Senior Analyst, Observational Health Data Analytics, Epidemiology - Hyderabad

8080-Johnson & Johnson Private Limited Legal Entity; Hyderabad; On-site; INR 1,200,000 - 2,200,000; Full time

Job summary

Johnson & Johnson Innovative Medicine in Hyderabad, India seeks a Senior Analyst, Observational Health Data Analytics (OHDA) to join the Global Epidemiology team. You will generate real-world evidence from large healthcare data sources and perform epidemiologic analyses in a hands-on role.

Responsibilities include designing observational studies, implementing analyses in R/SQL, and contributing to study documents, protocols, and reports while collaborating with cross-functional teams worldwide.

Qualifications

• MD or PhD with 2+ years epidemiology programming or related research experience.
• Or Master’s degree with at least 4+ years in epidemiology or related research in healthcare.
• At least 2 years of statistical programming using R and/or SQL.
• Experience programming against large healthcare datasets (claims/EHR).
• Experience in healthcare industry settings and study documents (protocols/reports).
• Fluency in English and strong communication skills.

Responsibilities

• Collaborate with OHDA and Global Epidemiology to support research priorities.
• Design and deliver observational analyses for characterisation and estimation.
• Contribute to study documents, protocols, and analysis plans with cross-functional teams.
• Execute analyses using standardized tools against healthcare data sources.
• Help develop software/tools for scalable observational research.
• Provide support for data/analytics environment used by epidemiologists and product teams.

Skills

R

SQL

Epidemiology

Data analysis

Large datasets

Education

MD or PhD in Epidemiology/Related field

Master’s degree in Epidemiology/Health Outcomes/ Biostatistics/ Public Health/ Informatics

Tools

OHDSI

OMOP CDM

R Shiny

ggplot2

Job description

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, andsolutions 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.

Job Function

Data Analytics & Computational Sciences

Job Sub Function

Epidemiology

Job Category

Scientific/Technology

All Job Posting Locations

Hyderabad, Andhra Pradesh, India

Job Description

Senior Analyst, Observational Health Data Analytics, Epidemiology – Hyderabad

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.

Required Skills: Preferred Skills: Advanced Analytics, Analytical Reasoning, Big Data Management, Data Compilation, Data Privacy Standards, Detail-Oriented, Epidemiology, Execution Focus, Health Intelligence, Incident Management Systems, Industry Analysis, Predictive Modeling, Professional Ethics, Public Health, Public Health Surveillance, Report Writing, Scientific Research, Technologically Savvy

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, andsolutions 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 https://www.jnj.com/.

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