ZipRecruiter

Log In

1

Machine Learning Biology Jobs in California (NOW HIRING)

Freenome

Staff Machine Learning Scientist

Brisbane, CA · On-site

$199K - $283K/yr

Independently pursue cutting edge research in AI applied to biological problems (including cancer ... machine learning, deep learning and complex data modeling. * Practical and theoretical ...

Freenome

Staff Machine Learning Scientist

Brisbane, CA · On-site +1

$199K - $283K/yr

Independently pursue cutting edge research in AI applied to biological problems (including cancer ... machine learning, deep learning and complex data modeling. * Practical and theoretical ...

previous pagenext page

Showing results 21-40

All JobsMachine Learning Biology JobsMachine Learning Biology Jobs in California

Machine Learning Biology information

See California salary details

$22.7K

$51.5K

$73.5K

How much do machine learning biology jobs pay per year?

As of Aug 7, 2026, the average yearly pay for machine learning biology in California is $51,506.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,400.00 and $59,700.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals working in machine learning biology?

Professionals in Machine Learning Biology often deal with challenges such as handling large and complex biological datasets, integrating heterogeneous data types (like genomics, proteomics, or imaging), and addressing the noise and variability inherent in biological data. Interpreting results in a biologically meaningful way and ensuring reproducibility of models can also be complex, requiring close collaboration with experimental scientists. Many teams are cross-functional, so frequent communication with biologists, clinicians, and software engineers is important for project success. While these challenges can be demanding, they also offer opportunities for innovation and significant contributions to scientific discovery or medical advances.

What is a machine learning biology?

A Machine Learning Biology job involves applying machine learning techniques to analyze biological data, such as genomic sequences, protein structures, or medical images. Professionals in this field develop algorithms to identify patterns, make predictions, and derive insights that can advance research in drug discovery, personalized medicine, and biotechnology. These roles typically require expertise in biology, data science, and programming, often using tools like Python, TensorFlow, or scikit-learn.

What are the key skills and qualifications needed to thrive in machine learning biology?

To thrive as a Machine Learning Biology professional, you need expertise in both computational methods (especially machine learning and data science) and a solid understanding of biological sciences, typically supported by an advanced degree in bioinformatics, computational biology, or a related field. Familiarity with programming languages like Python or R, experience using machine learning frameworks (such as TensorFlow or scikit-learn), and working with biological databases are highly valued. Strong analytical thinking, problem-solving abilities, and effective interdisciplinary communication are key soft skills for this position. These competencies are vital for translating complex biological data into actionable insights and advancing research or product development in biotechnology and life sciences.

What are the most commonly searched types of Machine Learning Biology jobs in California? The most popular types of Machine Learning Biology jobs in California are:
What are popular job titles related to Machine Learning Biology jobs in California? For Machine Learning Biology jobs in California, the most frequently searched job titles are:
What job categories do people searching Machine Learning Biology jobs in California look for? The top searched job categories for Machine Learning Biology jobs in California are:
What cities in California are hiring for Machine Learning Biology jobs? Cities in California with the most Machine Learning Biology job openings:
Machine Learning Biology jobs near you
Infographic showing various Machine Learning Biology job openings in California as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $51,506 per year, or $24.8 per hour.

Senior/Principal Machine Learning Scientist, Perturbation Biology, AI Biology & Translation (AIBT)

Genentech, Inc.

South San Francisco, CA • On-site

$172K - $320K/yr

Full-time

Re-posted 21 days ago

Genentech rating

8.8

Company rating: 8.8 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

11th 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 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 this 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.
The Opportunity
We are seeking a highly motivated and collaborative Senior/Principal Machine Learning Scientist to join the Perturbation Biology group in the Department of AI for Biology & Translation (AIBT) in Genentech Research and Early Development (gRED). The successful candidate will develop the next generation of machine learning models to derive actionable insights from large-scale high-content perturbation experiments for target and drug discovery. This role requires a deep understanding of machine learning applied to sequencing-based perturbation data, a passion for innovation and inter-disciplinary research, and a commitment to improving healthcare outcomes through cutting-edge technology. We are looking for exceptional researchers with a proven ability to develop and implement research ideas. The candidate is expected to lead high profile projects in collaboration with our therapeutic area leads, and to routinely publish work in top-tier machine learning and scientific venues.
In this role, you will:
  • Design and apply predictive machine learning algorithms for lab-in-the-loop perturbation screens for drug and target identification.
  • Work on and integrate a variety of different data modalities such as molecular structures, omics data, images, and text.
  • Collaborate with interdisciplinary and cross-functional teams including biologists, chemists, data scientists, and other stakeholders.
  • Build and scale machine learning techniques to massive datasets and aid in the deployment of novel machine learning algorithms.
  • Publish in top-tier machine learning venues and/or scientific journals, present results at internal and external scientific venues, conferences, and workshops.

Who you are
  • Educational Background: PhD degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics) or in the physical or life sciences (e.g., Chemistry, Biology) with a strong quantitative focus
  • Experience:
    • Senior ML Scientist 0-2 years of experience post PhD, Principal ML Scientist 2-7 years of experience post PhD
    • Proven track record of developing and applying advanced machine learning models in a research or industry setting.
    • Demonstrated interest in problems across biology and chemistry as applied to the discovery and development of treatments for disease.
  • Technical Skills:
    • Proficiency in scientific programming in Python.
    • Extensive experience with Machine Learning frameworks and libraries (e.g., PyTorch, JAX, Tensorflow).
    • Strong background in statistics, probabilistic modeling and data analysis.
  • Soft Skills: Excellent communication, collaboration, and problem-solving skills.
  • Publications: Strong publication record and experience contributing to research communities, including conferences like NeurIPS, ICML, ICLR, CVPR, ICCV, etc.

Preferred
  • Practical experience in one or more of the following areas:
  • Predictive modeling of perturbation datasets to drive experimental design
  • Predictive modeling and/or generative modeling on molecules and other chemistry applications
  • Multimodal data integration, in particular between multiple measurement modalities and/or clinical patient data

Relocation benefits are NOT available for this job posting.
The expected salary range for this position, based on the location of California, is $147,800 - 274,400 for the Senior ML Scientist, and $172,400 - 320,200 for the Principal 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
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.

What Genentech employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Genentech logo

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

Social media

FacebookTwitter

View All Genentech Jobs

Apply