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Biotech Data Analyst Jobs in California (NOW HIRING)

Mammoth Biosciences

Senior Analyst, FP&A

Brisbane, CA · On-site

$110K - $137K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Ability to interpret complex financial data and translate it into actionable insights * Advanced ... Prior experience in the biotechnology or pharmaceutical industry * MBA or CPA * Self-motivated with ...

FUJIFILM Biotechnologies

  • Medical

  • Dental

... biotech and pharma to tackle the world's biggest health challenges.Imagine being part of a team ... Stand up a Data, AI & Analytics Center of Excellence with domain-aligned product squads (M&Q, R&D ...

BIOMARIN PHARMACEUTICAL

Data Scientist 2

Novato, CA · On-site

Through data integration, analytics, and digital transformation initiatives, TOPS enhances process ... Biotech industry. These should be complemented by soft skills including collaboration, clear ...

PBS Biotech

Bioprocess Development Engineer

Camarillo, CA · On-site

$83K - $114K/yr

... Biotech , we are redefining how life-saving therapies are developed and manufactured. Our ... Actively work at the bench to directly support process development and analytical activities ...

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Biotech Data Analyst information

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$33.6K

$81.6K

$134.2K

How much do biotech data analyst jobs pay per year?

As of Aug 12, 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 is a biotech data analyst in biotechnology?

A biotech data analyst in biotechnology is a professional who collects, processes, and interprets biological data to support research and development. They often use statistical tools, programming languages like R or Python, and laboratory data to identify trends, optimize processes, and inform decision-making in biotech companies or research institutions.

How to become a biotech data analyst?

To become a biotech data analyst, typically a bachelor's degree in biology, data science, statistics, or a related field is required. Developing skills in data analysis tools such as R, Python, or SQL, along with understanding biological concepts and gaining experience through internships or projects, can improve job prospects. Some roles may also require knowledge of laboratory processes or biotech software platforms.

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 as a Biotech Data Analyst?

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 August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 2% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $81,558 per year, or $39.2 per hour.

Senior Analyst, FP&A

Mammoth Biosciences

Brisbane, CA • On-site

$110K - $137K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 29 days ago

Job description

OPPORTUNITY
Mammoth Biosciences is looking for a high-agility, system savvy Senior Analyst - FP&A to join our lean finance team. Reporting to the Director, FP&A, you will be the technical lead for our financial planning tools and the primary engine behind our data analysis. This is a high-impact role for a detail-oriented analyst to provide the critical insights needed for executive decision-making.
KEY RESPONSIBILITIES
  • Assist in the preparation and consolidation of the annual operating plan, quarterly forecasts, and long-range models to ensure alignment with corporate goals
  • Serve as the lead power user for Adaptive Insights, responsible for creating budget models, automating data flows, and building/maintaining accurate dashboard reporting
  • Perform detailed financial analysis, provide insights, and prepare monthly reporting packages for functional teams to track spending against budget
  • Partner with the Accounting team during month-end close to prepare accruals and track activities across various projects and cost centers
  • Provide analytical support for growth initiatives including product development, research partnerships/collaborations, and capital expenditure projects
  • Proactively identify opportunities to streamline financial processes and enhance standard product cost analysis
  • Assist with ad hoc projects as needed

REQUIRED QUALIFICATIONS
  • Bachelor's Degree in Finance, Accounting and Business Administration
  • 5 years of relevant experience in budgeting and financial analysis (3 years with a Master's degree)
  • Strong analytical, problem-solving and financial modeling skills
  • Ability to interpret complex financial data and translate it into actionable insights
  • Advanced Excel skills, Google Workspace and MS 365
  • Proficiency in Adaptive Insights including model creation and management, administration, and dashboard reporting
  • Experience with NetSuite and exposure to financial system implementations
  • Solid understanding of US GAAP accounting principles
  • Ability to work onsite as needed

PREFERRED QUALIFICATIONS
  • Prior experience in the biotechnology or pharmaceutical industry
  • MBA or CPA
  • Self-motivated with the ability to manage multiple projects in a fast-paced environment with high attention to detail
  • Excellent verbal and written communication skills with the ability to collaborate with cross functional leads
  • Ability to adapt to changing priorities and deadlines

BENEFITS
  • Company-paid health/vision/dental benefits
  • Unlimited vacation and generous sick time
  • Company-sponsored meals and snacks
  • Wellness, caregiver and ergonomics benefits
  • 401(k) with company matching

$110,000 - $137,000 a year
Actual base salary will be determined by relevant professional experience, applicable skills, and internal equity.
COMPANY
Mammoth Biosciences is a biotechnology company focused on leveraging its proprietary ultracompact CRISPR systems to develop long-term curative therapies, as well as other applications such as decentralized precision diagnostics. Founded by CRISPR pioneer and Nobel laureate Jennifer Doudna and Trevor Martin, Janice Chen, and Lucas Harrington, the company's ultracompact proteins are designed to enable in vivo gene editing in difficult to reach tissues utilizing both nuclease applications and new editing modalities beyond double stranded breaks, including base editing, gene writing, and epigenetic editing. The company is building out its pipeline of potential in vivo gene editing therapeutics and capabilities and has partnerships with leading pharmaceutical and biotechnology companies to broaden the reach of its innovative and proprietary technology. Mammoth's deep science and industry experience, along with a robust and differentiated intellectual property portfolio, have enabled the company to further its mission to transform the lives of patients and deliver on the full promise of CRISPR technologies.
It is our policy and intent to provide equal opportunity to all persons without regard to race, color, religion, political affiliation, sex/gender (including gender expression/identity, pregnancy, childbirth and related medical conditions), marital status, registered domestic partner status, sexual orientation, age, ancestry, national origin, veteran status, disability, medical condition, genetic characteristics, and/or any other basis protected by law. This policy covers all facets of employment including, but not limited to: recruitment, selection, placement, promotions, transfers, demotions, terminations, training, and compensation.
Mammoth Biosciences requires that all employees be vaccinated against COVID as a condition of at-will employment, with exceptions for medical or religious reasons in compliance with local, state, and federal law.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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