Principal Data Scientist

Johnson & Johnson Innovative Medicine R&D Data Science and Digital Healthisrecruiting foraPrincipal Data Scientist, Real World Evidence (RWE). 

The primary location for this position is flexible– Titusville, NJ; Raritan, NJ; Spring House, PA; Cambridge, MA; or San Diego, CA

J&J Innovative Medicine develops treatments that improve the health of people worldwide. Research and development areas encompass oncology, immunology, neuroscience, cardiopulmonary and specialty ophthalmology. Our goal is to help people live longer, healthier lives. We have produced and marketed many first-in-class prescription medications and are poised to serve the broad needs of the healthcare market – from patients to practitioners and from clinics to hospitals. To learn more about Johnson & Johnson Innovative Medicine visit https://innovativemedicine.jnj.com/

The R&D Data Science & Digital Health, Real-World Evidence (RWE) team at J&J Innovative Medicine is dedicated todevelopinginnovativeevidencesolutionsand critical insightsthrough diverse data sourcesincludingRWD, trial data and emerging innovative data sources,to support our clinical programs and regulatory submissions. The Principal Data Scientist will collaborate closely with strategic partners inR&DData Science and Digital Health, as well asmultidisciplinary teams within J&J Innovative Medicine,todevelop and implement evidence and insights to improve patient outcomes and enhance clinical development inOncology, Immunology, or Neuroscience.

Key Responsibilities:

• Contribute to the development ofa portfolio of RWE projectsbased on RWD that willprovidekey insights to our pipeline assets

• Leverage emerging scientific and technological developments to generate new research ideas, solutions and initiatives using real-world data

• End-to-end experience in RWE studies including conceptualizing the research questions, data feasibility, study design, analysis, programming, and interpretation

• Analyze and interpret data to support urgent requests from internal and external stakeholders

• Ensure quality of design, execution, and publication of real-world evidence studies, and quality of models & tools

• Create study protocols, statistical analysis plans, and statistical programming deliverables

• Clearly articulate highly technical methods and results to diverse audiences and partners to drive decision-making

• EnsureRWE generation aligned with regulatory requirements and scientific standards

RequiredQualifications:

• A Ph.D. degree, or master’s degree in a quantitative field (e.g., epidemiology, biostatistics,statistics,or similar)

• Relevant experience (2+ years for Ph.D., 4+ years for a master’s)within biopharma companies, RWE consulting firms, or other relevant healthcare industries

• Extensive hands-on experience with data engineering and data analysis

• Proventrack recordof consistently delivering on high impact data science projects

• Expertproficiencyin Rand SQL

• Excellent interpersonal, communication, and presentation skills

PreferredQualifications:

• Experience delivering on Data Science projects using predictive technologies as machine learning/deep learning, or forecasting

• Familiarity with and exposure to drug discovery and clinical development processes with one or more of the following therapeutic areas: oncology, immunology, neuroscience, or specialty ophthalmology

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,stateor 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 ([email protected]) or contactAskGSto be directed to your accommodation resource.

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