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Biotech Data Science Remote Jobs in California (NOW HIRING)

Veracyte

Data Scientist II

San Diego, CA · On-site +1

$101K - $140K/yr

This is a remote friendly position. On-site cube available in South San Francisco or San Diego.  We are seeking a talented and experienced AI/ML data scientist to join our Veracyte's Data Science ...

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Biotech Data Science Remote information

What are the key skills and qualifications needed to thrive as a Biotech Data Scientist in a remote role, and why are they important?

To thrive as a Biotech Data Scientist in a remote role, you need a strong background in biology or biotechnology, advanced data analysis skills, and proficiency in programming languages like Python or R, often supported by a relevant degree. Familiarity with bioinformatics tools, machine learning frameworks, and cloud-based collaboration platforms is typically required. Excellent communication, problem-solving abilities, and self-motivation are crucial soft skills for effective remote teamwork and project delivery. These competencies ensure accurate data-driven insights, seamless remote collaboration, and impactful contributions to biotech research and innovation.

What are some common challenges faced by remote biotech data scientists, and how can they be addressed?

Remote biotech data scientists often encounter challenges related to cross-disciplinary collaboration and data accessibility, as projects frequently require input from wet lab scientists, clinicians, and IT specialists. Effective communication tools, regular virtual meetings, and clear project management protocols can help bridge these gaps. Additionally, ensuring secure and reliable access to large and sensitive datasets is essential, so familiarity with cloud platforms and data governance best practices is beneficial for success in this role.

What is a remote biotech data scientist?

A remote biotech data scientist is a professional who applies data analysis, machine learning, and statistical methods to biological and biomedical data while working from a location outside of a traditional office. They help interpret complex datasets from experiments, clinical trials, or genomics to aid in research, drug development, and healthcare innovation. Their work involves programming, data visualization, and collaborating with cross-functional teams, all done virtually. Remote biotech data scientists typically use tools like Python, R, and specialized bioinformatics software to analyze data and generate insights.
What are the most commonly searched types of Biotech Data Science jobs in California? The most popular types of Biotech Data Science jobs in California are:
What are popular job titles related to Biotech Data Science Remote jobs in California? For Biotech Data Science Remote jobs in California, the most frequently searched job titles are:
What job categories do people searching Biotech Data Science Remote jobs in California look for? The top searched job categories for Biotech Data Science Remote jobs in California are:
What cities in California are hiring for Biotech Data Science Remote jobs? Cities in California with the most Biotech Data Science Remote job openings:
Biotech Data Science Remote jobs near you
Infographic showing various Biotech Data Science Remote job openings in California as of June 2026, with employment types broken down into 21% Internship, 58% Full Time, and 21% Contract. Highlights an 100% Remote job distribution.

Product Manager Lead, Data (Credit & Alternative Data Strategy) - Remote

Experian

Costa Mesa, CA • Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Company Description

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.

Job Description

Product Manager, Data (Credit & Alternative Data Strategy)

Join Experian's Product organization and shape the data that powers smarter decisions across the credit lifecycle. You'll lead the strategy and commercialization of data assets that fuel credit risk, decisioning, identity, and financial services solutions used by lenders worldwide. Your work will directly influence how new data becomes scalable products that inform insight, innovation, and growth.

You will work remote, or hybrid based on your proximity to an Experian office.

What you'll do:

  • Define and lead the strategy for evaluating, acquiring, and expanding data assets that power Experian's products across acquisition, underwriting, account management, and collections
  • Partner with Data Science, Engineering, and Analytics to transform raw data into high‑value, scalable data products used in models, scores, and decisioning solutions
  • Build a long‑term data roadmap with care for Experian's product portfolio and growth strategy
  • Guide commercialization by allowing product teams to create data‑driven solutions to market
  • Identify new opportunities through market, and competitive insights across lending and financial services
  • Collaborate across credit risk, fraud, identity, and decisioning teams to ensure data supports diverse use cases and customer segments
  • Ensure data products are scalable, governed, compliant, and bring measurable commercial impact
Qualifications

Qualifications:

  • Experience working with large-scale data assets, data platforms, or data-driven products within financial services, FinTech, or analytics organizations.
  • Experience partnering with data science teams to develop attributes, models, or analytics products.
  • Demonstrated experience defining product strategy and building roadmaps for data or analytics products that support multiple downstream use cases. Experience with data governance, data quality management, and regulatory considerations related to financial data.
  • Bachelor's degree required; advanced degree in data science, analytics, finance, or related field.
  • 8+ years of experience in product management, data product management, or analytics product strategy.
  • Experience building business cases, evaluating investment opportunities, and increasing revenue from data-enabled products.
  • Experience with credit bureau data, credit risk analytics, financial data ecosystems, or decisioning platforms.

Additional Information

Benefits/Perks:

Our uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose driven culture is multi award-winning; World's Best Workplaces™ 2025 (Fortune Global Top 25), Great Place To Work™ in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why.

Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay range for this position is listed above. Within this range, individual pay is determined by work location and additional factors such as job-related skills, experience, and education. You will be also eligible for a variable pay opportunity.

Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal, state and local law, including protected veterans and individuals with disabilities. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

Benefits/Perks:

  • Great compensation package and bonus plan
  • Core benefits including medical, dental, vision, and matching 401K
  • Flexible work environment, ability to work remote, hybrid or in-office
  • Flexible time off including volunteer time off, vacation, sick and 12-paid holidays
  • Explore all our exciting benefits here: https://myexperianbenefits.com/

#LI-Remote