
Principal Data Scientist
Posted Jul 28

Posted Jul 28
This is a fully remote position, open to applicants in Maryland.
• Assist in transforming intricate biomedical and clinical data into reliable decisions for drug discovery and development.
• Manage comprehensive analytical workflows encompassing target discovery, patient subtyping, and the exploration of multimodal data.
• Convert complex data science results into straightforward, actionable insights for non-technical stakeholders and senior leadership.
• Effectively collaborate with distributed remote teams to guarantee seamless communication and timely delivery.
• Design, implement, and enhance AI/ML models utilizing various healthcare data types, including omics, claims, and EHR.
• Perform multi-omic analyses such as RNA-seq differential expression, clustering, genomic association analysis, and biomarker discovery.
• Deploy NLP and LLM solutions specifically designed for life sciences datasets.
• Contribute to the enhancement and development of BullFrog’s in-house platform capabilities.
• Advanced degree (MS or PhD) in a quantitative discipline — biology, computer science, engineering, or related field.
• Over 5 years of post-graduate experience in life sciences analytics within pharma, biotech, or consulting environments.
• Proven expertise in Python; capable of writing production-quality code in a research or commercial setting.
• Practical experience with major healthcare data types — omics data is essential; experience with claims and EHR is strongly preferred.
• Practical experience in applying LLMs or NLP to actual analytical workflows, preferably in biomedical or clinical text extraction, summarization, evaluation, or retrieval.
• Established history of effective collaboration with remote teams.
• Must possess legal authorization to work in the United States.
• Medical, dental, and vision coverage from the first day of employment.
• Short-term disability insurance.
• 401(k) plan accessible from the first paycheck.
• 15 days of paid time off (PTO).
• 11 paid holidays each year.
• Maternity and paternity leave.
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