Remote Medical Data Annotation Jobs in Lanham, MD

Description

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

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

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