Caring for the world, one person at a time inspires and unites the people of Johnson and Johnson (J&J). We embrace research and science - bringing innovative ideas, products and services to advance the health and well-being of people. Employees of the J&J Family of Companies work with partners in health care to touch the lives of over a billion people every single day, throughout the world. Thriving on a diverse company culture, we celebrate the uniqueness of our employees and are committed to inclusion. J&J is proud to be an equal opportunity employer.
The Medical Device Epidemiology - Real World Data Sciences organization at Johnson and Johnson (J&J) conducts observational research to support product development, product launch, post-market safety and effectiveness, value assessments, and business development of medical devices. The team leads Real World Data (RWD) innovation and methodological excellence across J&J’s medical device sector. The team generates real-world evidence to answer questions related to epidemiology of the indication, safety, product development, label extensions, value demonstration for payers, and other activities.
The Real World Data Analytics and Programming lead will oversee the overall data programming and analytical needs of the Medical Device Epidemiology – Real World Data Sciences organization. The position will lead the development of standardized process that will maintain and improve the quality, consistency, and efficiency of the team's analytical deliverables.
KEY JOB RESPONSIBILITIES
Supervise senior analysts and off-shore programming team on their day to day programming activities
Build processes for on boarding, training and project prioritization for members of the analytics team
Lead the development and validation of standardized approaches to programming and analytical tools, including R, SAS, and SQL macros
Coordinate the creation of data specification files and Frequently Asked Questions (FAQ) documents for healthcare datasets such as electronic medical records, insurance claims, hospital billing data
Oversee the development of frameworks for commonly used statistical methods in observational research such as propensity score matching/stratification, survival analysis, and other regression models
Build infrastructure and processes for data storage, code repositories, documentation and quality control to ensure the highest quality of deliverables
Coordinate analytical forums and training sessions for dissemination of standardized processes, frameworks, macros and new analytical approaches Collaborate with other functions to assess, evaluate and ETL new data sources
Manage analytical infrastructure issues related to software and data servers in close collaboration with colleagues from IT and Data Sciences
Implement new approaches for working with “big data” in healthcare. Some tasks may include data visualization, development of GUI/dashboards, exploring common data models, predictive analytics and machine learning algorithms
Ensure that the analytical platforms are operational for the team to meet their goals
EDUCATION / EXPERIENCE
An advanced degree (Masters or PhD) in Biostatistics, Public Health, Epidemiology, Informatics, Computer Science or another related field
At least 5 years of experience in database programming (e.g. SQL) and statistical programming (e.g. R, SAS)
At least 5 years of experience in programming against large healthcare datasets
In-depth knowledge of the structure and caveats of healthcare claims databases, electronic medical records and/or hospital billing data
Strong written and verbal communication skills
Knowledge in epidemiologic and statistical concepts related to observational research
Prior people management experience
Relevant prior work experience in the healthcare industry within a pharmaceutical or device company
WORK ENVIRONMENT: Office.
TRAVEL REQUIREMENTS: Overnight travel may be required up to 10%
LOCATION: New Brunswick, NJ or Titusville, NJ preferred.
Internal Number: AssocDirJuly2019
About Johnson and Johnson
Johnson & Johnson, incorporated on November 10, 1887, is a holding company. The Company and its subsidiaries are engaged in the research and development, manufacture and sale of a range of products in the healthcare field. The Company operates through three segments: Consumer, Pharmaceutical and Medical Devices. The Company's primary focus is on products related to human health and well-being. The Company's subsidiaries operated 119 manufacturing facilities, as of January 1, 2017. The Company's research facilities are located in the United States, Belgium, Brazil, Canada, China, France, Germany, India, Israel, Japan, the Netherlands, Singapore, Switzerland and the United Kingdom. The Company has over 230 operating companies, which conduct business around the world.