Principal Data Scientist RWE

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.

Job Function: Data Analytics & Computational Sciences

Job Sub Function: Data Science

Job Category: Scientific/Technology

All Job Posting Locations: US026 PA Spring House - 1400 McKean Rd, US063 NJ Raritan - 920 US Hwy 202, US064 CA San Diego - 3210 Merryfield Row, US159 NJ Titusville - 1125 Trenton-Harbourton Rd, US337 MA Cambridge - 301 Binney St

About the Role

We are seeking a Principal Data Scientist to join our R&D Data Science and Digital Health team. The primary location for this position is flexible – either; Titusville, NJ; Raritan, NJ; Spring House, PA; Cambridge, MA; or San Diego, CA.

About Innovative Medicine

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.

We are committed to pioneering the path from lab to life while championing patients every step of the way.

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, working alongside a robust team of data scientists, bringing fresh perspectives and scientific rigor across Data Science projects and therapeutic areas.
• 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.

Equal Employment Opportunity

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.

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.