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Genentech Scientist Jobs (NOW HIRING)

The Position The Opportunity Genentech is seeking a highly talented, driven and motivated Scientist 3 to investigate novel biological mechanisms and potential therapeutic targets to treat ...

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How much do genentech scientist jobs pay per year?

As of Sep 7, 2026, the average yearly pay for genentech scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is a Genentech Scientist?

A Genentech Scientist is a research professional who conducts innovative scientific studies in biotechnology, pharmaceuticals, and drug development. They work on discovering and developing new therapies, analyzing data, and collaborating with cross-functional teams. Their role may involve laboratory experiments, clinical research, or computational modeling, depending on the specialty. Scientists at Genentech contribute to groundbreaking advancements in medicine to improve patient outcomes.

What types of projects and teamwork can a Genentech Scientist expect to be involved with?

As a Genentech Scientist, you'll often work on cross-functional project teams that bring together experts from disciplines like biology, chemistry, data science, and clinical research to drive drug discovery and development. Projects may range from early-stage target identification to preclinical studies and process optimization. Collaboration and sharing of expertise are highly valued, with regular meetings, progress reviews, and the opportunity to contribute scientific insights. You will also have access to cutting-edge technology and resources, and the chance to expand your research skills as part of Genentech's vibrant scientific community.

What are the key skills and qualifications needed to thrive as a Genentech Scientist?

To thrive as a Genentech Scientist, you need a solid background in the life sciences, strong experimental and data analysis skills, and at least a bachelor's or advanced degree in a relevant scientific field. Familiarity with laboratory automation, data management systems, and specialized software such as PCR or sequencing technologies is typically required. Strong collaboration, effective communication, and problem-solving abilities are key soft skills for this role. These skills are essential to drive innovative research, maintain rigorous scientific standards, and contribute effectively within interdisciplinary teams.

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Cities with the most Genentech Scientist job openings:

What are the most commonly searched types of Genentech Scientist jobs?

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What states have the most Genentech Scientist jobs?

States with the most job openings for Genentech Scientist jobs include:

Infographic showing various Genentech Scientist job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 91% Full Time, 4% Part Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Principal Scientist (Computational Chemistry)

Genentech

South San Francisco, CA • On-site

$144K - $269K/yr

Full-time

Re-posted 5 days ago


Genentech rating

8.8

Company rating: 8.8 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

12th of 86 rated pharmaceutical


Job description

A healthier future. It's what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That's what makes us Genentech!

The Opportunity

We are seeking an exceptional computational chemist to apply cutting-edge computational science, with an emphasis on induced proximity small molecule discovery. The ideal candidate will possess expertise in computational chemistry, collaborating within project teams to discover and advance induced proximity small molecules into clinical candidates. This is a critical role aimed at accelerating our discovery pipeline, optimizing lead candidates, and applying state of the art computational methods.

Key Responsibilities:

  • Advanced Modeling & Prediction: Lead the development and implementation of advanced computational methods, including molecular dynamics and affinity prediction, for ternary complex modeling, ligand discovery, validation and optimization.

  • AI/ML for Drug Discovery: In collaboration with our internal AI for Drug Discovery team, apply advanced AI/ML technologies, including protein-ligand co-folding, generative and active learning models.

  • Provide strategic direction and present scientific findings to internal and external stakeholders and project teams, including wet-lab scientists.

  • Cross-Functional Collaboration: Work closely with Structural Biology, Biochemical Pharmacology, DMPK, Safety/Investigational Toxicity, and other groups. Foster a collaborative environment within project teams to ensure computationally informed and driven decisions. Collaborate with computational scientists across the Drug Discovery organization and in our AI For Drug Discovery group.

Who You Are
  • Ph.D. in Computational Chemistry, Biophysics, or a related field.

  • 0-6 years of relevant post-Ph.D. experience in industry or a research organization.

  • Proven track record of induced proximity discovery or design projects.

  • Deep knowledge of computational chemistry principles and general molecular modeling techniques (e.g., docking, molecular simulation and dynamics, quantum mechanics, ligand- and structure-based design).

  • Proficient in Python or other relevant programming languages.

  • Experience with cloud computing platforms and/or high-performance computing (HPC) environments.

  • Excellent communication and presentation skills, with the ability to convey complex technical concepts to diverse audiences.

  • Ability to work productively and collaboratively in an interdisciplinary fast-paced team environment.

Preferred

  • Familiarity with computational software such as MOE, Schrodinger, OpenEye, and/or Rosetta.

  • Experience in AI/ML applications in the induced proximity space.

  • A strong track record of publication in leading scientific journals and presentations at major conferences.

Relocation benefits are available for this job posting.

The expected salary range for this position based on the primary location of South San Francisco, CA is $144,900 - 269,100. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.

Benefits

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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About Genentech

Sourced by ZipRecruiter

A member of the Roche Group, Genentech has been at the forefront of the biotechnology industry for more than 40 years, using human genetic information to develop novel medicines for serious and life-threatening diseases. Genentech has multiple therapies on the market for cancer & other serious illnesses. Please take this opportunity to learn about Genentech where we believe that our employees are our most important asset & are dedicated to remaining a great place to work.

Industry

Scientific research and development services

Company size

10,000+ Employees

Headquarters location

South San Francisco, CA, US

Year founded

1976

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