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As of Jun 13, 2026, the average hourly pay for internship access solutions genentech in the United States is $15.54, according to ZipRecruiter salary data. Most workers in this role earn between $12.50 and $17.55 per hour, depending on experience, location, and employer.

What is the difference between Internship Access Solutions Genentech vs Internship Access Solutions Amgen?

AspectInternship Access Solutions GenentechInternship Access Solutions Amgen
Required CredentialsCurrently enrolled students or recent graduates, relevant coursework in biotech or healthcareCurrently enrolled students or recent graduates, relevant coursework in biotech or healthcare
Work EnvironmentFast-paced biotech research and development setting, collaborative teamsBiotech manufacturing and research environment, team-based projects
Employer & Industry UsageUsed by Genentech for biotech internships, industry standard for biotech companiesUsed by Amgen for internship programs, industry standard for biotech firms

Both Internship Access Solutions Genentech and Amgen target students interested in biotech internships, requiring similar educational backgrounds and offering comparable work environments. The main difference lies in the specific company focus—Genentech emphasizes research and development, while Amgen has a broader biotech manufacturing and research scope. Both programs are highly regarded within the biotech industry for providing valuable hands-on experience.

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Infographic showing various Internship Access Solutions Genentech job openings in the United States as of June 2026, with employment types broken down into 10% Locum Tenens, 3% Internship, 8% As Needed, 61% Full Time, 16% Part Time, and 2% Nights. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution, with an average salary of $32,333 per year, or $15.5 per hour.
Senior / Principal Machine Learning Scientist, Scientific Reasoning Models, AI for Drug Discovery

Senior / Principal Machine Learning Scientist, Scientific Reasoning Models, AI for Drug Discovery

Genentech

Manhattan, NY • On-site

Full-time

Posted yesterday

Genentech rating

9.0

Company rating: 9.0 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

7th of 71 rated pharmaceutical

Job description

Job Summary:
Genentech is a leading biotechnology company focused on innovative healthcare solutions. They are seeking a Senior or Principal Machine Learning Scientist to drive the development of internal reasoning Large Language Models for drug discovery tasks, working at the intersection of engineering and research.
Responsibilities:
• Lead the design and evolution of scientific reasoning systems, setting technical direction for model architectures, training strategies, and evaluation methodologies.
• Define and execute approaches to systematically improve model performance on scientific tasks, including long-horizon reasoning and complex decision-making.
• Translate biological and chemical domain knowledge into machine learning objectives, training signals, and evaluation criteria, working closely with domain experts.
• Architect and improve large-scale distributed machine learning systems, ensuring robustness, efficiency, and reproducibility across training and evaluation workflows.
• Partner with researchers and cross-functional teams to move models from research prototypes to production-ready systems that support active discovery programs.
• Translate high-level research goals into robust training code.
• Own the end-to-end integrity of large-scale training runs, from data orchestration to the development of rigorous reasoning benchmarks.
• Act as a technical mentor to junior staff and interns, fostering a culture of engineering excellence and rapid experimentation.
• Help define the long-term technical roadmap for scientific reasoning models, identifying new opportunities and setting priorities across initiatives.
• Architect new initiatives that integrate diverse data modalities, guiding the technical direction of cross-functional projects across gRED.
• Serve as a key technical authority for leadership, influencing how Genentech leverages generative AI to solve high-stakes problems in the therapeutic pipeline.
Qualifications:
Required:
• PhD in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
• For Senior (SE6): 0 – 2+ years of industry or post-doc experience with a focus on deep learning.
• For Principal (SE7): 5+ years of industry or post-PhD experience with a demonstrated track record of technical leadership and project ownership.
• Extensive experience developing and training large-scale machine learning models, including approaches to improve domain understanding, reasoning capabilities, and model alignment.
• A strong history of research excellence at top-tier venues (e.g., NeurIPS, ICLR, ICML).
• Strong software engineering skills and experience designing and operating large-scale or high-performance machine learning systems.
Preferred:
• Experience with molecular modalities (e.g., protein sequences, chemical graphs, and structured molecular data) is highly valued but not required.
• A public portfolio of research or significant contributions to open-source ML libraries.
• A passion for applying frontier AI to drug discovery.
Company:
Genentech is a biotechnology research company that specializes in genetic testing and personalized medicines. Founded in 1976, the company is headquartered in South San Francisco, USA, with a team of 10001+ employees. The company is currently Late Stage.

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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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