Principal Data Scientist

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:

• 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

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.

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

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

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. 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.