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Wet Lab Jobs in Berkeley, CA (NOW HIRING)

BigHat Biosciences

Machine Learning Scientist

San Mateo, CA · On-site

$150K - $200K/yr

Our roboticized high-throughput wet-lab continually adds to our large proprietary datasets, which are piped through a custom LIMS++ data management and orchestration layer to automatically update and ...

New

BigHat Biosciences

Machine Learning Engineer

San Mateo, CA · On-site

$150K - $200K/yr

Our roboticized high-throughput wet-lab continually adds to our large proprietary datasets, which are piped through a custom LIMS++ data management and orchestration layer to automatically update and ...

New

BigHat

Machine Learning Scientist

San Mateo, CA · On-site

$150 - $200/hr

Our roboticized high-throughput wet-lab continually adds to our large proprietary datasets, which are piped through a custom LIMS++ data management and orchestration layer to automatically update and ...

New

BigHat

Machine Learning Engineer

San Mateo, CA · On-site

$150 - $200/hr

Our roboticized high-throughput wet-lab continually adds to our large proprietary datasets, which are piped through a custom LIMS++ data management and orchestration layer to automatically update and ...

New

Predicine

Manager, NGS Lab

Hayward, CA · On-site

$200 - $250/hr

Predicine is seeking an experienced Lab Manager / Senior Manager, NGS Laboratory Operations to lead day-to-day wet laboratory operations and support the continued growth of our NGS programs. This ...

Predicine, Inc

Manager, NGS Lab

Hayward, CA · On-site

Predicine is seeking an experienced Lab Manager / Senior Manager, NGS Laboratory Operations to lead day-to-day wet laboratory operations and support the continued growth of our NGS programs. This ...

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Showing results 21-40

All JobsWet Lab JobsWet Lab Jobs in Berkeley, CA

Wet Lab information

See Berkeley, CA salary details

$15

$27

$41

How much do wet lab jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for wet lab in Berkeley, CA is $27.59, according to ZipRecruiter salary data. Most workers in this role earn between $22.36 and $29.71 per hour, depending on experience, location, and employer.

What is a wet lab?

A Wet Lab job involves conducting experiments that require handling liquids, chemicals, biological samples, or other wet materials in a controlled lab environment. Wet lab scientists and technicians perform tasks such as sample preparation, chemical mixing, and data analysis to support research in fields like biology, chemistry, and medicine. These roles typically require knowledge of lab safety protocols, proper equipment usage, and scientific techniques.

What are the typical daily responsibilities in a wet lab position?

In a Wet Lab position, your daily tasks may include preparing and running experiments, analyzing samples using specialized equipment, maintaining and calibrating instruments, and accurately recording data in lab notebooks or digital systems. You will also be responsible for keeping the lab clean and organized, adhering to safety protocols, and properly storing chemicals and biological materials. Collaboration is common, as you may work with other lab technicians, scientists, or research teams to support ongoing projects. This hands-on role is ideal for those who enjoy problem-solving and actively contributing to exciting scientific advancements.

What are the key skills and qualifications needed to thrive in a wet lab position?

To thrive in a Wet Lab role, you need a solid understanding of laboratory techniques, safety protocols, and scientific methodology, often supported by a degree in biology, chemistry, or a related field. Familiarity with instruments like pipettes, centrifuges, spectrophotometers, and lab management software is typically required, along with knowledge of compliance standards such as GLP or OSHA. Strong attention to detail, problem-solving ability, and effective communication are valuable soft skills for managing experiments and collaborating with teammates. These qualities are essential to ensure accurate results, maintain a safe and organized lab environment, and contribute effectively to research objectives.

What do you do in a wet lab?

A wet lab job involves conducting experiments and research using liquids, chemicals, and biological materials. Tasks often include preparing solutions, handling lab equipment, and following safety protocols to analyze samples and gather data in a controlled environment.

What are popular job titles related to Wet Lab jobs in Berkeley, CA?

For Wet Lab jobs in Berkeley, CA, the most frequently searched job titles are:

What job categories do people searching Wet Lab jobs in Berkeley, CA look for?

The top searched job categories for Wet Lab jobs in Berkeley, CA are:

What cities near Berkeley, CA are hiring for Wet Lab jobs?

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Wet Lab jobs near you
Infographic showing various Wet Lab job openings in Berkeley, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $57,382 per year, or $27.6 per hour.

Machine Learning Scientist

BigHat Biosciences

San Mateo, CA • On-site

$150K - $200K/yr

Full-time

Posted 3 days ago

New

Job description

The role:  We are seeking a creative, ambitious Machine Learning Scientist or Engineer to advance the state of the art in ML-driven therapeutic antibody design.

At BigHat Biosciences our full-stack antibody drug development platform uses AI/ML to drive every stage from discovery to optimization. Our roboticized high-throughput wet-lab continually adds to our large proprietary datasets, which are piped through a custom LIMS++ data management and orchestration layer to automatically update and deploy the latest models. This makes development of complex, net-gen therapeutics 'trivially parallelizable', at a pace which only accelerates as we develop better ML tooling.

You're not interested in just git-cloning the latest NeurIPS pub and swapping out the dataset. Motivated by an enthusiasm for the possibility of addressing unmet patient need, and a curiosity about the underlying biology, you'll apply your top-tier ML skillset to refine and expand this state of the art protein engineering platform. Success will mean not only hands-on methods development, but actively participating in the application of our platform to the accelerated design of new drugs for devastating diseases.

  • Design and implement the next state-of-the-art generative models of antibody sequence and structure, and predictive models of antibody properties, trained on proprietary internal datasets of thousands to millions of antibodies.
  • Develop multi-modality, multi-objective iterative protein sequence optimization approaches to lab-in-the-loop antibody design problems for validation and deployment in our high-throughput wet lab - at BigHat success is only declared upon synthesis of real antibodies with drug-like properties.
  • Develop, refine, and deploy agentic and LLM-driven optimization methods to further automate and accelerate our design-build-test loop.
  • Provide ML expertise and support for ongoing therapeutics programs, directly contributing to the development of new drugs.
  • Collaborate with our engineering team to ensure maximal efficiency in the automated deployment of our latest models and methods.
  • Work closely with an interdisciplinary team of drug developers, wet lab scientists, automation specialists, data scientists, etc. - every therapeutics program at BigHat is heavily interdisciplinary.
  • PhD in ML/CS/EE or relevant scientific discipline, hands on experience developing and applying novel ML methods and a strong quantitative background.
  • Strong competency in Python, familiarity with PyTorch (even without LLMs!) and experience with modern software engineering best practices, including not just agentic/LLM-assisted coding but testing, CI/CD, etc.
  • Excellent communication skills, sufficient biomedical domain knowledge to interact effectively with diverse scientific teams.
  • Energy and ambition - ready to dive into a fast-paced environment and execute across multiple projects.
  • Familiarity with the current state-of-the-art in ML-driven protein engineering
  • Nice-to-haves include experience with de novo design, NGS data, Bayesian optimization, familiarity with antibody biology and drug development, experience training and deploying models on AWS, and publications at major ML conferences.
The salary estimated for this position is $150,000 - $200,000 + bonus + options + benefits. Compensation will vary depending on job-related knowledge, skills, and experience. Actual compensation will be confirmed in writing at the time of the offer.

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