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Remote Biology Data Science Jobs in California (NOW HIRING)

Swish Analytics

NFL Data Scientist

San Francisco, CA · On-site +1

$140K/yr

Data Science is at the core of our business, so this team has true ownership and impact over developing core components of Swish's data products. This position is remote from the USA. Duties:

Tempus

Data Scientist II, Outcomes Research

Redwood City, CA · On-site +1

$100K - $150K/yr

Advanced degree (Master's with 2+ years experience or equivalent) in data science, bioinformatics ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

Mercor

Data Scientist - AI Evaluation

San Francisco, CA · Remote

$100 - $150/hr

Remote Role Responsibilities * Design precise, task-specific grading criteria for data science deliverables, including exploratory data analyses , statistical modeling work , machine learning ...

New

Swish Analytics

Tennis Data Scientist

San Francisco, CA · On-site +1

$135K - $190K/yr

Data Science is at the core of our business, so this team has true ownership and impact over developing core components of Swish's data products. This position is remote from the USA. Duties:

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All JobsBiology Data Science JobsRemote Biology Data Science JobsRemote Biology Data Science Jobs in California

Remote Biology Data Science information

How do remote biology data scientists typically collaborate with laboratory or field research teams?

Remote biology data scientists often collaborate with laboratory or field research teams through regular virtual meetings, shared cloud-based data repositories, and project management tools. They play a key role in analyzing experimental data, developing models, and providing feedback to guide ongoing experiments. Clear communication and proactive engagement are essential, as remote scientists must bridge the gap between data analysis and hands-on research. Building strong relationships with team members and staying aligned on project goals help ensure smooth workflows and successful outcomes.

What is remote biology data science?

Remote biology data science is a specialized field where professionals apply data analysis, statistical methods, and computational tools to biological data, such as genomic sequences, ecological surveys, or clinical trial results, all while working outside of a traditional office setting. These roles often involve using programming languages like Python or R, collaborating virtually with research teams, and interpreting complex datasets to advance biological research or healthcare outcomes. Remote biology data scientists may work for academic institutions, biotech companies, healthcare organizations, or research labs, handling tasks such as data cleaning, modeling, and visualization from any location with internet access.

What are the key skills and qualifications needed to thrive as a remote biology data scientist?

To thrive as a Remote Biology Data Scientist, you need a strong background in biology, statistics, and computer science, often supported by an advanced degree in a relevant field. Proficiency with data analysis tools such as Python, R, bioinformatics platforms, and cloud-based data management systems is typically required. Strong problem-solving abilities, attention to detail, and effective communication are valuable soft skills for collaborating remotely and interpreting complex biological data. These skills ensure accurate data-driven insights and effective teamwork in a virtual, interdisciplinary environment.

What are the most commonly searched types of Biology Data Science jobs in California?

The most popular types of Biology Data Science jobs in California are:

What cities in California are hiring for Remote Biology Data Science jobs?

Cities in California with the most Remote Biology Data Science job openings:

Remote Biology Data Science jobs near you
Infographic showing various Remote Biology Data Science job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

NFL Data Scientist

Swish Analytics

San Francisco, CA • On-site, Remote

$140K/yr

Full-time

Re-posted 13 days ago

Job description

Company Description
Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients.
Job Description
Swish Analytics is looking for an NFL Data Scientists to join our ever-growing team! Data Science is at the core of our business, so this team has true ownership and impact over developing core components of Swish's data products. This position is remote from the USA.
Duties:
  • Ideate, develop and improve machine learning and statistical models that drive Swish's core algorithms for producing state-of-the-art sports betting products.
  • Develop contextualized feature sets using sports specific domain knowledge.
  • Contribute to all stages of model development, from creating proof-of-concepts and beta testing, to partnering with data engineering and product teams to deploy new models.
  • Strive to constantly improve model performance using insights from rigorous offline and online experimentation.
  • Analyze results and outputs to assess model performance and identify model weaknesses for directing development efforts.
  • Adhere to software engineering best practices and contribute to shared code repositories.
  • Document modeling work and present to stakeholders and other technical and non-technical partners.

Requirements:
  • Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area
  • Demonstrated experience developing models at production scale for NFL, CFB, or sports betting for 2+ years
  • Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods
  • 5+ years of demonstrated experience developing and delivering effective machine learning and/or statistical models to serve business needs in sports or sports betting
  • Experience with relational SQL & Python
  • Experience with source control tools such as GitHub and related CI/CD processes
  • Experience working in AWS environments etc
  • Proven track record of strong leadership skills. Has shown ability to partner with teams in solving complex problems by taking a broad perspective to identify innovative solutions
  • Excellent communication skills to both technical and non-technical audiences

Base salary: Starting at $140,000
Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer's discretion, this position may require successful completion of background and reference checks.
Department Data Science Role NFL Team Locations San Francisco, CA - Remote Remote status Fully Remote

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