Manager, Observational Health Data Analytics - Raritan, NJ

Company: Disability Solutions
Location: Raritan
Posted on: May 15, 2025

Job Description:

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions 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 https://www.jnj.comJob Function: Data Analytics & Computational SciencesJob Sub Function: EpidemiologyJob Category:Scientific/TechnologyAll Job Posting Locations:Raritan, New Jersey, United States of AmericaJob Description: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 Johnson & Johnson Innovative Medicine is recruiting for a Manager, Observational Health Data Analytics position in the Global Epidemiology Organization (GEO). This position will be based in Raritan, NJ.This position is a member of the Observational Health Data Analytics (OHDA) team within GEO. 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 GEO and the broader Johnson & Johnson organization 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 analytic tools, and demonstrating successful applications to important clinical questions.Primary responsibilities:

• Work closely with colleagues within GEO.
• Contribute to the successful delivery of observational analyses for clinical characterization, population-level effect estimation, and patient-level prediction to meet the needs of Johnon & Johnson'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 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.
• 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 development and evolution of scientific and industry standards for observational data harmonization, ensuring their appropriate application across the Johnson & Johnson 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.
• 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.
• Be able to work in a matrix environment, engage with external teams and contribute to scientific contributions.Qualifications:
  • We require you to have an undergraduate degree in biostatistics, public health, epidemiology, informatics, computer science, or related disciplines. A graduate degree (Masters or PhD) is preferred.
  • At least 2 years of experience in statistical programming (R), or database programming (SQL).
  • At least 1 year of programming against large healthcare data sets.
  • At least 1 year of relevant prior work experience in the healthcare industry within a pharmaceutical company, insurer, or within a health system.
  • At least 1 year of epidemiology research experience is preferred.
  • Experience with the statistical analysis and management of administrative claims datasets or electronic health/medical records.
  • Knowledge of medical terminologies (ICD, NDC, SNOMED, MedDRA, LOINC, CPT) is preferred.
  • A record of accomplishment of authoring scientific communications (peer-reviewed publications, poster or oral presentations at conferences, technical reports) is preferred.
    • This position is based in Raritan, NJ and has the option to follow a hybrid schedule of 3 days per week working on site and 2 days per week working remotely. (No fully remote option available.) May require up to approximately 10% travel.Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center (ra-employeehealthsup@its.jnj.com) or contact AskGS to be directed to your accommodation resource.The anticipated base pay range for this position is $115,000 to $197.800. The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation's performance over a calendar/performance year. Bonuses are awarded at the Company's discretion on an individual basis. Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Employees may be eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)). Employees are eligible for the following time off benefits:Vacation - up to 120 hours per calendar yearSick time - up to 40 hours per calendar yearHoliday pay, including Floating Holidays - up to 13 days per calendar year of Work, Personal and Family Time - up to 40 hours per calendar yearAdditional information can be found through the link below. https://www.careers.jnj.com/employee-benefitsThe compensation and benefits information set forth in this posting applies to candidates hired in the United States. Candidates hired outside the United States will be eligible for compensation and benefits in accordance with their local market.#LI-SL#JNJDataScience#JNJIMRND-DS#LI-Hybrid

Keywords: Disability Solutions, Toms River , Manager, Observational Health Data Analytics - Raritan, NJ, Healthcare , Raritan, New Jersey