BullFrog AI
11 - 50 employees
Founded 2017
𧏠Biotechnology
đ¤ Artificial Intelligence
đ Pharmaceuticals
đ° $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.
Principal Computational Biologist
đĽ 1 hour ago
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BullFrog AI
11 - 50 employees
Founded 2017
𧏠Biotechnology
đ¤ Artificial Intelligence
đ Pharmaceuticals
đ° $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.
đ Description
⢠Own the evidence that establishes a ranking is right ⢠Decide what each ranking gets compared against ⢠Bring the scientific grounding to label design ⢠Ensure any ranking that leaves the building can be defended to a scientist ⢠Support commercial and product teams in label investment decisions
đŻ Requirements
⢠PhD in computational biology, bioinformatics, genetics, systems biology, or a closely related quantitative field ⢠5+ years in a relevant field, designing evaluations for ambiguous problems ⢠Deep knowledge of functional genomics or disease biology ⢠Proficiency in Python ⢠Must be legally authorized to work in the United States
đď¸ Benefits
⢠Full benefits from day one including medical, dental, and vision coverage ⢠Short-term disability ⢠401(k) enrollment ⢠15 days of paid time off annually plus 11 paid holidays annually ⢠Maternity and paternity leave
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