Post Doctoral Fellow, Computational Biology/Oncology, Assaf Lab

Genentech; South San Francisco (CA); On-site; USD 110,000 - 120,000; Full time

Job summary

A leading biotechnology company is seeking a Postdoctoral Fellow in Computational Sciences to work on cancer biology using deep clinicogenomics data. The role involves driving scientific innovation and leveraging AI/ML techniques for advanced genomic analysis. Candidates should have a Ph.D. in relevant fields and proficiency in Python or R. This position offers a competitive salary and relocation benefits.

Benefits

Relocation benefits

Qualifications

• Experience in genomics data analysis including epigenetic and transcriptomics data.
• Ability to present complex data to varied audiences.

Responsibilities

• Drive scientific innovation in oncology research using deep clinicogenomics data.
• Build AI/ML techniques for advanced liquid biopsy data.

Skills

Python

R

Communication

AI/ML

Education

Ph.D. in Computational Biology

Ph.D. in Bioinformatics

Ph.D. in Computer Science

Tools

HPC

UNIX

Job description

The Position

We are seeking a talented and highly motivated Postdoctoral Fellow to become part of our dynamic team in the Computational Sciences Department (gCS) within Genentech's Research & Development division (gRED). The successful candidate will work in a highly interdisciplinary environment at the intersection of the Computational Biology, Translational Medicine, and Technology Innovation groups to study cancer biology using deep clinicogenomics data and cutting-edge NGS diagnostics.

The Opportunity:

• Opportunity to drive scientific, analytic, and technical innovation in a community of scientific experts in oncology research and computational biology.
• Dive into clinical and genomics data from thousands of patients to interrogate tumor biology, discover novel targets and biomarkers, and accelerate translational research.
• Build or leverage novel artificial intelligence and machine learning (AI/ML) techniques for advanced liquid biopsy (ctDNA) and tissue transcriptomic (RNA-seq) data to predict patient tumor biology from a simple blood draw.
• Present at external scientific conferences and publish scientific insights in high-impact journals.

Who You Are / Required Qualifications:

• Ph.D. in Computational Biology, Bioinformatics, Computer Science, or related field.
• Proficiency in Python or R, with experience building bioinformatic workflows and documenting code with version control.
• Experience in genomics data analysis, preferably including two or more of the following:
• Epigenetic data (methylation, 5hmc, etc.)
• Chromatin accessibility data (ATAC-seq, fragmentomics, etc.)
• Transcriptomics data (single-cell or bulk RNA-seq)
• Whole genome (WGS), whole exome (WES), or other DNA sequence data
• Liquid biopsy or ctDNA data
• Experience applying AI/ML to problems in computational biology, such as building or using AI/ML workflows, frameworks, or libraries in combination with genomics datasets.
• Excellent communication skills, able to present complex data to varied audiences.
• Highly independent and a quick learner, eager to learn new areas and build expertise.

Preferred Qualifications:

• Practical experience or familiarity with self-supervised learning, representation learning, foundation models, or related machine learning approaches.
• Background in cancer biology, cancer genomics, or clinical data analysis in oncology.
• Preferably a strong publication record or impactful first-author papers.
• Familiarity working with publicly available genomics data and experience in high-performance computing (HPC) and/or UNIX environments is a plus.
• Highly motivated, able to take initiative to implement ideas and execute your vision while maintaining a collaborative mindset.

The expected salary range for this position based on California is $110,000 to $120,000. Actual pay will be determined based on experience, qualifications, geographic location, and other factors permitted by law. This position qualifies for the benefits detailed below.

Benefits

Relocation benefits are available for this role.

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About Genentech's Postdoctoral Program:

Elevate your research career with Genentech's Postdoctoral Program! Join a prestigious 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 focus on groundbreaking research aligned with Genentech's strategic goals.

The program is designed to empower recent Ph.D. graduates to conduct world-class research, publish in top-tier journals, and build a strong scientific network. You will receive mentorship and support to develop into an independent scientist and leader. The program offers access to seminars, professional development workshops, and networking opportunities. Apply now to unlock your full potential!

Genentech is an equal opportunity employer. We promote and treat all employees and applicants based on merit, qualifications, and competence. Discrimination based on protected veteran status, disabilities, or other protected classes is prohibited.

If you need accommodations during the application process due to a disability, please contact us through the Accommodations for Applicants form.