Principal Data Scientist

BullFrog AI

Principal Data Scientist with expertise in biomedical analytics at BullFrog AI. Leading analytical work in drug discovery and client engagement with pharmaceutical and biotech companies.

Posted 7/28/2026full-timeRemote • Maryland • 🇺🇸 United StatesLead💰 $175,000 - $210,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in translating complex biomedical data into actionable insights, with a strong focus on AI/ML model design and implementation using diverse healthcare data types. Proven ability to collaborate with remote teams and deliver results in life sciences analytics.

Highest-signal resume keywords

Python ProficiencyAI/ML Model DesignNLP and LLM ImplementationMulti-Omic AnalysisLife Sciences Analytics Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisOmics Data HandlingRNA-seq Differential ExpressionGenomic Association AnalysisBiomarker DiscoveryClustering TechniquesBiomedical Text ExtractionSummarization TechniquesEvaluation and RetrievalProduction-Quality Code

Soft Skills

Effective CollaborationClear Communication

Tools & Technologies

EHR SystemsClaims DataBullFrog Platform

Industry Keywords

Life SciencesPharmaBiotechConsultingHealthcare Data

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Help turn complex biomedical and clinical data into defensible decisions for drug discovery and development
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
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

What you’ll need

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

Benefits

Comp & perks

medical, dental, and vision from day one
short-term disability
401(k) from first paycheck
15 days PTO
11 paid holidays annually
maternity and paternity leave