Senior Principal Scientist, Real-World Evidence (RWE)
Senior Principal Scientist, Real-World Evidence (RWE)
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$ 137000 - 235750
1 Vacancy
Job Description
At Johnson & Johnsonwe believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented treated and curedwhere treatments are smarter and less invasive andsolutions are 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 more at
Job Function:
Data Analytics & Computational SciencesJob Sub Function:
Data ScienceJob Category:
Scientific/TechnologyAll Job Posting Locations:
Cambridge Massachusetts United States of America San Diego California United States of America Spring House Pennsylvania United States of America Titusville New Jersey United States of AmericaJob Description:
Johnson & Johnson Innovative Medicine is recruiting for R&D Data Science and Digital HealthSenior PrincipalScientistReal-World Evidence (RWE). This position hasa primarylocationofTitusville NJ but is also open to Spring House PA; Cambridge MA; or La Jolla CA.
Johnson & Johnson Innovative Medicine develops treatments that improve the health of people worldwide. Research and development areas encompass oncology cardiovascular and metabolic disorders immunology pulmonary hypertension retinal disorders and neuroscience. 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 Janssen one of the Pharmaceutical Companies of Johnson & Johnson visit R&D Data Science RWE team within Johnson and Johnson Innovative Medicines develops innovative insights and solutions bringing to bear a variety of different data sources across multiple disease areas. We are looking for outstandingscientistandleaderwhose responsibilities include:
Be a hands-on technical leader leading a portfolio of RWE projects while instituting best practices and developing common technical tools crafting a data-driven culture of accelerating scaling andprodcutionalizingdeliverables while mentoring and educating peers in the adoption of technical best practices and common tools.
Identifycommon technical requirements for RWE projects develop andmaintaina common suite of tools thatenablesRWE data scientists to accelerate delivery and scale common deliverables.
End-to-endexpertisein RWE studiesincludingconceptualizingthe researchquestions data feasibility study design analysis programming and interpretation.
Provide thought leadership and hand-on programmingexpertisefor developingadaptingand 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 studiesretrospectiveand prospective study designs.
Provide thought leadership and hand-on programmingexpertisetogeneratingRWE or secondary evidence from post-hoc RCT analyses observational databases and literature reviews to support regulatory agency interactions.
Independently create study protocols statistical analysis plans and statistical programming deliverables including analysis-ready data tables and figures usingappropriate statisticalanalysis software while instituting best practices for execution across the broader team.
Experience creating pipelines functions packages to performfrequentlyused actions and/or deliverables across broad group of stakeholders.
Partner with the Data Science Therapeutic Area scientists to conceptualize lead shape and deliver Real World Evidence and advanced analytics solutions and insights for prioritized use cases taking ownership of one or more disease area evidence generation teams.
Required qualifications:
A Ph.D. degree or masters degree in a quantitative field (e.g. epidemiology statistics biostatistics or similar)
At least 5 years of relevant experience within start-up technology biopharma or healthcare industries or highly relevant academic experience on a case-by-case basis
Extensive hands-on experience with data engineering andexploratorydata analysis statistical modeling time-to-event analyses comparative effectiveness analyses causal inference methods to mitigate observed and residual confounding (e.g. propensity score matching/weighting instrumental variables state transition models)
Demonstratedexpertisewith multiple real-world data sources (EHR insurance claims registry data). Familiarity with data structure and programming of clinical trial data
Excellent interpersonal communication and presentation skills
Extensive experience with database programming and use of statistical programming languages including expertproficiencyineitherR or Python workingproficiencyin SAS and SQL
Demonstrated experience as a technical lead in developingtestingandmaintainingtechnical frameworks for RWE analyses
Extensive knowledge of RWE Common Data Models (OMOP FHIR i2b2) & Analysis frameworks (OHDSIpharmaverse)
Preferred qualifications:
Familiarity with drug discovery and the clinical development process
Expertisein oncology Immunology or Neuroscience drug development
Experience in regulatory-grade evidence communicating and responding to agency reviews and comments.
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 federalstateor 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 () or contactAskGSto be directed to your accommodation resource.
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The anticipated base pay range for this position is :
$137000 - $235750Additional Description for Pay Transparency:
Additional Description for Pay Transparency 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 Companys 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 year Sick time - up to 40 hours per calendar year; for employees who reside in the State of Washington up to 56 hours per calendar year Holiday pay including Floating Holidays up to 13 days per calendar year Work Personal and Family Time - up to 40 hours per calendar year Additional information can be found through the link below.Required Experience:
Staff IC
Employment Type
Full-Time
