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Top Biotech Data Science Jobs in San Francisco, CA
Artificial Intelligence • Big Data • Healthtech • Machine Learning • Analytics • Biotech • Generative AI
The Senior Data Modeler I collaborates with teams to develop clinical data models, ensuring data integration and quality while maintaining knowledge bases for clinical concepts and monitoring performance.
Top Skills:
DbtIcd-10Icd-9LoincPythonRRxnormSnomed Ct
Biotech
As a Bioinformatics Software Engineer, you will develop and improve bioinformatics pipelines for single-cell data, collaborating with teams and enhancing software solutions to streamline data analysis.
Top Skills:
AWSAzureBioinformaticsDockerGCPNumpyPandasPythonScipySingularity
Biotech
The Bioinformatics Data Scientist will analyze data, build pipelines, evaluate tools, and collaborate on product development to enhance DNA synthesis innovations.
Top Skills:
AIBioinformatics ToolsCloud ComputingMachine LearningPython
Healthtech • Biotech
The Head, Innovation Accelerator Data Science leads technical projects in data science, ensuring adherence to best practices and innovation roadmap alignment. This role involves team leadership, technical execution, and collaboration with cross-functional partners.
Top Skills:
PythonPyTorchRScikit-LearnTensorFlowXgboost
Healthtech • Machine Learning • Biotech
Develop ML methods for biological data analysis, collaborate with scientists, integrate diverse data modalities, and drive innovations in disease modeling.
Top Skills:
AWSAzureCloud Computing ServicesPython
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Biotech
The Associate Director of Data Science will lead quality data science initiatives, develop strategies for product quality control, provide analytical insights, and support regulatory compliance in a biotechnology setting.
Top Skills:
JmpPythonRSAS
Healthtech • Biotech • Pharmaceutical
The Senior Scientist in Bioinformatics will analyze clinical biomarker data, perform statistical analysis, and collaborate with teams to support oncology trials.
Top Skills:
LinuxPythonRUnix
Biotech
This role involves leading data science efforts in statistical programming, collaborating on clinical data analyses, and ensuring regulatory compliance while advancing analytical capabilities.
Top Skills:
Agentic AiCdiscGenerative AiMachine LearningPlotlyPythonRSASShiny
Biotech
This internship involves developing machine learning approaches for biological data, designing experiments, collaborating on research, and presenting findings.
Top Skills:
PythonPyTorchTensorFlow
Biotech • Pharmaceutical
The Principal Data Scientist will lead the development of AI-powered data science tools, collaborating with cross-functional teams to enhance clinical research and optimize trials. Responsibilities include designing scalable solutions, ensuring software reliability, and communicating insights effectively.
Top Skills:
AWSAzureDockerGCPGitPythonPyTorchRScikit-LearnTensorFlow
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Top Companies in San Francisco, CA Hiring AI & Machine Learning Roles
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