Senior Analyst, Observational Health Data Analytics, Epidemiology - Hyderabad

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:
DESCRIPTION

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 c...