Co-Op Epidemiology

J&J Innovative Medicines recruiting for a Co-op, Epidemiology.

The preferred position location includes Horsham, PA; Titusville, NJ; or Raritan, NJ.

Remote work options in the United States may be considered on a case-by-case basis and if approved by the Company.

This position is a member of the Observational Health Data Analytics (OHDA) team which sits within the Epidemiology group in the Office of the Chief Medical Officer.

OHDA's mission is to improve the lives of individuals and quality of healthcare by efficiently generating real-world evidence from the world's observational health data, transparently disseminating evidence-based insights to real-world decision-makers, and objectively advancing the science and technology behind reliable, reproducible real-world analytics.

The OHDA team collaborates with their colleagues in the Global Epidemiology Organization, and others within the Johnson & Johnson Family of Companies on generating and disseminating real-world evidence about disease, health service utilization, and the effects of medical products through the analysis of healthcare data.

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.

This role will be a member of the team whose primary responsibilities include:


* Work closely with colleagues within the Epidemiology department.


* Contribute to the design and development of software and analytical tools that encode scientific best practices into solutions that enable real-world evidence generation and dissemination.


* Contribute to the successful delivery of observational analyses for clinical characterization, population-level effect estimation, and patient-level prediction to meet the needs of J&J's scientific and business functions.


* Contribute to the design of observational database analysis, including authoring protocol and analysis plans.


* Contribute to the execution of observational database analyses by using standardized analytical tools and writing statistical programs against internal and external observational data resources.


* Contribute to technical support for the data and analysis infrastructure and provide scientific support for conducting observational research in collaboration with epidemiologists and product teams.

The Co-op will primarily focus on supporting open-source development activities with OHDA, including the design, implementation, testing, documentation and deployment of 1) back-end analytic packages to extract and manipulate patient-level data across a network of databases standardized to the OMOP Common data model, execute statistical models, and generate aggregate summary results; and 2) front-end user interfaces to support the design of analysis specifications and i...