Principal Data Scientist

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πŸ”₯ 3 minutes ago

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BullFrog AI

11 - 50 employees

Founded 2017

🧬 Biotechnology

πŸ€– Artificial Intelligence

πŸ’Š Pharmaceuticals

πŸ’° $3.1M Post-IPO Equity - BullFrog AI on 2024-10

Biotechnology β€’ Artificial Intelligence β€’ 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.

πŸ“‹ Description

β€’ Help turn complex biomedical and clinical data into defensible decisions for drug discovery and development β€’ Own end-to-end analytical workstreams across target discovery, patient subtyping, and multimodal data exploration β€’ Translate complex data science findings into clear, actionable insights for non-technical stakeholders and senior leadership β€’ Collaborate effectively with distributed, remote teams to ensure seamless communication and on-time delivery β€’ Design, implement, and optimize AI/ML models using diverse healthcare data types, including omics, claims, and EHR β€’ Conduct multi-omic analyses such as RNA-seq differential expression, clustering, genomic association analysis, and biomarker discovery β€’ Implement NLP and LLM solutions tailored to life sciences datasets β€’ Contribute to the development and refinement of BullFrog’s in-house platform capabilities

🎯 Requirements

β€’ Advanced degree (MS or PhD) in a quantitative field β€” biology, computer science, engineering, or related β€’ 5+ years of post-graduate experience in life sciences analytics in pharma, biotech, or consulting β€’ Demonstrated proficiency in Python; production-quality code in a research or commercial environment β€’ Hands-on experience with major healthcare data types β€” omics data required; claims and EHR experience strongly preferred β€’ Hands-on experience applying LLMs or NLP to real analytical workflows, ideally biomedical or clinical text extraction, summarization, evaluation, or retrieval β€’ Proven track record of collaborating effectively with remote teams β€’ Must be legally authorized to work in the United States

πŸ–οΈ Benefits

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

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