обновлено 9 дней назад
AI Scientist/Senior, Clinical & Molecular Genomics Modeling, BRAID
127 500 - 236 900$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Scientist/Senior, Clinical & Molecular Genomics Modeling, BRAID (AI/genomics): Developing interpretable machine-learning models that connect heterogeneous molecular, cellular, and clinical data to improve biomarker discovery, clinical decision-making, and trial design with an accent on prognostic, predictive, and pharmacodynamic modeling. Focus on integrating messy genomics and clinical datasets, applying modern AI architectures, defining future data-collection requirements, and deploying models for clinical and computational stakeholders.
Location: South San Francisco, California, United States of America
Salary: AI Scientist $127,500–$236,900 annually; Senior AI Scientist $147,800–$274,400 annually. A discretionary annual bonus may also be available.
Company
, a member of the Roche group and a biotechnology industry pioneer, develops medicines for serious and life-threatening diseases through scientific and computational innovation.
What you will do
- Build innovative AI and machine-learning models to enhance insights from clinical outcome data.
- Connect heterogeneous molecular, cellular, genomics, and clinical data to model prognostic, predictive, and pharmacodynamic biomarkers.
- Integrate messy data from internal and public cohorts into unified, generalizable modeling frameworks.
- Define data-collection requirements for future clinical trial designs.
- Deploy models and support their use by computational researchers and clinical stakeholders.
Requirements
- Ph.D. in Computer Science, Bioinformatics, Computational Biology, or a related quantitative field.
- Proven experience building machine-learning and AI models from scratch.
- Hands-on experience with messy genomics data and/or clinical datasets, including data aggregated from multiple studies.
- Ability to use agentic coding tools to improve the quality and quantity of code and modeling outputs.
- For the Senior AI Scientist level, at least two years of experience building or interpreting ML models for target discovery, biomarker discovery, or clinical decision-making.
Nice to have
- Expertise in modern machine-learning research, such as graph, diffusion, transformer, reinforcement-learning, or multimodal representation-learning models.
Culture & Benefits
- Work within BRAID, a team focused on AI methods for disease biology, target discovery, and translational research.
- Collaborate with clinical and translational research colleagues to support drug-development decisions.
- Benefits are provided according to the company’s applicable benefits program.
- Relocation benefits are not available for this position.
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