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Genentech Roche Jobs (NOW HIRING)

Genentech, Inc.

Senior Packaging Engineer

Hillsboro, OR · On-site

$78K - $146K/yr

Link to Roche/Genentech 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 ...

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How much do genentech roche jobs pay per hour?

As of Jul 4, 2026, the average hourly pay for genentech roche in the United States is $51.41, according to ZipRecruiter salary data. Most workers in this role earn between $40.62 and $60.34 per hour, depending on experience, location, and employer.

Is Genentech a good company to work for?

Genentech is considered a reputable employer in the biotech industry, known for its focus on innovation, employee development, and competitive benefits. Employees often cite a collaborative work environment and opportunities for growth, though experiences can vary by role and location.

Does Genentech have remote jobs?

Genentech offers some remote job opportunities, particularly in roles related to research, data analysis, and administrative support. However, the availability of remote positions varies by department and role, and many positions may require on-site presence or hybrid work arrangements. Job seekers should review individual job postings for specific remote work options and requirements.

What are common Genentech job titles?

Common job titles at Genentech include Research Scientist, Clinical Research Associate, Manufacturing Technician, Quality Assurance Specialist, Regulatory Affairs Manager, and Medical Science Liaison. These roles span areas such as research, manufacturing, quality control, and regulatory compliance, often requiring relevant scientific or technical degrees. The company offers positions across various experience levels, from entry-level to senior roles, in a collaborative biotech environment.

What are the key skills and qualifications needed to thrive at Genentech Roche, and why are they important?

To thrive at Genentech Roche, you typically need a strong background in life sciences, biotechnology, or related fields, often supported by relevant degrees or industry experience. Familiarity with research methodologies, laboratory technologies, and data analysis systems such as LIMS or bioinformatics tools is highly valued. Excellent teamwork, adaptability, and strong communication skills help professionals collaborate in a fast-paced, innovation-driven environment. These skills and qualities are crucial for driving scientific discovery, ensuring regulatory compliance, and delivering impactful healthcare solutions.

What is Genentech Roche and what do they do?

Genentech, a member of the Roche Group, is a leading biotechnology company that researches, develops, and manufactures medicines for serious and life-threatening diseases. Headquartered in South San Francisco, Genentech focuses on areas such as oncology, immunology, neuroscience, and other medical fields. As part of Roche, a global healthcare company based in Switzerland, Genentech combines cutting-edge science with a patient-focused approach to deliver innovative therapies. Their work has led to groundbreaking treatments and a strong commitment to scientific advancement.

What is the typical team structure and collaboration style at Genentech Roche?

At Genentech Roche, employees often work in cross-functional teams that bring together experts from research, development, manufacturing, and business operations. Collaboration is highly encouraged through regular meetings, project updates, and knowledge sharing across departments. Team members are expected to contribute their expertise while also learning from others, fostering a culture of innovation and continuous improvement. The company values open communication and often uses collaborative tools and platforms to facilitate efficient teamwork, both in-person and remotely.
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Genentech Roche jobs near you
Infographic showing various Genentech Roche job openings in the United States as of June 2026, with employment types broken down into 98% Full Time, 1% Part Time, and 1% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $106,926 per year, or $51.4 per hour.
Machine Learning Scientist/Senior Machine Learning Scientist - Agents for Applied Small Molecule Dru

Machine Learning Scientist/Senior Machine Learning Scientist - Agents for Applied Small Molecule Dru

Genentech, Inc.

San Francisco, CA • On-site

$160K - $297K/yr

Full-time

Posted 13 days ago

Genentech rating

8.8

Company rating: 8.8 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

10th of 73 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 Roche.
Advances in AI, data, and computational sciences are transforming drug discovery and development. Roche's Research and Early Development organisations at Genentech (gRED) and Pharma (pRED) have demonstrated how these technologies accelerate R&D, leveraging data and novel computational models to drive impact. Seamless data sharing and access to models across gRED and pRED are essential to maximising these opportunities. The new Computational Sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness the transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide.
Join the small-molecule team within AI for Drug Discovery (AI4DD), formerly Prescient Design, at Roche and Genentech's Computational Sciences Center of Excellence as a Machine Learning Scientist / Senior Machine Learning Scientist building agents for applied small-molecule drug design. You will develop autonomous, LLM-driven agentic workflows that orchestrate ML models, physics-based methods, and cheminformatics tools to accelerate discovery, working with world-class chemists and structural biologists.
The Opportunity:
  • Design, build, and apply agentic workflows and ML models for key challenges in small-molecule drug design.
  • Fine-tune foundation models for drug discovery relevant topics using internal and external datasets and tools.
  • Optimize agent-derived hypotheses in close collaboration with world-class computational and medicinal chemists and structural biologists.
  • Drive scientific impact through publications, open-source releases, and conference talks.
  • Collaborate widely with computational and experimental researchers at Roche and with academic partners.

Who you are:
  • You are experienced developing LLM-driven agents for scientific workflows and you understand how to orchestrate tools and models reliably.
  • You bring strong machine-learning foundations in linear algebra, probability and optimization, with hands-on experience with GNNs, sequence/language models and reinforcement learning.
  • You are fluent in Python and modern agentic coding environments such as LangChain, ML frameworks such as PyTorch or JAX, as well as cheminformatics toolkits like RDKit or OpenEye.
  • You hold a PhD or equivalent research depth in machine learning, computer science, chemical engineering or a related quantitative field such as physics or statistics, with up to 2 years of industry research experience (Scientist) or 2+ years of industry research experience (Senior Scientist).
  • You have a record of scientific excellence evidenced by journal and conference publications or a public portfolio of relevant projects (e.g. hosted on GitHub/GitLab)..

Preferred:
  • Hands-on experience orchestrating multi-tool or multi-agent scientific pipelines.
  • Hand-on experience working along the small molecule drug discovery value chain and an excitement to engage with chemists
  • Familiarity with structural biology datasets

If you want to put autonomous AI to work discovering the medicines patients need next, apply now and help build the future of drug design at Roche.
Relocation benefits are NOT available for this opportunity
The expected salary range for this position, based on the primary location of San Francisco, is $147,600 - $274,000 for the ML Scientist, and $167,400 - 310,800 for the Senior ML Scientist. For the primary of location of New York City, $141.100 - $262,100 for the ML Scientist, and $160,100 - 297,300 for the Senior ML Scientist. 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
#ComputationCoE
#tech4lifeComputationalScience
#tech4lifeAI
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

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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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