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

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

$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 ...

UCSF

Nayak Lab - Full Specialist

San Francisco, CA · On-site

Nayak Lab - Full Specialist Job #JPF05836 Position Description Full Specialist Microbiome of ... Contribute to data analysis (visualization and statistical analyses in R) and manuscript generation ...

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

$13

$33

$58

How much do lab data analyst jobs pay per hour?

As of Aug 16, 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, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $69,996 per year, or $33.7 per hour.

Senior Scientist, Bio AI

Earli, Inc.

Redwood City, CA • On-site

$112K - $153K/yr

Full-time

Re-posted 6 days ago

Job description

Earli tackles the #1 problem in the $100B cancer drug market: systemic toxicity. On-target/off-tumor effects force suboptimal dosing, reduced efficacy and sidelining some of the most potent drug classes such as cytokines. Earli's BioAI approach flips this paradigm: Drugs are produced only where needed-in the tumor, by the tumor, against the tumor. Cancer cells become their own drug factories, enabling localized immune activation, even in cold tumors.
This was enabled by three core innovations:
  1. Extrahepatic lipid nanoparticles (LNPs) that reach tumors such as lung cancer
  2. AI-designed genetic switches that activate only in malignant cells by sensing transcription factor dysregulation
  3. Local production of immune therapies (TCEs, cytokines, multispecifics) at the tumor site - "produce locally, consume locally"

Together, these technologies create a new biological control layer, allowing tumors to self-identify and trigger their own targeted immune attack-achieving specificity beyond current targeted or IO therapies.
Earli plans to enter the clinic by mid-2027 with a Phase 1/2 lung cancer trial. The company is backed by a16z, Khosla, Perceptive, Alex Gorsky, Marc Benioff, Breyer, Emerson Collective, Sands Capital and others. The SAB includes Jim Allison (Nobel Laureate, MD Anderson), Bob Langer (Co-founder Moderna, MIT), Phil Greenberg (Co-founder Juno), Amy Abernethy (frm. Principal Deputy FDA Commissioner), Bill Hait (former J&J EVP Oncology R&D), and Alan Ashworth (President UCSF Cancer Center). The leadership team brings deep gene therapy, LNP, CMC and tech experience; CEO Cyriac Roeding previously led a $250M (11x return) exit.
Who You Are
  • You share our same sense of dedication, scientific passion and entrepreneurial spirit
  • You work well in a fast-paced and extremely focused startup environment
  • You are not only smart, but clever and constantly think outside the box
  • You are able to make logical decisions in an instant when there is little time to evaluate
  • You are a natural communicator and relationship builder
  • You stay calm under high pressure and stress
  • You have the ability to multi-task in a serious way, with an extreme attention to detail
  • You become a representative of the core DNA of the company through who you are

The Position
Earli Inc. is currently seeking a top caliber Senior Scientist, Bio AI to join our Synthetic Bioengineering team.
Your Primary Responsibilities
  • Leverage cutting-edge ML, bioinformatics, and high-throughput assay data to design cancer-specific synthetic promoters and novel genetic medicines that will directly impact Earli's clinical pipeline.
  • Train generative AI models for designing genetic medicines by leveraging Earli's proprietary Massively Parallel Reporter Assay (MPRA) data as well as external data sets
  • Contribute to wet lab experimental design and data evaluation to benchmark AI model performance against ground truth wet lab data and create a rapid iteration loop
  • Perform routine computational analyses to analyze MPRA and other large experimental datasets using existing packages as well as bespoke analysis where needed. Provide accessible interfaces (e.g. Shiny apps) for routine data analysis (e.g. RNAseq profiling) for team members
  • Perform routine bioinformatic analyses on multi-modal omics data (RNAseq and scRNA-seq, ATAC-seq, proteomics, phospho-proteomics etc.) using individual as well as coherent multi-omic ML-based pipelines to identify key dysregulated targets and pathways in selected cancer indications
  • Routinely deploy code and execute on Earli's infrastructure hosted by Cloud Service Providers (e.g. GCP) with appropriate engineering adaptations as needed. Help develop and work within budgets for GPU usage/compute

Your Required Experience, Knowledge and Skill
  • Master's or PhD degree in a relevant field (bioengineering, computer science, data science, etc.) with a minimum of 3 years of hands-on experience using AI/ML applied to genomic/bioinformatic data using state-of-the-art GenAI models
  • Deep, direct expertise (preferably with high-quality publications) in developing novel GenAI models trained on massive biological data. Hands-on expertise in model training, fine-tuning, and in silico evaluation is a pre-requisite for this role.
  • 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 scientists to generate and curate high-throughput screening data on large libraries of DNA or RNA sequences
  • Proficiency in routine bioinformatic analyses such as differential gene expression, ATAC-seq and RNA-seq analysis, etc.
  • Expert level coding skills in Python and R
  • Basic knowledge of fundamental cancer biology is required. Deep expertise in cancer -omics, biomarkers, targets and pathways is preferred
  • Excellent verbal and written communication as well as interpersonal skills are required
  • Able to multi-task, manage multiple projects simultaneously and work effectively within a team
  • Ability to think independently and fully integrate into a high achieving team environment

The base salary for this position is $205,000-$235,000 per year.
If interested in applying, please attach a CV or have a well-developed LinkedIn profile for us to be able to assess your background.
We look forward to hearing from you!

Apply