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Senior Director/ Research Fellow (technical leader), Data Science, Real World Evidence Analytics and

Company: Johnson & Johnson
Location: Titusville
Posted on: January 15, 2022

Job Description:

Janssen Research & Development LLC, a Johnson & Johnson company, is recruiting for a Senior Director/ Research Fellow (technical leader), Data Science, Real World Evidence Analytics and Insights. The primary location for this position is flexible - either New Brunswick, NJ or Spring House, PA or South San Francisco, CA. Consideration will be given to Raritan, NJ, Titusville, NJ or Beerse, Belgium.

Janssen develops treatments that improve the health and lifestyles of people worldwide. Research and Development areas encompass Oncology, Cardiovascular and Metabolic disorders, Immunology, Neuroscience, and Infectious diseases. Our ultimate 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 Janssen, one of the Pharmaceutical Companies of Johnson & Johnson, visit www.janssenpharmaceuticalsinc.com.

The Senior Director Will
Partner with the Data Science and Therapeutic Area leaders to conceptualize, lead, shape and deliver Real World Evidence, and advanced analytics solutions and insights for prioritized use cases. Also, drive large strategic and complex projects to achieve the intended impact in a timely manner.
Build and cultivate the right partnerships and alliances with internal and external partners in tandem with Business Development, Innovation Centers, etc.
Independently partner with and mentor the Data Science Real World Evidence Analytics and Insights team of scientists to influence strategy and execute on the priorities, building a roadmap to deliver the projects from data feasibility, study design and analysis, to final presentation to senior cross-functional leaders
As a subject matter expert provide thought leadership for developing, adapting and delivering Real-World Data ("RWD") methodologies to mitigate observed and unobserved bias and confounding in the execution of comparative effectiveness analyses, time-to-event analyses, external control arm studies, hybrid control arm studies, observational and prospective study designs, and the development of algorithms for risk stratification, creating disease severity indices, etc.
Be a hands-on technical leader among the Data Science team, instituting best practices while crafting a data-driven culture, developing, and mentoring members of the team.
Develop a RWE strategy that distinguishes Data Science Analytics & Insights through validating real-world methods and developing novel designs leading to intellectual property patents or publication

Qualifications

Required:
A Ph.D./ M.D. degree, or master's degree in a quantitative science (e.g., epidemiology, statistics, biostatistics, health economics, biomedical informatics, computer science, or similar)
Demonstrated experience and expertise ( > 10 years) within the biopharma industry with extensive cross functional experience in drug development and evidence generation including clinical trial statistics, real world evidence, pharmacoepidemiology and clinical development.
Expertise in one or more therapeutic areas including oncology, immunology, neuroscience or cardiovascular
Extensive experience with study design and data analysis, statistical modeling, causal inference methods to mitigate observed and residual confounding (propensity score matching/ weighting, instrumental variables, state transition models, comparative effectiveness analysis
Demonstrated experience in real-world data (EHR, insurance claims, registry data)
Proven leadership in complicated context, able to influence and engage the strategic and technical partners in a matrix organization
Experience in generating regulatory grade evidence (e.g., single arm studies with external controls) for submission to regulatory authorities; communicating and responding to agency reviews and comments
Proven track record of consistently delivering on high impact drug development projects
Excellent interpersonal, communication, and presentation skills
Demonstrated experience in leading cross-functional teams, managing complex stakeholders and influencing without direct authority.
Ability to work in an agile matrix environment
Expert proficiency in either SAS, R or Python.
Thriving on a diverse company culture and celebrating the uniqueness of our employees, we are committed to inclusion. We are proud to be an equal opportunity employer.

Preferred
Expertise with AI/ML machine learning, quantitative methods, predictive and causal modelling and other analytics frameworks and techniques
Demonstrated experience driving research using Machine Learning, Deep Learning, Natural Language Processing and / or statistical modeling methods
Demonstrated experience through publication and thought leadership that combines clinical prediction and causal inference, and observational research methods
Ability to effectively communicate technical work to a wide audience

Johnson & Johnson is an Affirmative Action and 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, or protected veteran status and will not be discriminated against on the basis of disability.

Working with Johnson & Johnson can change everything. Including YOU.

#JNJDataScience #JRDDS

Primary Location

United States-California-South San Francisco-260 E. Grand Avenue

Other Locations

North America-United States-Massachusetts-Cambridge, Europe/Middle East/Africa-Belgium-Antwerp-Beerse, North America-United States-New Jersey-Titusville, North America-United States-Pennsylvania-Spring House, North America-United States-California-La Jolla

Organization

Janssen Research & Development, LLC (6084)

Job Function

R&D

Requisition ID

2105996145W

Keywords: Johnson & Johnson, Trenton , Senior Director/ Research Fellow (technical leader), Data Science, Real World Evidence Analytics and, Executive , Titusville, New Jersey

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