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Lab Data Analyst Jobs in Berkeley, CA (NOW HIRING)

Merge

Data Scientist, Bioengineering

San Francisco, CA · On-site

$140 - $230/hr

Merge Labs is a frontier research lab with the mission of bridging biological and artificial ... rigorous data-analysis pipelines that surface actionable insights for experimental and ...

Earli, Inc.

Senior Scientist, Bio AI

Redwood City, CA · On-site

$112K - $153K/yr

An expert level of competence in data analysis on large and complex empirical data, such as MPRA data, multi-modal omics data, etc. * Familiarity with and prior experience collaborating with wet lab ...

Fisica, Inc

Pulsed Power Engineer

San Leandro, CA · On-site

$178K - $185K/yr

The ideal candidate enjoys participating in a project from start to finish, from design to hands-on work in a lab, data analysis, and pushing the prototype to manufacturing and productization. This ...

Fisica, Inc.

Pulsed Power Engineer

San Leandro, CA · On-site

$132 - $245/hr

The ideal candidate enjoys participating in a project from start to finish, from design to hands‑on work in a lab, data analysis, and pushing the prototype to manufacturing and productization. This ...

Fisica, Inc

Pulsed Power Engineer

San Leandro, CA · On-site

$132K - $245K/yr

The ideal candidate enjoys participating in a project from start to finish, from design to hands-on work in a lab, data analysis, and pushing the prototype to manufacturing and productization. This ...

Pave

Data Scientist

San Francisco, CA · On-site

$190/hr

Support Pave's data products, including Pave Data Lab and Market Data, with research, analysis, and special projects that keep our content fresh and differentiated * Evangelize Pave's compensation ...

Abundant

Research Product Manager (RPM)

San Francisco, CA · On-site

$150 - $210/hr

RPMs design and implement model capabilities, either as part of an AI lab, data lab, or other ... Perform literature review : headroom analysis, identifying recent work in academic and industry ...

abundant

Research Product Manager (RPM)

San Francisco, CA · On-site

$150K - $210K/yr

RPMs design and implement model capabilities, either as part of an AI lab, data lab, or other ... Perform literature review : headroom analysis, identifying recent work in academic and industry ...

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All JobsLab Data Analyst JobsLab Data Analyst Jobs in Berkeley, CA

Lab Data Analyst information

See Berkeley, CA salary details

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How much do lab data analyst jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for lab data analyst in Berkeley, CA is $33.65, according to ZipRecruiter salary data. Most workers in this role earn between $24.13 and $40.05 per hour, depending on experience, location, and employer.

What does a lab data analyst do?

A Lab Data Analyst is responsible for collecting, processing, and analyzing data generated in a laboratory setting. They ensure data accuracy, interpret results, and generate reports to support research, quality control, or regulatory compliance. Their role often involves working with lab instruments, databases, and statistical software to identify trends and insights. Additionally, they collaborate with scientists, engineers, and other professionals to improve processes and ensure data integrity.

What does a typical workday look like for a lab data analyst?

A typical day for a Lab Data Analyst involves collecting, processing, and analyzing laboratory data to ensure accuracy and compliance with quality standards. You'll collaborate closely with laboratory technicians and scientists to interpret results, generate reports, and provide data-driven insights for ongoing projects or research. Most of your time will be spent working with digital data systems and reviewing results, but you may also be involved in troubleshooting data discrepancies or optimizing data workflows. The role is dynamic and often requires balancing multiple tasks, such as participating in team meetings, documenting findings, and supporting process improvements.

What are the key skills and qualifications needed to thrive as a lab data analyst, and why are they important?

To thrive as a Lab Data Analyst, you need strong analytical skills, attention to detail, and a degree in a relevant field such as biology, chemistry, or data science. Familiarity with laboratory information management systems (LIMS), statistical analysis software, and data visualization tools like Excel or Tableau is typically required, and certifications in data analysis are a plus. Excellent problem-solving abilities, communication skills, and the capacity to work collaboratively with scientists and technicians will help you stand out. These competencies ensure accurate data interpretation, effective reporting, and successful teamwork within laboratory environments.

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

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

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

Cities near Berkeley, CA with the most Lab Data Analyst job openings:

Lab Data Analyst jobs near you
Infographic showing various Lab Data Analyst job openings in Berkeley, CA as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $69,996 per year, or $33.7 per hour.

Data Scientist, Bioengineering

Merge Labs

San Francisco, CA • On-site

$120K - $200K/yr

Full-time

Posted 23 days ago

Key responsibilities

  • Collaborate with wet-lab scientists to define optimization objectives, metrics, and encode domain-specific priors for computational modeling.

  • Develop data-analysis pipelines that transform raw biological data into actionable insights for experimental and computational researchers.

  • Work with ML researchers to develop and run ML pipelines that enable de-novo design and active learning cycles in bioengineering domains.

Job description

Merge Labs is a frontier research lab with the mission of bridging biological and artificial intelligence to maximize human ability, agency and experience. We're pursuing this goal by developingfundamentally new approaches to brain-computer interfaces that interact with the brain at high bandwidth, integrate with advanced AI, and are ultimately safe and accessible for anyone to use.
About the team
Merge is building the next generation of brain-computer interfaces by combining recent advances in synthetic biology, neuroscience, AI, and non-invasive imaging. To support this mission, we are building a cross-functional data-science group which sits at the intersection of computational modeling, neuroscience, and biomolecular engineering. This group collaborates extensively with wet-lab scientists, automation engineers, and data engineers to create ML frameworks that accelerate molecule discovery and device optimization.
About the role
We need a Data-Scientist who can sit at the interface of Ultrasound, synthetic-biology, and research platforms (imaging, sequencing) and drive the development of rigorous data-analysis pipelines that surface actionable insights for experimental and computational researchers alike. This person will collaborate with domain experts in ML, Ultrasound, synthetic biology, and data-engineering to develop data-analysis pipelines that transform "raw" data into actionable artifacts. This person will subsequently collaborate with ML researchers to develop and run ML pipelines that enable de-novo design and closed-loop active learning cycles across a number of problem domains in bioengineering (delivery, immunology, synthetic biology, protein-engineering).
In this role, you will:
  • Collaborate with wet-lab scientists to define tractable optimization objectives and metrics, and encode domain specific priors and constraints for downstream computational modeling.
  • Stay current with research in Synthetic Biology and ML-guided molecular and cellular engineering, as well as data-analysis methods and techniques for biological data (OMICS, Agentic-workflows).
  • Contribute to the long-term research roadmap and serve as a thought-leader for scientists.

You might thrive in this role if you have:
  • Deep grounding in synthetic biology, molecular engineering, and computational methods for data-analysis.
  • Experience in biomolecular ultrasound.
  • Familiarity with fundamental concepts in NGS, Omics, ML, and molecular engineering.
  • Proficiency in Python / PyTorch / BoTorch / Pyro and comfort writing clean, reproducible production grade code.
  • Experience bridging machine learning and experimental science, especially working with sparse, noisy, and or high-cost data.

If you're excited about this role but don't meet every qualification, please apply. As we build, we're hiring for complementary strengths to form a high-impact team.
For more information about hiring at Merge, please visit our Hiring FAQ
Merge Labs does not discriminate on the basis of race, color, religion, national origin, age, sex, sexual orientation, gender, gender identity, gender expression, marital status, physical or mental disability, medical condition, genetic information, family status, ancestry, citizenship, U.S. military (state and federal) and veteran status, or any other legally protected status. It is our intention that all applicants be given equal opportunity and that selection decisions are based on job related factors. We are an equal opportunity employer.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@merge.io.

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