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Remote Phd Statistics Jobs in California (NOW HIRING)

Ionis

Associate Director, Biometrics

Carlsbad, CA · On-site +1

$164K - $222K/yr

We continue to invest time, money and energy into making our onsite, hybrid and remote work ... PhD degree in Statistics, Biostatistics or related field, and at least 5 years of relevant ...

Gilead

Senior Director, Biostatistics

Thousand Oaks, CA · On-site +1

... pragmatic statistical methods, as well as demonstrated motivation for and excellence in people ... Position can be remote or may be office-based in Foster City, CA, El Segundo, CA, Thousand Oaks, CA ...

Gilead

Senior Director, Biostatistics

Foster City, CA · On-site +1

... pragmatic statistical methods, as well as demonstrated motivation for and excellence in people ... Position can be remote or may be office-based in Foster City, CA, El Segundo, CA, Thousand Oaks, CA ...

Gilead

Senior Director, Biostatistics

El Segundo, CA · On-site +1

... pragmatic statistical methods, as well as demonstrated motivation for and excellence in people ... Position can be remote or may be office-based in Foster City, CA, El Segundo, CA, Thousand Oaks, CA ...

Kite Pharma

Senior Director, Biostatistics

El Segundo, CA · On-site +1

... pragmatic statistical methods, as well as demonstrated motivation for and excellence in people ... Position can be remote or may be office-based in Foster City, CA, El Segundo, CA, Thousand Oaks, CA ...

Federato Technologies

Data Scientist

San Francisco, CA · On-site +1

$160K - $200K/yr

... Statistics, and Optimization. The role will report directly to the CTO. Next to the CTO, you will ... This is a remote position, but we do have an office in San Fransisco. You will be the first data ...

Federato Technologies

Data Scientist

San Francisco, CA · Remote

$160K - $200K/yr

... Statistics, and Optimization. The role will report directly to the CTO. Next to the CTO, you will ... This is a remote position, but we do have an office in San Fransisco. You will be the first data ...

LatchBio

AI Biologist - Variant

San Francisco, CA · On-site +1

$120K - $180K/yr

Master's or PhD in bioinformatics, genetics, biology, statistics, or related field * 3-5 years of ... Remote (globally), hybrid, or onsite in SF (onsite preferred) * Work authorization: OPT visa ...

Tempus

Scientist II, Translational Research

Redwood City, CA · On-site +1

$100K - $150K/yr

Preferred Qualification PhD degree in a quantitative discipline (e.g. Biostatistics/Statistical ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

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All JobsPhd Statistics JobsRemote Phd Statistics JobsRemote Phd Statistics Jobs in California

Remote Phd Statistics information

What is a remote PhD statistician?

Remote PhD statistics jobs are positions that require an advanced degree (PhD) in statistics, allowing professionals to work from home or any location outside a traditional office. These roles typically involve designing statistical models, analyzing complex data sets, and collaborating with research teams or organizations virtually. Common industries hiring for remote PhD statistics jobs include academia, healthcare, pharmaceuticals, tech, and government agencies. The flexibility of remote work enables statisticians to contribute to projects worldwide while maintaining a work-life balance.

What are the key skills and qualifications needed to thrive as a remote PhD statistician?

To thrive as a Remote PhD Statistician, you need advanced statistical knowledge, expertise in data analysis, and a doctoral degree in statistics or a related field. Proficiency in statistical software such as R, SAS, or Python, and experience with data management systems are typically required. Strong problem-solving abilities, self-motivation, and effective written communication are crucial for collaborating remotely and presenting complex findings clearly. These skills ensure rigorous data analysis, reliable insights, and effective contributions to research or business objectives in a remote environment.

What are some common challenges faced by remote PhD statisticians, and how can they be addressed?

Remote PhD statisticians often face challenges such as maintaining clear communication with cross-functional teams, managing time across different time zones, and staying updated with the latest statistical methodologies. These can be addressed by leveraging collaborative tools (like Slack or Zoom), setting regular check-ins with team members, and participating in virtual conferences or workshops. Proactively seeking feedback and documenting work processes also helps ensure alignment and productivity in a remote environment.

What is the difference between Remote Phd Statistics vs Remote Data Scientist?

AspectRemote Phd StatisticsRemote Data Scientist
Required CredentialsPhD in Statistics or related fieldBachelor's or Master's in Data Science, Statistics, or related field
Work EnvironmentResearch-focused, often academic or industry R&DApplied analytics, product development, business insights
Employer & Industry UsageUniversities, research institutions, biotech, financeTech companies, finance, healthcare, e-commerce
Common Search & ComparisonYesYes

Remote Phd Statistics roles typically involve research, advanced statistical modeling, and theoretical work, often in academic or R&D settings. Remote Data Scientist positions focus on applying data analysis, machine learning, and programming skills to solve practical business problems. While both roles require strong analytical skills, the PhD in Statistics emphasizes research and theory, whereas Data Scientists focus on application and implementation.

What are the most commonly searched types of Phd Statistics jobs in California?

The most popular types of Phd Statistics jobs in California are:

What are popular job titles related to Remote Phd Statistics jobs in California?

For Remote Phd Statistics jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Phd Statistics jobs in California look for?

The top searched job categories for Remote Phd Statistics jobs in California are:

What cities in California are hiring for Remote Phd Statistics jobs?

Cities in California with the most Remote Phd Statistics job openings:

Remote Phd Statistics jobs near you
Infographic showing various Remote Phd Statistics job openings in California as of August 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

Re-posted yesterday

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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