Postdoctoral Fellow - Multimodal Technologies & Complex Human Models, Regev and Chen Labs

Genentech

San Francisco (CA)

On-site

USD 100,000 - 107,000

Full time

30 hours ago
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Benefits offered by this job

Relocation benefits

Job summary

Genentech in San Francisco, CA, is seeking a Postdoctoral Fellow to develop single-cell and spatial omics platforms that accelerate target discovery in human in vitro models. You will design scalable assays, perform multimodal screens, and collaborate with computational biologists to interpret complex datasets.

The role combines hands-on experimentation with state-of-the-art AI-driven analysis in a dynamic, interdisciplinary team.

Qualifications

  • Ph.D. with a track record in single-cell genomics or spatial-omics and hands-on experimental experience.
  • Strong publication record (first-author) in leading journals or bioRxiv.
  • Experience with complex mammalian cell culture and 3D models is a plus.
  • Fluent Python for data analysis and computational collaboration.

Responsibilities

  • Develop novel assays to measure molecular, imaging and functional readouts in in vitro models.
  • Design and execute multimodal screens to probe disease mechanisms.
  • Collaborate with AI scientists to integrate multimodal data and build predictive models.
  • Work across labs to disseminate findings and contribute to publications.

Skills

Single-cell genomics
Spatial-omics
Imaging
Bioengineering
Biophysics
Quantitative biology
Python programming

Education

Ph.D. in a related field

Tools

Python
R

Job description

The Position

Why Genentech

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


A Postdoctoral Fellow position is available for a highly motivated and independent scientist to develop novel single cell and spatial omics platforms to screen next generation complex human in vitro models in order to accelerate target discovery. The candidate will develop new experimental and computational methods to characterize cellular responses to perturbations and generate high-dimensional datasets that enable a deeper understanding of disease biology.

This is a hands-on position for a scientist passionate about assay development as well as engaging in state-of-the-art computational tools, including and especially AI. You will join a collaborative, cross-disciplinary environment and will have the opportunity to contribute to high-impact scientific publications.


The Opportunity:
  • Novel Assay Development: Develop scalable measurement tools to acquire molecular, imaging and functional readouts from perturbation studies in in vitro complex models
  • Large-Scale Screening: Design and execute multimodal functional genomics screens to investigate mechanisms underlying disease cellular and tissue states.
  • Computational Methods: Collaborate with computational biologists and AI scientists to develop approaches for integrating and interpreting multimodal data, and explore predictive modeling strategies to power Lab-in-the-Loop.
  • Collaborative Research: Collaborate productively with experimental and computational scientists across labs and departments, present your work to project teams, and contribute to high-impact scientific publications.
  • Professional Development: Join Genentech’s postdoctoral training program, which provides an outstanding environment and the opportunity to pursue fundamental scientific questions while building methods that drive breakthrough discoveries in drug development.

Who You Are:
  • Ph.D. with a proven track record of excellence in single-cell genomics, spatial-omics, imaging, bioengineering, biophysics, quantitative biology, or a related field, with hands-on experimental expertise.
  • Must have advanced at least one key research project as evidenced by a first-author paper published or accepted in a leading peer-reviewed journal, or on Biorxiv.
  • Strong hands-on experience in molecular biology, functional genomics, single-cell genomics, and/or spatial-omics
  • Experience with complex mammalian cell culture, with experience in iPSC-cell models, organoids or 3D cultures a plus
  • Computational experience spanning single cell genomic or spatial data analysis, with a track record of programming fluently in Python or a comparable language.
  • Independent scientist with outstanding communication skills, a strong passion and commitment to science, who works well within a team.

Postdoc 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.

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.


The expected salary range for this position based on the primary location of California is $100,000 to $106,500 .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.


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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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