Principal Data Scientist

Job not on LinkedIn

🕒 July 28

🦀 Maryland – Remote

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💵 $175k - $210k / year

⏰ Full Time

🔴 Lead

📊 Data Scientist

👻 Ghost score 4%

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Logo of BullFrog AI

BullFrog AI

11 - 50 employees

Founded 2017

🧬 Biotechnology

🤖 Artificial Intelligence

💊 Pharmaceuticals

💰 $3.1M Post-IPO Equity - BullFrog AI on 2024-10

Biotechnology • Artificial Intelligence • Pharmaceuticals

BullFrog AI is an AI-driven life sciences company that builds platforms to transform raw, fragmented biomedical data into clean, harmonized, AI-ready assets and to generate biological insight for drug discovery. Its products include bfPREP, an AI-powered data preparation platform for clinical trial, multi-omics, and clinical datasets, and bfLEAP, an AI/ML multi-omics insight platform that identifies patient subgroups, biomarkers, novel drug targets, and disease mechanisms. The company also highlights a CNS target-discovery drug pipeline and tools to support indication selection, trial design, and portfolio prioritization.

📋 Description

• 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

• 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

• 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

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