Manager Epidemiology Analytics
Location: Titusville, New Jersey
Janssen Research & Development, LLC, a member of the Johnson & Johnson Family of Companies, is recruiting for the role of Manager in Epidemiology Analytics. This role will be based either with the Epidemiology team in Titusville, NJ or remotely from anywhere in the United States.
At the Janssen Pharmaceutical Companies of Johnson & Johnson, what matters most is helping people live full and healthy lives. We focus on treating, curing and preventing some of the most devastating and complex diseases of our time. And we pursue the most promising science, wherever it might be found.
Janssen Research & Development, LLC discovers and develops innovative medical solutions to address important unmet medical needs in oncology, immunology, neuroscience, infectious diseases and vaccines, and cardiovascular and metabolic diseases. Please visit http://www.janssenrnd.com/ for more information.
We are Janssen. Our mission drives us. Our patients inspire us. We collaborate with the world for the health of everyone in it.
Thriving on a diverse company culture, celebrating the uniqueness of our employees and committed to inclusion. Proud to be an equal opportunity employer.
Your primary role in this position is as an active Epidemiology Analytics colleague. We in Epidemiology Analytics support the Janssen organization, and others within Johnson & Johnson by generating and disseminating real-world evidence about disease, health service utilization, and the effects of medical products through the analysis of healthcare data. You would also have the opportunity to engage with the broader international research community to establish and promote the appropriate use of observational data by conducting methodological research, developing standardized analytics tools and demonstrating successful applications to important clinical questions.
Your position will be focused on supporting the ‘real world exploration of benefits’ (RWEB) initiative, an ambitious collaborative effort to develop a systematic process for observational database analyses to enable exploration and identification of differentiated benefits of medical products to support R&D’s clinical development strategy. We are designing and implementing an R&D RWEB “engine” to efficiently generate population-level effect estimation study results across a network of observational databases so that Janssen R&D scientists can proactively use real-world evidence to inform their clinical development program decisions.
Enabling the RWEB initiative will require collaborative support across the 4 functional units within Janssen Epidemiology Analytics:
1) Data Integrity, Standardization, and Characterization Operations: responsible for the development and evolution of scientific and industry standards for observational data harmonization, ensuring their appropriate application across the J&J real-world data ecosystem, and leading the evaluation and characterization of observational data for their fitness-for-use to address clinical questions from across the organization
2) Methodology Empirical Research and Evaluation: responsible to innovating, evaluating and establishing scientific best practices around the design and conduct of observational analysis and accompanying processes to ensure the reliability of real-world evidence
3) Open-Source Analytics Development: responsible for leading the design and development of software and analytical tools that encode scientific best practices into solutions that enable real-world evidence generation and dissemination
4) Clinical Intelligence Applications: responsible for ensuring 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.
Are you passionate about a role that designs, executes, and interprets epidemiological research for Janssen as well as participates and develop best in class research practices on observational data? This role provides those opportunities.
You will provide technical support for the data and analysis infrastructure and provide scientific support for conducting observational research in collaboration with epidemiologists and product teams. Additionally, you will support in dissemination of scientific information through technical reports and publications in peer-reviewed literature.
You will lead the design and development of standardized analytics tools, including front-end user interface and back-end execution engine, to generate and disseminate real-world evidence from a network of observational data
You will lead and contribute to the design of observational database analyses, including authoring protocols and analysis plans.
You will also lead and contribute to the execution of observational database analyses by using standardized analytical tools and writing statistical programs against an array of observational data resources.
You will lead and contribute to the synthesis of evidence from observational database analyses with other evidence to inform medical decision-making, including authoring publications and presentations.
Undergraduate degree in Biostatistics, Public Health, Epidemiology, Informatics, Computer Science or related disciplines. A graduate degree (Masters or PhD) is preferred.
3 years of experience in application/web development (e.g. Java, C#), statistical programming (e.g. SAS, R, Python), or database programming (e.g. SQL).
1 year of programming against large research or healthcare data sets.
Experience with the statistical analysis and management of administrative claims datasets or electronic health/medical records.
Knowledge of medical terminologies (e.g. ICD, NDC, SNOMED, MedDRA, LOINC, CPT) is preferred.
You should have strong written and oral communication skills.
We would like if you have project management experience.