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Corporate Medical Job at J&J: Turn Healthcare Data Into Impact | Apply Now!

Corporate Medical Job at Johnson & Johnson

A high-impact corporate medical job is open at Johnson & Johnson in Hyderabad for experienced professionals in epidemiology, healthcare data and real-world evidence. The Manager, Observational Health Data Analytics, Epidemiology role offers an opportunity to lead complex observational studies using large-scale healthcare datasets. For professionals exploring Johnson & Johnson Careers and advanced Medical Jobs India, this role combines epidemiological research, data analytics and global healthcare innovation.

About Johnson & Johnson:

Johnson & Johnson is a global healthcare organisation focused on developing innovative medicines, medical technologies and healthcare solutions. With operations spanning multiple areas of healthcare, the organisation brings together scientific expertise, technology and patient-focused innovation to address complex health challenges. Its global teams work across research, data science, epidemiology and healthcare technology. For professionals exploring Johnson & Johnson Careers, the organisation offers opportunities to contribute to research and evidence generation with international impact.

Job Details:

Job Parameter Details
Company Johnson & Johnson
Position Manager, Observational Health Data Analytics, Epidemiology
Location Hyderabad, India
Function Data Analytics & Computational Sciences
Sub-Function Epidemiology
Category Manager, Epidemiology (PL7)
Work Pattern Hybrid
Requisition Number R-083656
Date Posted 10 August 2026
Travel Up to 10% domestic/international

Job Description:

Johnson & Johnson is hiring a Manager, Observational Health Data Analytics, Epidemiology for its Hyderabad location. The position sits within Data Analytics & Computational Sciences, under the Epidemiology sub-function, and is classified as Manager, Epidemiology (PL7). The role follows a hybrid work pattern and requires regular in-office presence. The selected professional will be part of the Global Epidemiology team and will lead the design and execution of observational research using real-world healthcare data. The position requires substantial experience in epidemiology, statistical programming, healthcare datasets and research methodology.

Key Responsibilities:

  • The selected candidate will be responsible for:

    • Collaborating with OHDA, Global Epidemiology and cross-functional teams.
    • Leading the design and delivery of observational analyses.
    • Supporting clinical characterization and population-level effect estimation.
    • Contributing to patient-level prediction research.
    • Developing study protocols, analysis plans and other study documents.
    • Guiding analytical execution from study design through completion.
    • Conducting complex analyses using statistical programming and standardized tools.
    • Working with internal and external observational healthcare data resources.
    • Improving research methods, analytical processes and scientific best practices.
    • Supporting reliable and reproducible real-world evidence generation.
    • Contributing to software and analytical tools for scalable observational research.
    • Evaluating healthcare datasets for fitness-for-use.
    • Providing technical and scientific leadership for epidemiological data environments.
    • Mentoring junior team members.
    • Contributing to reports, presentations and other scientific deliverables.

Eligibility Criteria for this Corporate Medical Job:

  • Candidates applying for this corporate medical job must meet one of the following educational and experience pathways:

    MD / PhD Route

    • MD or PhD with at least 6+ years of epidemiology programming or related research experience.

    Candidates following this route require at least 8+ years of epidemiology or related healthcare research experience.

  • Required Professional Experience

    Candidates should also have:

    • At least 4 years of statistical programming using R and/or database programming using SQL.
    • At least 2 years of experience working with large healthcare datasets, including claims or electronic health records.
    • At least 2 years of healthcare industry experience, such as pharmaceutical, payer, provider, health system, CRO or related research environments.
    • Experience with 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 developing epidemiology study documents, including protocols and study reports.
    • Strong quantitative data analysis and interpretation abilities.
    • Excellent written and verbal communication skills.
    • Fluency in English.
    • Ability to travel up to 10% domestically and internationally when required.

    Preferred Qualifications

    Preference may be given to candidates with:

    • Leadership experience in epidemiology or real-world evidence research.
    • Experience with OHDSI and/or OMOP Common Data Model.
    • Knowledge of ICD, NDC, SNOMED, MedDRA, LOINC and CPT medical terminologies.
    • Experience in pharmaceutical, medical device, diagnostics or related healthcare research.
    • Scientific publications, posters, presentations or technical reports.
    • Familiarity with AI-enabled analytics or intelligent automation in research workflows.

Skills Required for this Corporate Medical Job:

Professionals interested in Johnson & Johnson Careers for this position should demonstrate:

  • Advanced epidemiological research skills
  • Strong statistical programming capabilities
  • Proficiency in R and/or SQL
  • Experience handling large-scale healthcare datasets
  • Knowledge of observational study methodologies
  • Real-world evidence research experience
  • Strong data interpretation and analytical skills
  • Experience developing research protocols and analysis plans
  • Understanding of healthcare data standards and medical terminologies
  • Strong scientific writing and presentation abilities
  • Cross-functional collaboration skills
  • Technical leadership and mentoring abilities
  • Ability to work independently on complex research projects

CLICK HERE TO APPLY NOW

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