Data Scientist / Biostatistician
Core
Build AI, machine-learning, and statistical models to predict clinical-trial outcomes and generate investment insights for biotech and pharmaceutical equity research.
Role type
Senior IC data scientist (biostatistics & AI)
Builds
Proprietary predictive models for clinical-trial success, regulatory outcomes, and commercial potential
Domain
Biotechnology / Pharmaceutical equity research
Deliverable
production ML models
Required skills
Python, R, machine learning, predictive modeling, generative AI, natural-language processing, clinical-trial design, statistical analysis
Preferred skills
PhD or MD, epidemiology, bioinformatics, computational biology, equity-research experience
Technologies
Python, R, LLMs, generative AI
Responsibilities
Build AI and statistical models to predict clinical-trial results and regulatory outcomes; Analyze trial design, endpoints, powering, patient populations, and safety data; Use NLP to analyze scientific publications and regulatory documents; Create automated tools to track clinical pipelines and risks; Validate models and control for bias and overfitting; Work with research analysts on pipeline valuations and forecasts.
