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.

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Job Function:

Data Analytics & Computational Sciences

Job Sub Function:

Epidemiology

Job Category:

People Leader

All Job Posting Locations:

Hyderabad, Andhra Pradesh, India

Job Description:

DESCRIPTION

Manager, Observational Health Data Analytics, Epidemiology - Hyderabad

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

Johnson & Johnson Innovative Medicine is seeking a Manager, Observational Health Data Analytics (OHDA) to join our Global Epidemiology team. This role is based in Hyderabad, India and requires regular in-office presence.

As a Manager on the OHDA team, you will lead the design and execution of real-world evidence studies using large-scale healthcare data to address important scientific and business questions across Johnson & Johnson. The role will be required to manage direct report, mentor analysts, and guide complex analyses. This role is suited for an experienced observational researcher who can work independently, guide complex analyses, and help shape high-quality, reproducible evidence generation.

OHDA collaborates with the broader international research community to establish and promote best practices in the appropriate use of observational data by conducting methodological research, developing standardized analytics tools, and demonstrating successful applications to important clinical questions.

In this role, you will:

• Collaborate closely with colleagues across OHDA, Global Epidemiology, and cross-functional teams to advance observational research priorities.
• Lead the design and delivery of observational analyses for clinical characterization, population-level effect estimation, and patient-level prediction.
• Independently develop study design documents, including protocols and analysis plans, and guide analytical execution from start to finish.
• Execute complex analyses using standardized tools and statistical programming across internal and external observational healthcare data resources.
• Drive improvements in methods, processes, and scientific best practices to support reliable and reproducible real-world evidence generation.
• Contribute to the design and development of software and analytical tools that enable scalable observational research.
• Lead the evaluation and characterization of observational data for fitness-for-use in addressing clinical and epidemiologic questions.
• Provide technical and scientific leadership for the data and analytics environment used by epidemiologists and product teams.
• Mentor junior team members and contribute to strong scientific communication through reports, presentations, and other deliverables.

QUALIFICATIONS

• Education:
  • An MD or PhD with at least 6+ years of epidemiology programming or related research experience is required.
    OR
  • A Master’s degree in Epidemiology, Health Services Research, Health Outcomes Research, Biostatistics, Public Health, Informatics, Computer Science, or a related discipline with at least 8+ years of epidemiology or related research experience in healthcare is required.
• Required experience and skills:
  • At least 4 years of experience in statistical programming using R and/or database programming using SQL.
  • At least 2 years of experience programming against large healthcare datasets, such as claims or electronic health records.
  • At least 2 years of relevant experience in the healthcare industry, including pharmaceutical, payer, provider, health system, CRO, or related research settings.
  • Experience managing and analyzing administrative claims data and/or electronic health or medical record data.
  • Experience with data visualization or reporting tools such as R Shiny and ggplot2.
  • Experience analyzing and interpreting quantitative data.
  • Experience developing epidemiology study documents, including protocols and study reports.
  • Strong written and verbal communication skills.
  • Fluency in English.
  • Ability to travel up to 10% domestically and internationally, as needed.
• Preferred qualifications:
  • Experience leading epidemiology or real-world evidence research.
  • Experience with OHDSI and/or the OMOP Common Data Model.
  • Knowledge of medical terminologies such as ICD, NDC, SNOMED, MedDRA, LOINC, and CPT.
  • Experience in pharmaceutical, medical device, diagnostics, or related healthcare research environments.
  • A track record of scientific communication, including publications, posters, presentations, or technical reports.
  • Familiarity with AI-enabled analytics or intelligent automation concepts relevant to data science and research workflows.

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 & 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, external applicants please contact us via https://www.jnj.com/contact-us/careers , internal employees contact AskGS to be directed to your accommodation resource.

 

 

Required Skills:

 

 

Preferred Skills:

Advanced Analytics, Clinical Trials Operations, Cross-Functional Collaboration, Data Privacy Standards, Developing Others, Disease Management, Emergency Planning, Environmental Health, Epidemiology, Financial Competence, Inclusive Leadership, Industry Analysis, Leadership, Public Health, Public Health Surveillance, Standard Operating Procedure (SOP), Team Management, Vendor Management