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Biotech Data Analyst Jobs in California (NOW HIRING)

PBS Biotech

Research Associate Intern

Camarillo, CA · On-site

PBS Biotech, Inc. is a private company based in Camarillo, CA, that manufactures and sells ... analytical development, optimization, and characterization. * Generate and record data from ...

PBS Biotech

Research Associate Intern

Camarillo, CA · On-site

PBS Biotech, Inc. is a private company based in Camarillo, CA, that manufactures and sells ... analytical development, optimization, and characterization. * Generate and record data from ...

PBS Biotech Inc

Senior Scientist

Moorpark, CA · On-site

$131K - $168K/yr

PBS Biotech, Inc. is a private company based in Camarillo, CA, that manufactures and sells ... Mentor junior scientists and research associates in experimental design, data analysis, and cell ...

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All JobsBiotech Data Analyst JobsBiotech Data Analyst Jobs in California

Biotech Data Analyst information

See California salary details

$33.6K

$81.6K

$134.2K

How much do biotech data analyst jobs pay per year?

As of Jul 29, 2026, the average yearly pay for biotech data analyst in California is $81,558.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $95,700.00 per year, depending on experience, location, and employer.

What are typical daily responsibilities for a Biotech Data Analyst?

A typical day for a Biotech Data Analyst involves collecting, cleaning, and analyzing large datasets from biological experiments or laboratory studies. You may use statistical and data visualization tools to identify trends, interpret results, and prepare reports or presentations for scientific and cross-functional teams. Collaboration with researchers, laboratory staff, and software engineers is common to ensure the data supports ongoing projects and regulatory requirements. Additionally, you may stay current on advances in analytical methods to improve workflows and contribute to innovative research initiatives.

What does a Biotech Data Analyst do?

A Biotech Data Analyst collects, processes, and interprets biological and clinical data to support research and decision-making in biotechnology and healthcare. They work with large datasets, applying statistical and machine learning techniques to uncover insights that drive innovation in drug development, genetics, and biomedical research. Their role often involves data visualization, database management, and collaboration with scientists and engineers. Strong analytical skills and proficiency in tools like Python, R, and SQL are essential for success in this role.

What are the key skills and qualifications needed to thrive in the Biotech Data Analyst position, and why are they important?

To thrive as a Biotech Data Analyst, you need a strong background in biological sciences, statistics, and data analysis, often supported by a degree in bioinformatics, biotechnology, or a related field. Familiarity with software tools such as Python, R, SQL, and bioinformatics platforms, as well as experience using data visualization and statistical analysis software, is typically required. Strong attention to detail, effective communication, and problem-solving abilities set top candidates apart. These skills are essential for interpreting complex biological data, ensuring accurate results, and clearly conveying findings to research teams or stakeholders.

What are the most commonly searched types of Biotech Data Analyst jobs in California? The most popular types of Biotech Data Analyst jobs in California are:
What are popular job titles related to Biotech Data Analyst jobs in California? For Biotech Data Analyst jobs in California, the most frequently searched job titles are:
What job categories do people searching Biotech Data Analyst jobs in California look for? The top searched job categories for Biotech Data Analyst jobs in California are:
What cities in California are hiring for Biotech Data Analyst jobs? Cities in California with the most Biotech Data Analyst job openings:
Biotech Data Analyst jobs near you
Infographic showing various Biotech Data Analyst job openings in California as of July 2026, with employment types broken down into 87% Full Time, 8% Part Time, 1% Temporary, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $81,558 per year, or $39.2 per hour.

Data Analyst (Life Sciences Specialist) (Direct hire $125-210k)

Walter Bacon, LLC

San Diego, CA • Remote

Full-time

Posted 7 days ago

Job description

Job Description

Data Analyst (Life Sciences Specialist) (Direct hire $125-210k)

HIGHLIGHTS:

  • Telecommute from anywhere in the US (West Coast preferred)
  • Join a Tenured team of Biotech/Life Sciences Specialists with an excellent reputation in the market.
  • We Specialize in Data Analysis for Go-to-Market Strategies for Life Sciences: Operations, Delivery, Distribution Channels, Market Access
  • Focus on West Coast clients
  • Work on Data Analysis and Strategy projects for prestigious top-tier Biotech companies

IDEAL CANDIDATE:

  • 3+ years consulting to Biotech Companies with regards to: operations, marketing, market access, manage markets, pricing, forecasting, distribution.
  • Bachelor's Degree required
  • Strong Data Analytics skills
  • Previous Business Analyst or Project Management experience
  • Can manage a few projects at a time.
  • Attention to detail
  • Enjoys researching and interpreting data
  • Excellent Powerpoint and Excel skills
  • Excellent verbal presentation skills,
  • Very personable, gets along well with all types of people
  • Ok with travel to clients on the West Coast (20%)

Preferred company experience:

  • Life Sciences consulting with the following companies:
  • Cap Gemini
  • Deloitte
  • Accenture
  • Slalom Consulting
  • QuintilesIMS
  • IMS Health
  • IMS Invision
  • Symphony Health
  • Bain
  • Campbell Alliance
  • ZS Associates
  • Hers Spiegel
  • Zitter Associates
  • ICON
  • Compass Strategic Consulting
Additional Information

All your information will be kept confidential according to EEO guidelines.

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