Top Biotech Data Science Jobs in San Francisco Bay Area, CA
Lead team projects and conduct bioinformatics analyses to solve complex scientific problems. Provide technical leadership and collaborate across teams. Mentor junior members of the team.
The Staff Machine Learning Scientist will be responsible for developing generative AI applications for healthcare, collaborating with cross-functional teams, conducting healthcare-focused research, and designing and implementing generative AI models for healthcare scenarios.
The Lead Data Specialist will supervise a team within Data Management, manage day-to-day operations, and interact with internal study teams and external end users to maintain exceptional database integrity.
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Join Altos Labs as a Senior Scientist in the Development Sciences team, contributing to novel therapeutic projects and pipelines focusing on cell health and disease reversal. Responsibilities include supporting DMPK strategy, collaborating with external providers, and contributing to regulatory documents. Requires a PhD in Pharmaceutical Sciences with 6+ years of industry experience in DME/PK and/or Bioanalysis.
Seeking a computational biologist / statistician to collaborate with the proteomics team and scientists in basic and translational research. Responsible for developing data analysis strategies, maintaining proteomics algorithms and software tools, and generating biological insights from experimental data.
Invitae is seeking a Clinical Laboratory Scientist II to perform high complexity diagnostic testing on patient specimens across various molecular assays and platforms. Responsibilities include specimen processing, data analysis, quality control procedures, and compliance with laboratory requirements. The role requires attention to detail, strong communication skills, and the ability to work independently and within a team environment. Onsite work in San Francisco with possible overtime.
Top Companies in San Francisco, CA Hiring Data + Analytics Roles
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