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Senior Analyst, 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 Senior Analyst, 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 Senior Analyst on the OHDA team, you will help generate real-world evidence from large-scale healthcare data to support important scientific and business questions across Johnson & Johnson. This is a hands-on analytics role for someone who enjoys applying epidemiologic and data science methods to observational research. The types of analysis typically performed fall into three major categories: characterization, population-level estimation, and patient-level prediction.

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 with colleagues across OHDA and Global Epidemiology to support observational research and evidence-generation priorities.
• Support the design and delivery of observational analyses for clinical characterization, population-level effect estimation, and patient-level prediction.
• Contribute to study design documents, including protocols and analysis plans, in partnership with scientists and cross-functional stakeholders.
• Execute analyses using standardized tools and statistical programming against internal and external observational healthcare data sources.
• Help evaluate and improve methods, processes, and scientific best practices that support reliable real-world evidence generation.
• Contribute to the development of software and analytical tools that enable scalable, reproducible observational research.
• Support the evaluation and characterization of observational data for fitness-for-use in addressing clinical and epidemiologic questions.
• Provide technical and scientific support for the data and analytics environment used by epidemiologists and product teams.

QUALIFICATIONS

• Education:
  • An MD or PhD with at least 2+ 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 4+ years of epidemiology or related research experience in healthcare is required.
• Required experience and skills:
  • At least 2 years of experience in statistical programming using R and/or database programming using SQL.
  • At least 1 year of experience programming against large healthcare datasets, such as claims or electronic health records.
  • At least 1 year 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 analyzing and interpreting quantitative data.
  • Experience contributing to 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 supporting 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 with data visualization or reporting tools such as R Shiny and ggplot2.
  • 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.

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