Principal Data Scientist, Real World Evidence

Role Overview

The Principal Data Scientist will collaborate with strategic partners to develop and implement evidence and insights to improve patient outcomes and enhance clinical development in Neuroscience.

What You Will Do

Contribute to the development of a portfolio of RWE projects, leverage emerging scientific and technological developments, and analyze and interpret data to support urgent requests from internal and external stakeholders.

Why It Might Be a Fit

The ideal candidate will have a Ph.D. degree or master’s degree in a quantitative field, relevant experience in biopharma companies or RWE consulting firms, and expertise in data engineering and data analysis.

Requirements

• A Ph.D. degree, or master’s degree in a quantitative field (e.g., biostatistics, AI Data Science, Bioinformatics, 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
• Experience designing and executing studies using real-world healthcare data, such as claims, electronic health records (EHRs), or registries
• 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 either R or Python, SPARQL, Cypher
• Excellent interpersonal, communication, and presentation skills
• 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
• Hands-on experience with graph neural networks and related graph ML methods for learning across large, heterogeneous, multi-domain graphs.
• Hand-on bioinformatics experience running and interpreting results in a biological/disease context, including pathway or functional enrichment analysis.

Benefits

• Annual bonus with set target (% of pay) depending on pay grade / location
• Sales commissions
• Vacation days
• Parental leave for a minimum of 12 weeks
• Bereavement leave
• Caregiver leave
• Volunteer leave
• Well-being reimbursement
• Programs for financial, physical, and mental health
• Service anniversary and recognition awards
• Insurance plans

Tagged as: Data Analysis, Forecasting, Python