Principal Scientist, Data Science
About The Position
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 jnj.com. As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.
Requirements
- Master's degree in Epidemiology, Biostatistics, Statistics or related quantitative field, and 4 years of experience in the job offered or in a Principal Scientist, Data Science-related occupation.
Responsibilities
- Closely partner with R&D Data Science and Digital Health, as well as multidisciplinary teams within J&J Innovative Medicine, to execute priorities and build a roadmap for delivering projects from data feasibility to final presentation to senior cross-functional leaders.
- Conceive, develop, and implement analytics solutions for high-priority scientific problems.
- Lead and implement use cases by adapting and delivering Real-World Data (RWD) methodologies to mitigate observed and unobserved bias and confounding in the execution of comparative effectiveness analyses, time-to-event analyses, external control arm studies, synthetic and hybrid control arm studies, observational and prospective study designs, burden of disease estimation, cohort selection and characterization, incidence/prevalence studies, non-inferiority studies, development of risk stratification algorithms, and creation of disease severity indices.
- Act as a co-participant in cross-functional collaborations with external companies and internal scientific and data science teams.
- Shape internal and external collaborations and define the scope of research questions.
- Extract insights from large observational patient databases (e.g., electronic health records, claims, registries) to inform health outcomes and support drug development.
- Clearly articulate complex technical methods and results to diverse audiences and stakeholders to support decision-making.
- Mentor junior team members in applying appropriate methods for real-world data analysis.
Benefits
- Consolidated retirement plan (pension)
- Savings plan (401(k))
- Vacation - 120 hours per calendar year
- Sick time - 40 hours per calendar year (or 48 hours for Colorado residents, 56 hours for Washington residents)
- 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
- Bereavement Leave - 240 hours for an immediate family member, 40 hours for an extended family member per calendar year
- Caregiver Leave - 80 hours in a 52-week rolling period
- Volunteer Leave - 32 hours per calendar year
- Military Spouse Time-Off - 80 hours per calendar year
- Long-term incentive program
- Medical
- Dental
- Vision
- Time off
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What This Job Offers
Job Type
Full-time
Career Level
Principal
