
  • Proven track record of consistently delivering on high impact data science projects.
  • Expert proficiency in Python or R, and SQL.
  • Excellent interpersonal, communication, and presentation skills.Preferred qualifications:
    • Experience delivering on Data Science projects using predictive technologies as machine learning/deep learning, or forecasting.
    • Experience in one of the following domains: EHR, clinical development data, insurance claims, or registry data.
    • Familiarity with and exposure to drug discovery and clinical development processes with one or more of the following therapeutic areas: oncology, immunology, neuroscience, or specialty ophthalmology.
    • Experience working closely with healthcare subject matter experts.
    • Ability to effectively communicate technical work to a wide audience.The anticipated base pay range for this position is $115,000 to $197,800.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)).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.
      • Personal and Family Time - up to 40 hours per calendar year.Thriving on a diverse company culture and celebrating the uniqueness of our employees, we are committed to inclusion. We are proud to be an equal opportunity employer.Johnson & Johnson is an Affirmative Action and 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, or protected veteran status and will not be discriminated against on the basis of disability.Working with Johnson & Johnson can change everything. Including YOU.#JNJDataScience#LI-Hybrid
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Keywords: Johnson & Johnson, El Centro , Principal Data Scientist RWE & AA, Other , San Diego, California