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Biotech Data Science Jobs in Berkeley, CA (NOW HIRING)

Benchling

Data Engineer

San Francisco, CA · On-site

$153K - $207K/yr

Benchling is the AI platform for biotech R&D. Scientists use Benchling to design experiments, capture structured data, and run AI agents and models directly in their workflows. Over 200,000 ...

RD Partners

Scientist I

South San Francisco, CA · On-site

$35.97 - $47.92/hr

... or data science or similar. · Experience: 1-2 years of hands-on preclinical R&D experience preferred, preferably within a biotech or pharmaceutical setting. · Technical Knowledge: Basic ...

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All JobsBiotech Data Science JobsBiotech Data Science Jobs in Berkeley, CA

Biotech Data Science information

See Berkeley, CA salary details

$45.9K

$150.3K

$240.6K

How much do biotech data science jobs pay per year?

As of Sep 3, 2026, the average yearly pay for biotech data science in Berkeley, CA is $150,286.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,600.00 and $166,500.00 per year, depending on experience, location, and employer.

What is a biotech data science?

A Biotech Data Science job involves analyzing complex biological and pharmaceutical data to drive research, innovation, and decision-making. Professionals in this field use machine learning, statistical modeling, and bioinformatics tools to extract insights from genomics, clinical trials, and drug discovery datasets. They collaborate with scientists, engineers, and healthcare professionals to improve treatments, develop new therapies, and optimize bioprocesses. Strong programming skills, domain knowledge in biology or biotechnology, and expertise in data analysis are essential for success in this role.

What are the key skills and qualifications needed to thrive in biotech data science, and why are they important?

To thrive in Biotech Data Science, you need a solid background in biology or biotechnology, strong statistical and analytical skills, and experience with data analysis languages like Python or R. Familiarity with bioinformatics tools, sequencing platforms, and data visualization software is often expected, with certifications in data science or related fields considered a plus. Excellent problem-solving, communication, and collaboration skills are essential when working across multidisciplinary teams. These competencies enable effective interpretation of complex biological data, driving innovation and insights in the biotech industry.

What are the most common challenges faced by professionals in biotech data science roles?

One of the primary challenges in Biotech Data Science is working with large, complex, and sometimes incomplete biological datasets, which require advanced analytical approaches and careful data curation. Professionals often need to stay current with rapidly evolving technologies and methods, which can be demanding but also rewarding for those who enjoy continuous learning. Collaboration with scientists, engineers, and regulatory teams is common, so adapting communication styles and translating technical findings to diverse audiences is key. Overcoming these challenges leads to meaningful scientific discoveries and significant career growth opportunities.

What are popular job titles related to Biotech Data Science jobs in Berkeley, CA?

For Biotech Data Science jobs in Berkeley, CA, the most frequently searched job titles are:

What job categories do people searching Biotech Data Science jobs in Berkeley, CA look for?

The top searched job categories for Biotech Data Science jobs in Berkeley, CA are:

What cities near Berkeley, CA are hiring for Biotech Data Science jobs?

Cities near Berkeley, CA with the most Biotech Data Science job openings:

Biotech Data Science jobs near you
Infographic showing various Biotech Data Science 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 $150,286 per year, or $72.3 per hour.

Staff Data Scientist, Sales Analytics

10x Genomics

Pleasanton, CA • On-site

Full-time

Medical, Retirement

Re-posted 18 days ago

Job description

About the Position
10x Genomics sells high-complexity capital equipment and consumables into academic research institutions, biotech companies, and large pharma. Our commercial ecosystem involves long sales cycles, regional field teams, and a global distribution network which means forecasting and territory analytics here are genuinely hard and genuinely consequential.
We're hiring a Staff Data Scientist to own the sales analytics function within our Business Insights & Analytics team. You'll report to the Head of Business Insights & Analytics. This is a new headcount role created to deepen our ML capability as we continue to grow and scale globally.
In year one, your primary mandate is threefold: (1) rebuild our sales forecasting model from a rules-based spreadsheet system to a production ML pipeline, (2) redesign our territory performance framework to better account for market heterogeneity across academic vs. pharma accounts, and (3) develop early-warning signal models that surface churn risk, stalled accounts, and expansion opportunities before they become visible to the field, turning reactive account management into proactive intervention.
What you will be doing
  • Forecasting & Predictive Modeling
    • Own end-to-end development of ML-based sales forecasting models from feature engineering in Snowflake to deployment and monitoring in our AWS environment.
    • Build pipeline health and churn risk models that give our VP of Sales a forward-looking view beyond what's visible in Salesforce today.
    • Define model evaluation frameworks and own ongoing performance monitoring; alert stakeholders when model drift requires recalibration.
    • Design specific performance frameworks for distributor-led markets (APAC/EMEA), creating proxy metrics to measure success where we do not own the "last mile" of customer data.
  • Commercial Analytics
    • Conduct deep-dive analyses on quota attainment, territory performance, and account penetration, segmenting by geography, account type, product line, and sales rep tenure.
    • Conduct deep customer analyses that map account health, buying patterns, and product adoption across segments translating behavioral signals from Salesforce and analytical tool usage into a clear view of whitespace, risk, and untapped expansion potential.
    • Act as the commercial "voice of the data" to our Product and Software Engineering teams. You won't just analyze what we have; you will strategize what telemetry we need to collect from our instruments and software to better predict customer expansion and system utilization.
    • Develop and maintain price elasticity models that define the "scientific floor" for global discounting. You will translate these models into actionable pricing guardrails that are integrated directly into our CPQ (Configure, Price, Quote) workflows or regional sales guidelines.
    • Analyze historical discounting patterns across regions and account types (Academic vs. Pharma) to identify where we are leaving money on the table. You will ensure we are maximizing gross margin while maintaining a competitive win rate.
  • Predictive Signal Modelling
    • Build and own early-warning models that detect churn risk, stalled pipeline, and expansion readiness at the account level giving field teams actionable signals weeks before issues surface in lagging indicators.
    • Develop feature sets from disparate sources such as Salesforce activity, ERP order history, analytical tool usage patterns, and field notes to capture behavioral signals that precede customer disengagement or expansion.
    • Establish a signal monitoring framework that automatically flags at-risk and high-opportunity accounts, integrating outputs directly int Salesforce workflows so reps act on insights without leaving their existing tools.
  • Stakeholder Partnership
    • Translate ambiguous business questions into structured analytical frameworks; communicate findings in plain language without hiding behind technical complexity.
    • Mentor junior analysts on the team; you won't manage people, but you will be expected to raise the technical bar.

Minimum Requirements
  • Master's degree in a quantitative discipline such as Statistics, Engineering, Mathematics, Computer Science, Data Science, or an MBA with a technical focus.
  • 7+ years of experience using analytics to solve complex business problems, including coding (Python or R), querying databases (SQL), and statistical analysis.
  • Production ML Experience: Proven track record of deploying machine learning models into production environments to solve commercial or operational challenges.
  • Technical Mastery: Expert-level proficiency in writing complex, efficient SQL and using Python/R for data manipulation and predictive modeling.
  • Commercial Acumen: Profound experience with sales processes and tools, specifically Salesforce CRM, sales quota/territory assignment, and the B2B enterprise SaaS demand generation funnel.
  • Data Visualization: Advanced knowledge of data visualization tools like Tableau or Power BI to synthesize data into actionable executive dashboards.
  • Stakeholder Management: Exceptional communication and interpersonal skills, with the ability to lead through ambiguity and influence cross-functional teams.

Preferred Skills & Qualifications
  • 9+ years of experience in data science or commercial analytics within a high-growth environment.
  • MLOps Expertise: Experience with Machine Learning Operations (MLOps) tools and practices to maintain model health and scalability.
  • Industry Context: Experience working within a healthcare, life sciences multinational, or a leading tech-driven organization.
  • Strategic Depth: Proven ability to conduct technology assessments and ROI analysis for complex organizational system solutions.

This is a high-impact role that will directly influence commercial strategy and business growth through data-driven insights.
Below is the base pay range for this full-time position. The actual base pay will depend on several factors unique to each candidate, including one's skills, qualifications, and experience. At 10x, base pay is also just one component of the Company's total compensation package. This role is also eligible for 10x's equity grants, its comprehensive health and retirement benefit programs, and its annual bonus program or sales incentive program. During the hiring process, your 10x recruiter can share more about the Company's total compensation package.
Pay Range
$198,500-$268,500 USD
About 10x Genomics
At 10x Genomics, accelerating our understanding of biology is more than a mission for us. It is a commitment. This is the century of biology, and the breakthroughs we make now have the potential to change the world.
We enable scientists to advance their research, allowing them to address scientific questions they did not even know they could ask. Our tools have enabled fundamental discoveries across biology including cancer, immunology, and neuroscience.
Our teams are empowered and encouraged to follow their passions, pursue new ideas, and perform at their best in an inclusive and dynamic environment. We know that behind every scientific breakthrough, there is a deep infrastructure of talented people driving the life sciences industry and making it possible for scientists and clinicians to make new strides. We are dedicated to finding the very best person for every aspect of our work because the innovations and discoveries that we enable together will lead to better technologies, better treatments, and a better future. Find out how you can make a 10x difference.
Individuals seeking employment at 10x Genomics are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation, or any other characteristic protected by applicable law.
10x does not accept unsolicited applicants submitted by third-party recruiters or agencies. Any resume or application submitted to 10x without a vendor agreement in place will be considered unsolicited and property of 10x, and 10x will not pay a placement fee.
Please be aware of recruitment scams impersonating 10x Genomics. All recruiting communication will come from email addresses @10xgenomics.com. We also want to encourage you to apply to 10x Genomics positions directly on our careers site, Careers.10xgenomics.com or from reputable third party sites, such as LinkedIn or Indeed. We will never request payment or sensitive personal information during the recruiting process.

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