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Internship Biotech Data Analyst Jobs in San Rafael, CA

Menlo Ventures

Data Analyst

Oakland, CA · On-site

$120 - $172/hr

Up to 4 years of experience (including internships) turning large datasets into actionable business ... to data analysis problems. * Understanding of fundamentals of relational databases and data ...

Doist

Marketing Data Analyst - Contractor

San Francisco, CA · On-site

$90 - $130/hr

We are rebuilding biotech for the AI era. When a breakthrough is delayed, the world waits. Getting ... We're looking for a mid-level marketing data analyst for a focused 6-month engagement embedded with ...

New

Benchling

Marketing Data Analyst - Contractor

San Francisco, CA · On-site

$101K - $126K/yr

We are rebuilding biotech for the AI era. When a breakthrough is delayed, the world waits. Getting ... We're looking for a mid-level marketing data analyst for a focused 6-month engagement embedded with ...

Bayer

CMC Statistician

Berkeley, CA · On-site

$165K - $185K/yr

... analyses & data mining; develop & test experimental designs, sampling techniques, and analytical methods; query large sets of structured & unstructured biological and biotechnology data from ...

Bayer Inc.

CMC Statistician

Berkeley, CA · Hybrid

$165K - $185K/yr

... analyses & data mining; develop & test experimental designs, sampling techniques, and analytical methods; query large sets of structured & unstructured biological and biotechnology data from ...

Bayer AG

CMC Statistician

Berkeley, CA · On-site

$165 - $185/hr

... analyses & data mining; develop & test experimental designs, sampling techniques, and analytical methods; query large sets of structured & unstructured biological and biotechnology data from ...

Bayer

CMC Statistician

Berkeley, CA · Hybrid

$165K - $185K/yr

... analyses & data mining; develop & test experimental designs, sampling techniques, and analytical methods; query large sets of structured & unstructured biological and biotechnology data from ...

Benchling

Data Engineer

San Francisco, CA · On-site

$153K - $207K/yr

... analytics tools such as Salesforce. * Exposure to AI-usage telemetry, LLM observability data, or supporting AI/ML tooling with curated data. * Background in enterprise SaaS, life sciences, or biotech.

EV Realty

Intern, Data Analytics

San Francisco, CA · On-site

The Role As a Data Analytics Intern you will help build and maintain various analytics tools and ... This position is a summer internship. The ideal candidate will be a self-starter, a natural problem ...

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All JobsBiotech Data Analyst JobsInternship Biotech Data Analyst JobsInternship Biotech Data Analyst Jobs in San Rafael, CA

Internship Biotech Data Analyst information

See San Rafael, CA salary details

$13

$25

$46

How much do internship biotech data analyst jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for internship biotech data analyst in San Rafael, CA is $25.09, according to ZipRecruiter salary data. Most workers in this role earn between $19.28 and $27.31 per hour, depending on experience, location, and employer.

What does an internship biotech data analyst do?

An Internship Biotech Data Analyst supports research and development teams in biotechnology companies by collecting, processing, and analyzing complex biological data. They use statistical tools and software to interpret experimental results, identify trends, and help drive decision-making in projects such as drug discovery, genomics, or clinical trials. Interns often work alongside experienced data analysts and scientists, gaining hands-on experience with real-world datasets and contributing to ongoing research efforts.

What types of projects or data sets might I work with as an internship biotech data analyst?

As an Internship Biotech Data Analyst, you can expect to work with real-world biological or clinical data, such as genomic sequences, protein structures, or patient trial results. Projects often involve cleaning, analyzing, and visualizing these datasets to support research or product development. You'll likely collaborate closely with scientists, senior analysts, and sometimes software engineers to interpret findings and present actionable insights. This hands-on experience not only strengthens your technical skills but also helps you understand how data analysis drives innovation in the biotech industry.

What are the key skills and qualifications needed to thrive as an internship biotech data analyst, and why are they important?

To thrive as an Internship Biotech Data Analyst, you need a foundation in biology or biotechnology, statistical analysis, and data interpretation, typically gained through coursework or relevant internships. Familiarity with data analysis tools such as Python, R, Excel, and experience with bioinformatics databases or platforms like BLAST is highly beneficial. Strong attention to detail, problem-solving abilities, and effective communication skills make candidates stand out in this role. These competencies are crucial for accurately analyzing complex biological data, supporting research projects, and conveying findings to multidisciplinary teams.

What is the difference between Internship Biotech Data Analyst vs Biotech Data Scientist?

AspectInternship Biotech Data AnalystBiotech Data Scientist
Required CredentialsEnrolled in or recent graduate of related degree (e.g., biology, bioinformatics, data analysis)Advanced degree (Master's or PhD) in data science, bioinformatics, or related fields
Work EnvironmentInternship setting in biotech or pharmaceutical companies, labs, or research institutionsFull-time role in biotech firms, research centers, or biotech startups
Employer & Industry UsageUsed for entry-level training, skill development, and gaining industry experienceUsed for advanced data analysis, modeling, and research projects

The Internship Biotech Data Analyst is an entry-level position focused on gaining practical experience in biotech data analysis, often requiring relevant coursework or a recent degree. In contrast, a Biotech Data Scientist typically holds advanced degrees and performs complex data modeling and research tasks. The internship provides foundational skills, while the data scientist role involves more specialized expertise and responsibilities.

Can a biotechnology student become a data analyst?

Yes, a biotechnology student can become a data analyst by developing skills in data management, statistical analysis, and tools like Excel, SQL, or Python. Gaining knowledge of data visualization and relevant industry applications can also improve job prospects in biotech data analysis roles.

How do I get an internship at a biotech data analyst?

To secure an internship as a biotech data analyst, candidates should have a strong background in biology, data analysis, and programming languages like Python or R. Gaining experience through relevant coursework, certifications, or projects, and applying to internships via company websites or job portals, can improve chances. Strong analytical skills and familiarity with biotech databases and tools are also beneficial.

What are popular job titles related to Internship Biotech Data Analyst jobs in San Rafael, CA?

For Internship Biotech Data Analyst jobs in San Rafael, CA, the most frequently searched job titles are:

What job categories do people searching Internship Biotech Data Analyst jobs in San Rafael, CA look for?

The top searched job categories for Internship Biotech Data Analyst jobs in San Rafael, CA are:

What cities near San Rafael, CA are hiring for Internship Biotech Data Analyst jobs?

Cities near San Rafael, CA with the most Internship Biotech Data Analyst job openings:

Internship Biotech Data Analyst jobs near you
Infographic showing various Internship Biotech Data Analyst job openings in San Rafael, CA as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $52,179 per year, or $25.1 per hour.

Data Analyst

Menlo Ventures

Oakland, CA • On-site

$120 - $172/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago

Key responsibilities

  • Transform large datasets into actionable metrics and attributes using SQL and Spark.

  • Explore and develop repeatable methods for mining insight from large unstructured datasets, leveraging tools such as Jupyter notebooks, Looker, and Heap.

  • Advise business teams on implementing scalable, robust telemetry and analytics tracking.

Job description

Everlaw is seeking a Data Analyst to transform raw data into actionable insights. This full‑time, exempt position is located onsite in Oakland, California, with a hybrid schedule of three days per week in the office.

Responsibilities
  • Familiarize yourself with our technologies, workflows, and codebase through extensive training and product certification.
  • Transform large datasets into actionable metrics and attributes using SQL and Spark.
  • Explore and develop repeatable methods for mining insight from large unstructured datasets, leveraging tools such as Jupyter notebooks, Looker, and Heap.
  • Design and surface metrics that are faithful and precise, helping the business understand how to drive those metrics.
  • Build out the data context layer (schemas, metric definitions, institutional knowledge, etc.) to power agentic analytics workflows.
  • Advise business teams on implementing scalable, robust telemetry and analytics tracking.
Qualifications
  • Bachelor’s degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related technical discipline.
  • Up to 4 years of experience (including internships) turning large datasets into actionable business insights.
  • Experience and proficiency in wrangling data using SQL.
  • Experience and proficiency in applying scientific programming languages (Python, R, Julia, etc.) to data analysis problems.
  • Understanding of fundamentals of relational databases and data modeling.
  • Strong foundation of statistical methods and probability theory.
  • Excellent communication and presentation skills, especially in translating technical information to non‑technical audiences.
  • Preferred: Experience working with open‑source analytics tools such as Airflow or DBT.
  • Preferred: Experience working with distributed processing technologies such as Spark or MapReduce.
  • Preferred: Experience applying machine learning or statistical modeling methods to real‑world problems.
  • Familiar with Git or a similar DVCS.
Benefits
  • Salary range $120,000 – $172,000 (base pay subject to change).
  • Equity program.
  • 401(k) retirement plan with company matching.
  • Health, dental, and vision insurance.
  • Flexible Spending Accounts for health and dependent care expenses.
  • Paid parental leave and approximately 80 hours (10 days) of sick leave per year.
  • 17 paid vacation days plus 11 federal holidays.
  • Membership to Modern Health for mental health and wellness.
  • Annual allocation for Learning & Development opportunities and applicable professional membership dues.
  • Company‑sponsored life and disability insurance.

Everlaw is an equal‑opportunity employer. Everlaw prides itself on a diverse workforce and does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We respect the gender and gender identity of our applicants and employees and honor requests for pronouns. It is our policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity, including the California Equal Pay Act. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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