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AI Scientist/Senior, Clinical & Molecular Genomics Modeling, BRAID

127 500 - 236 900$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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

hirify.global, 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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