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About BullFrog AI
BullFrog AI (NASDAQ: BFRG) is a computational biology company spun out of the Johns Hopkins Applied Physics Laboratory. We sit at the intersection of AI and drug discovery, building platforms that help pharmaceutical and biotech companies make better, faster decisions across the drug development lifecycle:
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
Technical Delivery
What We’re Looking For
Education
• Advanced degree (MS or PhD) in a quantitative field biology, computer science, engineering, or related
Experience
• 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
What We Offer
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.