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Manager Epidemiology

Job in Northern, Floyd County, Kentucky, USA
Listing for: Relha LLC
Full Time position
Listed on 2026-08-14
Job specializations:
  • Healthcare
  • Research/Development
    Research Scientist
Salary/Wage Range or Industry Benchmark: 117000 - 201000 USD Yearly USD 117000.00 201000.00 YEAR
Job Description & How to Apply Below
Location: Northern

At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build aworld 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 Med Tech, 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

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.

Job Function:

Data Analytics & Computational Sciences Job Sub Function:

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Job Description:

We have a pre-identified candidate for this role. However, other qualified candidates will also be considered.

We are currently recruiting for a Manager Oncology Epidemiology role based in La Jolla, CA.

The Manager, Oncology Epidemiology role is accountable for working independently and supporting work across the Oncology Epidemiology team under the supervision of more senior members of the department.

Primary responsibilities are:
  • Assist with identifying research study needs, drafting proposals and protocols, and contributing to epidemiology study conduct and analyses across the therapeutic area portfolio, and supporting interpretation and communicating evidence to internal and external stakeholders.
  • Conduct literature reviews and synthesis while incorporating AI and other tools where appropriate; provide assistance to senior epidemiologists and clinical teams with study design; and identify and evaluate data resources to meet therapeutic needs.
  • Assist with conducting fit for purpose database and study feasibility assessments and executing analyses across the product cycle, while working closely with colleagues in the Observational Health Data / Oncology Specialty Analytics group.
  • Provide epidemiological and/or statistical consulting, education and support to product teams, and assist with disseminating technical information through technical reports, presentation, and publication in peer-reviewed literature, as agreed by the team.
  • Assist research in natural history of diseases, both within and outside of existing electronic databases, to understand background event rates in the indicated population expected with standard of care; perform statistical risk assessments; use historical clinical trial data and other data sources to contextualize potential safety issues for new medications; support benefit-risk assessments throughout the product lifecycle; assist in design and conduct of post-authorization safety activities, including rapid analytics for signal strengthening and formal required/committed evaluation studies, as part of Pharmacovigilance and Risk Management Plans.
  • May work in cross departmental/sector committees, and or other efforts supporting J&J Innovative Medicine.
  • Keep up to date with the FDA and other Regulatory Agencies regarding regulatory requirements for Post Approval Authorization Studies and Risk Management plans and the development of formal guidance for use of RWE for Regulatory Decision Making.
Qualifications:
  • PhD in Epidemiology or a closely related field OR MD with training and degree in Epidemiology or a closely related field OR Master’s degree with at least 2 years of hands-on experience is required.
  • At least 2 years of Epidemiology research experience is required.
  • Must have an understanding and the ability to interpret quantitative methods.
  • Experience with writing observational study protocols, proposals, and/or proposal requests, particularly the methods sections, is preferred.
  • Experience working with large administrative or medical records databases is preferred.
  • Experience working with Artificial Intelligence based tools
  • A track record of authoring scientific communications (peer-reviewed publications, poster or oral presentations at conferences, technical…
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