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Remote Genomic Data Analyst Jobs in California (NOW HIRING)

Landpoint

Remote Data Analyst

Fremont, CA · Remote

These essential skills enable analysts to effectively work with data, collaborate with remote teams, and provide valuable insights that drive business growth. Skills; Analytical and problem-solving ...

Infinity Marketing

Data Analyst

Riverside, CA · Remote

REMOTE - US Residents Only  We are looking for a thorough and analytical Data Analyst to go with our present team. Your job in this role will mostly consist on data collecting, processing ...

Booz Allen Hamilton, Inc.

Data Analyst

San Diego, CA · On-site +1

$61K - $141K/yr

Remote Work: No Job Number: R0243644 Location: San Diego,CA,US Share job via: Share Data Analyst The Opportunity: As data analyst, you love diving into data and turning it into meaningful insights.

Tempus

Data Architect, Next Platform

Redwood City, CA · On-site +1

$150K - $200K/yr

... genomic and imaging data-are seamlessly accessible to autonomous AI agents. Our goal is to move ... Exceptional SQL skills for complex analytical environments and proficiency in Python for data ...

New

Recruit Monitor

Remote Data Analyst

San Jose, CA · Remote

You will design and develop data & analytics solutions using cutting-edge tools to improve data warehousing, financial reporting, reserve analytics, and various automation efforts. This position ...

Recruit Monitor

Remote Data Analyst

Long Beach, CA · Remote

You will design and develop data & analytics solutions using cutting-edge tools to improve data warehousing, financial reporting, reserve analytics, and various automation efforts. This position ...

Sagetap

Data Analyst

San Francisco, CA · On-site +1

$85K - $110K/yr

Data Analyst Company Description Sagetap is a rapidly growing startup changing how enterprise ... San Francisco preferred, though we're open to remote for the right person. What you will do * Serve ...

New

Easy Recruiter

Senior Data Analyst (Remote)

San Diego, CA · Remote

$91K - $115K/yr

... Best Remote-First Places to Work . Firstup believes in the power of data to produce great business results, and were looking for a senior data analyst who can help us do just that. Firstup has a ...

Aston Carter

Sr Data Analyst

Moorpark, CA · Remote

$50 - $80/hr

Job Title: Project-Based Data Analyst This project-based Data Analyst role supports a major ... Work Environment This is a fully remote, work-from-home position supporting a project expected to ...

New

Datafied

Junior Data Analyst

Anaheim, CA · On-site +1

Remote Work Requirements * Hard-wired ethernet connection. * Safe and secure workspace. * Ability ... Exposure to Python, R, or other data analysis tools. * Experience working in a fast-paced or cross ...

Sparks Wiz Limited

Junior Data Analyst

Los Angeles, CA · On-site +1

$26 - $37/hr

As a Junior Data Analyst at Sparks Wiz Limited , you will support the data analytics team by ... Remote-based with potential for hybrid work arrangements. * Full-time position with standard ...

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Remote Genomic Data Analyst information

What is a Remote Genomic Data Analyst?

A Remote Genomic Data Analyst is a professional who analyzes and interprets genetic and genomic data, typically working from a location outside a traditional office. They use bioinformatics tools and statistical techniques to process DNA, RNA, or protein sequencing data, supporting scientific research, clinical diagnostics, or pharmaceutical development. Their responsibilities often include data cleaning, quality control, visualization, and reporting of genomic findings. Working remotely, they collaborate with researchers or clinicians using digital communication platforms and may be employed by universities, hospitals, biotech companies, or research institutions.

What are some common challenges faced by Remote Genomic Data Analysts, and how can they be managed?

Remote Genomic Data Analysts often encounter challenges such as managing large-scale genomic datasets, ensuring data privacy, and collaborating effectively with distributed teams. To address these, it’s helpful to be proficient in cloud-based data management tools and maintain strong communication through regular virtual meetings. Staying current with best practices in data security and participating in online forums or collaborative platforms can also help overcome technical and collaboration hurdles.

What are the key skills and qualifications needed to thrive as a Remote Genomic Data Analyst, and why are they important?

To thrive as a Remote Genomic Data Analyst, you need a solid background in bioinformatics, statistics, and genomics, typically supported by a degree in biology, computational science, or a related field. Familiarity with tools such as Python, R, command-line interfaces, and genomic databases, as well as experience with platforms like AWS or cloud-based analysis systems, is often required. Strong analytical thinking, attention to detail, and effective remote communication are important soft skills for collaborating across virtual teams and interpreting complex data. These skills and qualities are crucial for accurate data analysis, efficient problem-solving, and successful contribution to research or clinical genomics projects in a remote environment.
What are the most commonly searched types of Genomic Data Analyst jobs in California? The most popular types of Genomic Data Analyst jobs in California are:
What are popular job titles related to Remote Genomic Data Analyst jobs in California? For Remote Genomic Data Analyst jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Genomic Data Analyst jobs in California look for? The top searched job categories for Remote Genomic Data Analyst jobs in California are:
What cities in California are hiring for Remote Genomic Data Analyst jobs? Cities in California with the most Remote Genomic Data Analyst job openings:
Remote Genomic Data Analyst jobs near you
Infographic showing various Remote Genomic Data Analyst job openings in California as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Computational Scientist (Functional Genomics) - Remote

Astrix Inc

South San Francisco, CA • On-site, Remote

$35 - $40/hr

Full-time, Contractor

Posted 9 days ago

Job description

Pay Rate Low: 35 | Pay Rate High: 40
Our client is an innovative biotechnology company seeking a Computational Scientist to support advanced research initiatives focused on analyzing large-scale single-cell perturbation datasets.
Title: Computational Scientist - Single-Cell Genomics & Perturbation Biology
Location: Remote (Must be open to working PST)
Schedule: Full-Time (40 hours/week)
Duration: 12-Month Contract (+Benefits)
Pay rate: $35-40/hr
In this role, you will leverage computational approaches to generate biological insights that accelerate target identification, drug discovery, and the development of next-generation therapeutics. This role will partner with cross-functional teams of computational scientists, biologists, and data scientists to generate biological insights from high-content sequencing data while contributing to scalable computational pipelines and best practices.
Key Responsibilities
  • Analyze large-scale perturbation sequencing datasets (e.g., Perturb-seq, CROP-seq, multi-condition single-cell RNA-seq).
  • Develop and apply computational methods to generate insights that support early-stage therapeutic research.
  • Collaborate with interdisciplinary teams across computational biology, biology, chemistry, and data science.
  • Contribute to software, analysis pipelines, and workflow improvements for large-scale genomic data analysis.
  • Present findings and communicate complex analyses to technical and non-technical stakeholders.

Qualifications
  • Master's or PhD in Bioinformatics, Computational Biology, Computer Science, Statistics, Mathematics, or a related quantitative life science field.
  • 1-3+ years of relevant industry or postdoctoral experience.
  • Hands-on experience analyzing Perturb-seq, CROP-seq, SciPlex, or other multi-condition single-cell RNA-seq datasets.
  • Strong programming skills in Python and/or R.
  • Experience working in HPC environments (SLURM, AWS, SGE, or similar).
  • Must be authorized to work in the United States without sponsorship.
  • Knowledge of workflow management tools such as Nextflow or Snakemake is preferred.
  • Strong software engineering fundamentals and experience with version control.
  • Excellent analytical, problem-solving, and communication skills.

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