Associate Director, R&D Data Science & Digital Health – Hematology/Oncology

Johnson & Johnson • San Diego, CA

1d

About The Position

Innovative Medicine at Johnson & Johnson is recruiting for an Associate Director of Oncology Data Science. The primary location for this position is either New Brunswick, NJ or Spring House, PA. Consideration will be given to Boston, MA, Raritan, NJ, Titusville, NJ, La Jolla, CA, or other Innovative Medicine locations. About Innovative Medicine Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine Position Summary The Associate Director – Hematology, Oncology Data Sciences & Digital Health will serve as a strategic business leader for data science and digital health initiatives within a clinical-stage development program in the Hematology-Oncology portfolio, with a focus on CD3 T-cell engaging therapeutics in multiple myeloma. You will partner with Clinical Development Teams (CDTs) to deliver advanced analytics, including statistical modeling and AI/ML, to support clinical development and regulatory objectives across the drug development lifecycle. The successful candidate will foster a culture of data-driven decision making and act as a scientific thought leader for Data Science within R&D Oncology. The role requires a strong foundation in drug development and core Data Science methodologies, including advanced statistical modeling or biostatistics. Creativity and innovative thinking will be essential. You will join a dynamic, accomplished team dedicated to advancing novel medicines within Johnson & Johnson Innovative Medicine – Hematology Oncology R&D.

Requirements

• Advanced degree (PhD, MD, or PharmD/MS) in a field involving high-dimensional data analysis (e.g. computational research, pharmacoepidemiology, statistics, outcomes research or related field in health care area).
• 5+ years of experience in pharmaceutical industry, biotech, or relevant healthcare analytic role.
• Working knowledge of drug development process, such as translational research, clinical trials, or regulatory interactions.
• Fluency in advanced analytic methods, such as statistical modeling, biostatistics, machine learning, and/or other relevant techniques.
• Familiarity with healthcare-related datasets, such as electronic health records (EHR), real-world data (RWD), or genomics, with an understanding of their structure, limitations and applications to clinical research.
• Established leadership skills, including management of individuals and teams working towards common clinical/scientific goals.
• Proven track record of managing timelines and driving key results in a matrixed environment.
• Excellent communication, interpersonal, and written skills.

Nice To Haves

• Experience with regulatory submissions and interactions, including the application of data analysis to support regulatory decision-making.
• Demonstrated success applying emerging and innovative methods to drug development, such as generative AI.
• Track record of effective collaboration on multifunctional teams delivering clinical trials in R&D or Medical Affairs settings.

Responsibilities

• Partner with cross-functional CDTs to design and implement Data Science strategies to support clinical development and regulatory objectives.
• Apply advanced analytics (e.g. statistical modeling, AI/ML, generative AI) to a diverse range of applications, such as real-world evidence, clinical phenotyping, medical imaging, and biomarker analysis.
• Develop, manage and communicate data-driven solutions to cross-functional teams and internal governance processes, including the reporting requirements for both regulatory-grade and observational research.
• Partner with internal stakeholders and external vendors to identify data needs and procure novel data sources and/or technologies for bespoke applications.
• Collaborate with Clinical Development, Medical Affairs, Regulatory, and Commercial teams to identify opportunities for data-driven innovation.
• Oversee timelines, budgets, and deliverables for scientific research projects.
• Serve as a representative for the broader organization in scientific collaborations, conferences, and consortia.

Benefits

• medical
• dental
• vision
• life insurance
• short- and long-term disability
• business accident insurance
• group legal insurance
• consolidated retirement plan (pension)
• savings plan (401(k))
• long-term incentive program
• Vacation –120 hours per calendar year
• Sick time - 40 hours per calendar year; for employees who reside in the State of Washington –56 hours per calendar year
• Holiday pay, including Floating Holidays –13 days per calendar year
• Work, Personal and Family Time - up to 40 hours per calendar year
• Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child
• Condolence Leave – 30 days for an immediate family member: 5 days for an extended family member
• Caregiver Leave – 10 days
• Volunteer Leave – 4 days
• Military Spouse Time-Off – 80 hours

What This Job Offers

• Job Type: Full-time
• Career Level: Director
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees