Principal Data Scientist developing real-world evidence insights for Johnson & Johnson's Innovative Medicine R&D. Collaborating with cross-functional teams to implement evidence for patient outcomes.
Responsibilities
Contribute to the development of a portfolio of RWE projects based on RWD that will provide key 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
Ensure RWE generation aligned with regulatory requirements and scientific standards
Requirements
A Ph.D. degree, or master’s degree in a quantitative field (e.g., epidemiology, biostatistics, statistics, Bioinformatics, 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
Proven track record of consistently delivering on high impact data science projects
Expert proficiency in R and SQL
Excellent interpersonal, communication, and presentation skills
Benefits
medical, dental, vision, life insurance
short- and long-term disability
business accident insurance
group legal insurance
consolidated retirement plan (pension)
savings plan (401(k))
Vacation –120 hours per calendar year
Sick time - 40 hours per calendar year
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 the birth/adoption/foster care of a child
Condolence Leave – 30 days for an immediate family member: 5 days for an extended family member
Caregiver Leave – 10 days
Volunteer Leave – 4 days
Military Spouse Time-Off – 80 hours
Job title
Principal Data Scientist, Real World Evidence – RWE
Senior Data Scientist for Integrity & Trust developing AI fraud detection systems in MENA region. Building models for detection and maintaining marketplace quality across the platform.
Data Scientist specializing in grant fraud detection at Desjardins. Providing advanced analytics and AI solutions to support business decisions using extensive data.
Senior BI Data Scientist transforming financial data into actionable insights at Consort Group. Building performance - driven analytical solutions within a Transaction Banking environment.
Data Scientist specializing in Data Analytics & Visualization at BDO. Transforming raw data into actionable insights within the Innovation and Change team.
Customer Insight Data Scientist developing NLP and text analytics solutions for a leading online pharmacy. Transforming unstructured customer feedback into actionable insights across multiple channels.
Applied AI Data Scientist designing and building machine learning models for Pharmacy2U's medication management products. Collaborating with clinical stakeholders and engineering partners in a hybrid working environment.
Commercial Data Scientist designing and owning models for customer segmentation at Pharmacy2U. Collaborating with marketing and commercial teams to present actionable data insights.
Distinguished Data Scientist providing technical leadership for next - generation AI systems at Walmart. Driving system design and advanced solution development for impactful machine learning applications at scale.
Senior Data Scientist providing technical leadership and vision for next - generation AI systems at Walmart. Driving advanced solution development to transform operations globally.
Senior Data Scientist developing state of the art ML and recommendation systems for eCommerce. Collaborating across teams to enhance customer shopping experiences in a tech - driven environment.