Principal Data Scientist
Role details
Job location
Tech stack
Job description
- bfPREP - biology-aware data harmonization that unlocks the value trapped in fragmented, multi-site clinical and omics datasets
- bfLEAP - causal AI analytics for patient subgroup discovery, biomarker identification, and drug target prioritization
- bfARENAS - structured multi-criteria decision support for high-stakes portfolio, indication, and go/no-go decisions
The Role
Help turn complex biomedical and clinical data into defensible decisions for drug discovery and development.
BullFrog AI is seeking an exceptional Principal Data Scientist with a strong background in biomedical analytics. This is a senior individual contributor role that combines client-facing project leadership with direct contributions to BullFrog's in-house platform - spanning target discovery, patient subtyping, and multimodal data analysis.
Day-to-day work is client-dependent, with each engagement bringing a different analytical challenge. You will be expected to lead from execution and bring scientific rigor, technical depth, and clear communication to every project.
What You'll Do
Client Engagement & Project Leadership
- Own end-to-end analytical workstreams across target discovery, patient subtyping, and multimodal data exploration
- Translate complex data science findings into clear, actionable insights for non-technical stakeholders and senior leadership
- Collaborate effectively with distributed, remote teams to ensure seamless communication and on-time delivery
Technical Delivery
- Design, implement, and optimize AI/ML models using diverse healthcare data types, including omics, claims, and EHR
- Conduct multi-omic analyses such as RNA-seq differential expression, clustering, genomic association analysis, and biomarker discovery
- Implement NLP and LLM solutions tailored to life sciences datasets
- Contribute to the development and refinement of BullFrog's in-house platform capabilities
Requirements
Do you have experience in Technical Proficiency?, * Advanced degree (MS or PhD) in a quantitative field - biology, computer science, engineering, or related, * 5+ years of post-graduate experience in life sciences analytics in pharma, biotech, or consulting
- Demonstrated proficiency in Python; production-quality code in a research or commercial environment
- Hands-on experience with major healthcare data types - omics data required; claims and EHR experience strongly preferred
- Hands-on experience applying LLMs or NLP to real analytical workflows, ideally biomedical or clinical text extraction, summarization, evaluation, or retrieval
- Proven track record of collaborating effectively with remote teams
- Must be legally authorized to work in the United States
Desired Skills
- Prior experience in multi-modal analysis with deep learning
- Causal inference experience - a significant differentiator for this role
- NLP/LLM expertise applied to life sciences and healthcare text
- Strong foundation in data engineering and databases
- Experience with graph-based approaches: feature engineering, ML, and visualization
- Cloud platform experience, particularly AWS or Google Cloud
Who Will Thrive Here
- Intellectually versatile - energized by moving across problem types, data modalities, and scientific domains
- Client-ready - comfortable presenting to and partnering with senior scientific and business stakeholders
- Independently driven - able to scope, execute, and deliver complex analyses without heavy oversight
- Scientifically rigorous - you hold your work to a publication-quality standard even in a commercial environment
- Collaborative by default - remote-first is second nature; you communicate proactively and close loops
Benefits & conditions
Pulled from the full job description
- Parental leave
- Health insurance
- Paid time off
- Vision insurance
- Dental insurance
- Stock options
- Disability insurance, Base salary range: $175,000 - $210,000 per year, based on level of education, years of relevant experience, skills, and location. This role is eligible for performance bonus and equity/stock options, subject to company and plan terms. Benefits include medical, dental, and vision from day one, short-term disability, 401(k) from first paycheck, 15 days PTO, 11 paid holidays annually, and maternity and paternity leave.
BullFrog AI is an equal opportunity employer. We are committed to building a diverse team that reflects the communities and patients our work ultimately serves. Advancing medicine through artificial intelligence.