Johnson Johnson is recruiting for an Co-op, Epidemiology and Observational Health Data Analytics (OHDA). The preferred locations for this position include 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 OHDA team. 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 the Epidemiology department, the Janssen Research and Development 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 JJ'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.

Johnson Johnson is recruiting for an Co-op, Epidemiology and Observational Health Data Analytics (OHDA). The preferred locations for this position include 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 OHDA team. 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 the Epidemiology department, the Janssen Research and Development 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 JJ'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.

Qualifications

Pursuing a degree in Informatics, Computer Science, or related disciplines.Experience with relational databases and programming in SQL is required.Experience with programming in R. Python experience is also acceptable.Experience programming against large healthcare data sets is preferred.Experience with statistical analysis and management of administrative claims datasets or electronic health/medical records is preferred.Knowledge of medical terminologies (ICD, NDC, SNOMED, MedDRA, LOINC, CPT) is preferred.Must be permanently authorized to work in the U.S., must not require sponsorship of an employment visa (e.g., H-1B or green card) at the time of application or in the future. Students currently on CPT, OPT, or STEM OPT usually requires future sponsorship for long term employment and do not meet the requirements for this program unless eligible for an alternative long-term status that does not require company sponsorship.

Qualifications

Pursuing a degree in Informatics, Computer Science, or related disciplines.Experience with relational databases and programming in SQL is required.Experience with programming in R. Python experience is also acceptable.Experience programming against large healthcare data sets is preferred.Experience with statistical analysis and management of administrative claims datasets or electronic health/medical records is preferred.Knowledge of medical terminologies (ICD, NDC, SNOMED, MedDRA, LOINC, CPT) is preferred.Must be permanently authorized to work in the U.S., must not require sponsorship of an employment visa (e.g., H-1B or green card) at the time of application or in the future. Students currently on CPT, OPT, or STEM OPT usually requires future sponsorship for long term employment and do not meet the requirements for this program unless eligible for an alternative long-term status that does not require company sponsorship.