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Postdoctoral Fellow - Computational Biology / Machine Learning, Sterne-Weiler Lab
Postdoctoral Fellow - Computational Biology / Machine Learning, Sterne-Weiler LabGenentech • San Francisco, CA, United States
Postdoctoral Fellow - Computational Biology / Machine Learning, Sterne-Weiler Lab

Postdoctoral Fellow - Computational Biology / Machine Learning, Sterne-Weiler Lab

Genentech • San Francisco, CA, United States
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The Position

We advance science so that we all have more time with the people we love.

A position is available for a postdoctoral fellow to join the Genentech Computational Sciences (gCS) organization which uses data, by developing best in class computational methods, and applying them to the most 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 is focused 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 postdoctoral 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 this position is computational, the project is highly collaborative, involving 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 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; pytorch, sklearn

Experience with transformer architectures, and interpretable AI methods and libraries, concept-bottleneck architectures, attribution packages : shap, captum, etc.

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 both technical and non-technical audiences; this should be both in written and verbal form, as evidenced by first-author publications in high-impact journals

Independent, highly motivated, and highly collaborative with the ability to work together with multi-disciplinary teams of computational and laboratory biologists

Preferred Qualifications :

Background in cancer genomics and pre- and / or post-training of foundation models for biology is preferred

Passionate about working in a scientific environment, especially one that is 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, are curious about new areas and the opportunity to build expertise, and courageously boldly and creatively take initiative to see your ideas implemented

Able to perform at a high level in a fast changing and demanding environment

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 below.

Benefits

Relocation benefits are available for this job posting.

About Genentech’s Postdoctoral Program

Elevate your research career to new heights with Genentech’s Postdoctoral Program! Join a prestigious community of early career scientists and kick-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 that aligns with Genentech strategic ambitions.

The postdoc program is designed to empower recent Ph.D. graduates to conduct world-class research, publish in top-tier journals, and build a robust scientific network. By joining us, you will receive the mentorship and support necessary 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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Postdoctoral Fellow • San Francisco, CA, United States

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