ZipRecruiter

Log In

1

Temporary Data Science Physics Jobs in California

Adidev Technologies Inc

Data Science

San Francisco, CA · On-site

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote ...

Adidev Technologies Inc

Data Science

San Francisco, CA · Remote

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote ...

Databricks

Staff Data Scientist

San Francisco, CA · On-site

D. in quantitative fields (e.g., Statistics, Math, Computer Science, Physics, Economics, Operational Research or Engineering) Company : Databricks is a data and AI platform that unifies data ...

Roblox

Principal Data Scientist - Safety

San Mateo, CA · On-site

WHY DATA SCIENCE & ANALYTICS? The Data Science & Analytics organization's mission is to increase ... Advanced Degree and/or PhD in Statistics, Computer Science, Physics, Applied Math, Economics, or ...

Databricks

Staff Data Scientist

San Francisco, CA

P-57 At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems ... D. in quantitative fields (e.g., Statistics, Math, Computer Science, Physics, Economics ...

Amgen Inc. (IR)

Data Scientist

Thousand Oaks, CA · On-site

$134 - $182/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

MS or PhD in Statistics/Biostatistics, Mathematics, Computer Science, Data Science, Physics, Informatics, Life Sciences, or quantitative related field. * A proven ability to write robust code in R ...

New

DEUNA

Data Science intern

San Francisco, CA · On-site

Data Science * Statistics * Mathematics * Engineering ... Economics * Physics * Or a related quantitative field. We may use artificial intelligence (AI ...

next page

Showing results 1-20

All JobsData Science Physics JobsTemporary Data Science Physics JobsTemporary Data Science Physics Jobs in California

Temporary Data Science Physics information

What is the difference between Temporary Data Science Physics vs Data Analyst?

AspectTemporary Data Science PhysicsData Analyst
Required CredentialsDegree in Physics, Data Science, or related fields; programming skillsDegree in Statistics, Mathematics, or related fields; data handling skills
Work EnvironmentResearch labs, tech companies, academiaBusiness, finance, marketing departments
Industry UsageScientific research, tech innovation, academiaBusiness insights, reporting, decision-making

Temporary Data Science Physics roles focus on applying physics principles and data science techniques in research or tech environments, often requiring strong analytical and programming skills. Data Analysts primarily interpret data to support business decisions, with a focus on data visualization and reporting. While both roles involve data handling, their industry applications and skill sets differ, making them distinct career paths.

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

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

What are popular job titles related to Temporary Data Science Physics jobs in California?

For Temporary Data Science Physics jobs in California, the most frequently searched job titles are:

What job categories do people searching Temporary Data Science Physics jobs in California look for?

The top searched job categories for Temporary Data Science Physics jobs in California are:

What cities in California are hiring for Temporary Data Science Physics jobs?

Cities in California with the most Temporary Data Science Physics job openings:

Temporary Data Science Physics jobs near you

Director of Data Science and Bioinformatics

Natera

San Carlos, CA

Full-time

Posted 4 days ago

Natera rating

7.7

Company rating: 7.7 out of 10

Based on 38 frontline employees who took The Breakroom Quiz

56th of 120 rated laboratories

Job description

This is an exciting opportunity to lead and grow the Data Science and Bioinformatics function supporting Natera's Women's Health and Organ Health product portfolios. In this role, you will build the bioinformatics capability within the Data Science development team, establish scalable AWS cloud infrastructure, and ensure the quality and reproducibility of the genomic algorithms powering our clinical products.

PRIMARY RESPONSIBILITIES:

Strategy and Vision

  • Build and define the Bioinformatics function within the Data Science development team, identify technical tooling gaps, and execute a roadmap to advance genomics-based algorithm development.
  • Establish and enforce pipeline and algorithm quality standards, including review processes, validation frameworks, and documentation practices

Infrastructure and Automation

  • Own and architect scalable AWS-based data science and bioinformatics infrastructure, ensuring quality, reproducibility, and reliable deployment of Next-Generation Sequencing (NGS) algorithms.
  • Implement MLOps tooling and automated validation frameworks to support reliable algorithm deployment into clinical production.

Cross-Functional Collaboration

  • Partner with Research, Product Development, Laboratory Operations, Engineering, and Quality teams to implement stable, scalable pipelines and support successful productization

Team Leadership

  • Lead, mentor and hire a high-performing team of bioinformaticians and data scientists, establishing technical quality standards and clear operational ownership.
  • Build technical depth within the team to support expanding product roadmaps across Women's Health and Organ Health.

QUALIFICATIONS:

  • Master of Science or Ph.D. in a quantitative technical discipline (Biostatistics, Bioinformatics, Computer Science, Physics, Applied Mathematics, or equivalent).
  • Minimum of 10 years of experience in Data Science or Bioinformatics, with at least 5 years of direct people management experience leading technical teams.
  • Hands-on experience architecting AWS cloud infrastructure for data-intensive bioinformatics workloads and NGS pipeline execution.
  • Demonstrated ability to identify capability gaps independently, build scalable infrastructure, and drive execution without waiting for formal structure.
  • Strong communicator who builds cross-functional alignment across Research, Engineering, and Quality teams through technical clarity, direct engagement, and data-driven reasoning.
  • Track record of developing bioinformatics talent and delivering computational pipelines that support commercial product development.

PREFERRED QUALIFICATIONS:

  • Experience developing software and pipelines within regulated environments (CLIA, FDA, or ISO framework).
  • Experience with MLOps frameworks and pipeline tools (MLflow, Nextflow, WDL, Docker).
  • Advanced knowledge of statistical inference, machine learning, and genomic data processing.

What Natera employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply