11 дней назад
Director / Senior Director, Lab-in-the-Loop (AI)
261 500 - 445 800$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Director / Senior Director, Lab-in-the-Loop (AI): Leading closed-loop experimental systems and rigorous model-output validation for machine-learning-driven biology, with an accent on perturbation experiments, multimodal data generation, and in vitro and in vivo model systems. Focus on designing experiments that reduce model uncertainty, connecting wet-lab and computational teams, and scaling experimental-computational feedback loops.
Location: San Francisco Bay Area, CA; San Diego, CA
Salary: Director — $261,500–$340,200 depending on location; Senior Director — $305,800–$445,800 depending on location.
Company
is a biotechnology research company focused on restoring cell health and resilience through cell rejuvenation.
What you will do
- Lead closed-loop experimental systems that generate data for training and validating large-scale biological foundation and hybrid models.
- Direct experimental verification of model outputs, including target hypotheses and in silico perturbation predictions.
- Partner with machine learning leads to make model outputs experimentally testable and feed results back into model improvement.
- Design ML-first experiments across in vitro and in vivo systems to reduce uncertainty and improve model identifiability.
- Build new model systems, define standards for experimental design and metadata capture, and guide laboratory automation.
- Make build-versus-buy decisions, manage CRO and vendor relationships, plan experimental budgets, and lead matrixed cross-functional teams.
Requirements
- PhD in machine learning, computer science, computational biology, bioinformatics, or a related quantitative field.
- Director level: typically 10+ years of experience and 4–5+ years in people management; Senior Director level: typically 14+ years and 7–8+ years of people or team leadership.
- Deep hands-on experience designing large-scale perturbation or functional genomics experiments for computational modeling.
- Working fluency in machine learning concepts relevant to biological data and the ability to collaborate technically with ML leads.
- Experience building and scaling experimental-computational feedback loops, leading technical teams, and influencing in matrix organizations.
- Experience with build-versus-buy decisions, CROs, external vendors, and experimental design for in vitro and in vivo systems.
Nice to have
- Experience with robotics and automation in wet-lab environments.
- Experience driving multiple multidisciplinary programs in a biotech or AI-driven life sciences environment.
Culture & Benefits
- Work in a multidisciplinary environment with scientists and industry leaders from around the world.
- Focus on belonging, collaboration, scientific excellence, learning, and inclusion.
- Equal employment opportunities are provided without discrimination or harassment.
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