Genentech
Postdoctoral Fellow - Computational Biology / Machine Learning, Sterne-Weiler La
Genentech, South San Francisco, California, us, 94083
Overview
We advance science so that we all have more time with the people we love. A postdoctoral fellow is invited to join the Genentech Computational Sciences (gCS) organization, which develops best-in-class computational methods and applies them to relevant scientific problems across all stages of the pipeline. This position is based within the Sterne-Weiler Lab in Computational Biology / Discovery Oncology. The postdoctoral position focuses on developing and applying foundational AI models to investigate clinically relevant cancer vulnerabilities and their relationship with molecular context. Spanning functional genomics and large-scale clinical genomics, the fellow will build and train new models to understand the impact of mutation on protein structure and the role of genomic alterations on cancer cell state. While the role is computational, the project is highly collaborative, with regular interaction with laboratory colleagues in the Discovery Oncology therapeutic area. The Opportunity
Opportunity to work closely with computational colleagues to build, train, and evaluate cutting-edge AI models using large proprietary oncology datasets
Leverage multimodal high-dimensional data to investigate the relationship between heterogeneous cancer alterations and cancer cell states
Exploratory research in a fast-paced setting with the potential for real impact on patients
Technical and scientific mentorship from computational and laboratory colleagues in the development and testing of biological hypotheses
Present at external scientific conferences and publish models and scientific insights in high-impact journals
Who You Are
Ph.D. in Computational Biology, Bioinformatics, Computer Science or Machine Learning related field
Demonstrated proficiency with Python and machine learning libraries (e.g., PyTorch, scikit-learn)
Experience with transformer architectures, interpretable AI methods and libraries, concept-bottleneck architectures, attribution packages (e.g., SHAP, Captum)
Experience with bulk and/or single-cell omics data analysis (e.g., bulk genomics and transcriptomics, single-cell RNA-seq, Perturb-seq)
Demonstrated ability to clearly and effectively communicate about complex bioinformatics problems to technical and non-technical audiences; evidence includes first-author publications in high-impact journals
Independent, highly motivated, and highly collaborative with the ability to work with multidisciplinary teams of computational and laboratory biologists
Preferred Qualifications
Background in cancer genomics and pre- and/or post-training of foundation models for biology (preferred)
Passionate about working in a scientific environment, especially related to drug discovery and development
You have lots of ideas: some good, some great; you are quickly able to prioritize, prototype and pressure-test new ideas to reduce time between iterations
Quick learner, curious about new areas, able to build expertise, and able to take initiative to see ideas implemented
Able to perform at a high level in a fast-changing, demanding environment
Compensation and Benefits
The expected salary range for this position based on the primary location of California is $110,000 to $120,000. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. This position also qualifies for the benefits detailed at the link provided below. Benefits
Relocation benefits are available for this job posting. Genentech Postdoctoral Program
Elevate your research career to new heights with Genentech's Postdoctoral Program. Join a community of early career scientists and start your journey toward becoming a scientific leader in biotechnology and bioengineering. With competitive salaries and fully funded research expenses, you can dedicate yourself to groundbreaking research aligned with Genentech strategic ambitions. The program empowers recent Ph.D. graduates to conduct world-class research, publish in top-tier journals, and build a robust scientific network. You will receive mentorship and support to develop into an independent scientist and leader. The Genentech Postdoc Program provides access to world-class seminars, professional development workshops, and networking opportunities. Apply now to Genentech's Postdoctoral Program and unlock your full potential. Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company’s policy prohibits unlawful discrimination, including but not limited to discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws. If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.
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We advance science so that we all have more time with the people we love. A postdoctoral fellow is invited to join the Genentech Computational Sciences (gCS) organization, which develops best-in-class computational methods and applies them to relevant scientific problems across all stages of the pipeline. This position is based within the Sterne-Weiler Lab in Computational Biology / Discovery Oncology. The postdoctoral position focuses on developing and applying foundational AI models to investigate clinically relevant cancer vulnerabilities and their relationship with molecular context. Spanning functional genomics and large-scale clinical genomics, the fellow will build and train new models to understand the impact of mutation on protein structure and the role of genomic alterations on cancer cell state. While the role is computational, the project is highly collaborative, with regular interaction with laboratory colleagues in the Discovery Oncology therapeutic area. The Opportunity
Opportunity to work closely with computational colleagues to build, train, and evaluate cutting-edge AI models using large proprietary oncology datasets
Leverage multimodal high-dimensional data to investigate the relationship between heterogeneous cancer alterations and cancer cell states
Exploratory research in a fast-paced setting with the potential for real impact on patients
Technical and scientific mentorship from computational and laboratory colleagues in the development and testing of biological hypotheses
Present at external scientific conferences and publish models and scientific insights in high-impact journals
Who You Are
Ph.D. in Computational Biology, Bioinformatics, Computer Science or Machine Learning related field
Demonstrated proficiency with Python and machine learning libraries (e.g., PyTorch, scikit-learn)
Experience with transformer architectures, interpretable AI methods and libraries, concept-bottleneck architectures, attribution packages (e.g., SHAP, Captum)
Experience with bulk and/or single-cell omics data analysis (e.g., bulk genomics and transcriptomics, single-cell RNA-seq, Perturb-seq)
Demonstrated ability to clearly and effectively communicate about complex bioinformatics problems to technical and non-technical audiences; evidence includes first-author publications in high-impact journals
Independent, highly motivated, and highly collaborative with the ability to work with multidisciplinary teams of computational and laboratory biologists
Preferred Qualifications
Background in cancer genomics and pre- and/or post-training of foundation models for biology (preferred)
Passionate about working in a scientific environment, especially related to drug discovery and development
You have lots of ideas: some good, some great; you are quickly able to prioritize, prototype and pressure-test new ideas to reduce time between iterations
Quick learner, curious about new areas, able to build expertise, and able to take initiative to see ideas implemented
Able to perform at a high level in a fast-changing, demanding environment
Compensation and Benefits
The expected salary range for this position based on the primary location of California is $110,000 to $120,000. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. This position also qualifies for the benefits detailed at the link provided below. Benefits
Relocation benefits are available for this job posting. Genentech Postdoctoral Program
Elevate your research career to new heights with Genentech's Postdoctoral Program. Join a community of early career scientists and start your journey toward becoming a scientific leader in biotechnology and bioengineering. With competitive salaries and fully funded research expenses, you can dedicate yourself to groundbreaking research aligned with Genentech strategic ambitions. The program empowers recent Ph.D. graduates to conduct world-class research, publish in top-tier journals, and build a robust scientific network. You will receive mentorship and support to develop into an independent scientist and leader. The Genentech Postdoc Program provides access to world-class seminars, professional development workshops, and networking opportunities. Apply now to Genentech's Postdoctoral Program and unlock your full potential. Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company’s policy prohibits unlawful discrimination, including but not limited to discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws. If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.
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