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Senior Principal Scientist, Data Science RWE
Johnson & Johnson. Lead a portfolio of real-world evidence projects as a hands-on scientific and technical leader .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading real-world evidence projects, applying advanced statistical methodologies, and generating actionable insights from diverse data sources. Proficient in coding with R, Python, or SAS, and experienced in regulatory-grade evidence communication within the biopharma industry.
Highest-signal resume keywords
Ph.D. In EpidemiologyExpert Coding Skills In RExpert Coding Skills In PythonExpert Coding Skills In SASExperience With Real-World Data Sources
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
Data ExtractionData CleaningData AnalysisStatistical MethodsStudy DesignStatistical Analysis PlansStatistical ProgrammingReal-World Data MethodologiesBias Mitigation TechniquesStudy Protocol Development
Soft Skills
Interpersonal SkillsCommunication SkillsPresentation SkillsMentoring Skills
Industry Keywords
Real-World EvidenceBiopharmaOncologyImmunologyNeuroscienceRegulatory-Grade EvidenceClinical Trial DataExternal Control Arm StudiesComparative Effectiveness AnalysesObservational Databases
Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- Lead a portfolio of real-world evidence projects as a hands-on scientific and technical leader
- Develop best practices and mentor team members
- Identify common technical requirements for RWE projects
- Develop and maintain a common suite of tools to accelerate RWE project delivery
- Conceptualize research questions and conduct data feasibility, study design, analysis, programming, and interpretation for RWE studies
- Develop and apply real-world data methodologies to mitigate observed and unobserved biases in external control arm studies, hybrid control studies, and comparative effectiveness analyses
- Generate actionable insights from post-hoc RCT analyses, observational databases, and literature reviews to support regulatory agency interactions
- Create study protocols, statistical analysis plans, and statistical programming deliverables, including analysis-ready data, tables, and figures
- Partner with Data Science Therapeutic Area scientists to conceptualize, lead, shape, and deliver Real World Evidence
Requirements
What you’ll need- Ph.D. degree in epidemiology or biostatistics
- Expert coding skills using R, Python, or SAS
- At least 5 years of relevant experience within biopharma companies, RWE consulting firms, or other relevant healthcare industries
- Extensive hands-on experience with data extraction, cleaning, and analysis
- Experience with statistical methods to mitigate confounding and selection biases
- Expertise with multiple real-world data sources, including EHR, insurance claims, and registry data
- Familiarity with clinical trial data structure
- Excellent interpersonal, communication, and presentation skills
- Familiarity with drug discovery and the clinical development process
- Subject matter knowledge in oncology, immunology, or neuroscience
- Experience in regulatory-grade evidence and communicating/responding to agency reviews and comments
Benefits
Comp & perks- Consolidated retirement plan (pension)
- Savings plan (401(k))
- Long-term incentive program
- Vacation – 120 hours per calendar year
- Sick time – 40 hours per calendar year; 48 hours for employees residing in Colorado; 56 hours for employees residing in Washington
- Holiday pay, including Floating Holidays – 13 days per calendar year
- Work, Personal and Family Time – up to 40 hours per calendar year
- Parental Leave – 480 hours within one year of birth/adoption/foster care of a child
- Bereavement Leave – 240 hours for an immediate family member; 40 hours for an extended family member per calendar year
- Caregiver Leave – 80 hours in a 52-week rolling period
- Volunteer Leave – 32 hours per calendar year
- Military Spouse Time-Off – 80 hours per calendar year
- Inclusive interview accommodations for applicants with disabilities