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From Home Variant Scientist Jobs (NOW HIRING)

BillionToOne

Senior Scientist

Menlo Park, CA · On-site +1

$251K/yr

... from our rapidly growing dataset of genomic profiles and real-world clinical data . This role sits ... variant interpretation, and clinical trial or guideline tracking-while helping lay the foundation ...

BillionToOne

Senior Scientist

Menlo Park, CA · On-site

$107K - $147K/yr

... variant interpretation, and clinical trial or guideline tracking-while helping lay the foundation ... Free daily on-site lunches provided from top eateries * Latest and greatest hardware (laptop, lab ...

Auto-Owners Insurance

Data Scientist

Lansing, MI · On-site

We offer a merit-based work-from-home program based on job responsibilities. After initial training ... Auto-Owners Insurance, a top-rated insurance carrier, is seeking a data scientist to join our ...

BillionToOne

Senior Scientist, Oncology

Menlo Park, CA · On-site +1

$251K/yr

... from our rapidly growing dataset of genomic profiles and real-world clinical data . This role sits ... variant interpretation, and clinical trial or guideline tracking-while helping lay the foundation ...

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From Home Variant Scientist information

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$37.5K

$122.7K

$196.5K

How much do from home variant scientist jobs pay per year?

As of Jun 12, 2026, the average yearly pay for from home variant scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is the difference between From Home Variant Scientist vs From Home Data Analyst?

AspectFrom Home Variant ScientistFrom Home Data Analyst
Required CredentialsTypically a degree in chemistry, biology, or related field; often requires specialized certificationsUsually a degree in statistics, mathematics, or related field; certifications like CAP or Microsoft Power BI are common
Work EnvironmentLaboratory settings with remote data analysis; some roles are fully remotePrimarily remote, working with datasets, reports, and visualization tools
Industry UsagePharmaceuticals, biotech, research institutionsBusiness, finance, healthcare, marketing

From Home Variant Scientists focus on experimental research and data interpretation in scientific fields, often requiring lab experience, while From Home Data Analysts analyze datasets remotely to support business decisions. Both roles can be performed remotely but serve different industry needs and require distinct skill sets.

More about From Home Variant Scientist jobs
What cities are hiring for From Home Variant Scientist jobs? Cities with the most From Home Variant Scientist job openings:
What are the most commonly searched types of Variant Scientist jobs? The most popular types of Variant Scientist jobs are:
What states have the most From Home Variant Scientist jobs? States with the most job openings for From Home Variant Scientist jobs include:
What job categories do people searching From Home Variant Scientist jobs look for? The top searched job categories for From Home Variant Scientist jobs are:
From Home Variant Scientist jobs near you
Infographic showing various From Home Variant Scientist job openings in the United States as of June 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 33% In-person, and 67% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Machine Learning Scientist / Senior Machine Learning Scientist

Calico

South San Francisco, CA

$170K - $240K/yr

Other

Posted 11 days ago

Job description

Who We Are:

Calico (Calico Life Sciences LLC) is an Alphabet-founded research and development company whose mission is to harness advanced technologies and model systems to increase our understanding of the biology that controls human aging. Calico will use that knowledge to devise interventions that enable people to lead longer and healthier lives. Calico's highly innovative technology labs, its commitment to curiosity-driven discovery science and, with academic and industry partners, its vibrant drug-development pipeline, together create an inspiring and exciting place to catalyze and enable medical breakthroughs.

Position Description:

Calico is seeking a machine learning scientist to join a research group investigating how genome sequence determines regulatory function and how dysregulation of these programs drives aging. We develop sequence-based deep learning models that predict gene expression, chromatin accessibility, and other functional readouts directly from DNA. We use these models to interpret human genetic variation, map causal regulatory mechanisms, and identify promising intervention points.

This work builds on a sustained research program at the intersection of deep learning and regulatory genomics, including:

  • Avsec, Z. et al. Effective gene expression prediction from sequence by integrating long-range interactions. Nat Methods 18, 1196-1203 (2021).
  • Yuan, H. & Kelley, D. R. scBasset: sequence-based modeling of single-cell ATAC-seq using convolutional neural networks. Nat Methods 19, 1088-1096 (2022).
  • Linder, J., Srivastava, D., Yuan, H., Agarwal, V. & Kelley, D. R. Predicting RNA-seq coverage from DNA sequence as a unifying model of gene regulation. Nature Genetics (2025).

Additional research can be found here.

Position Responsibilities:

  • Design and train deep learning models for biological sequence analysis, with emphasis on gene regulation, single-cell genomics, and variant interpretation
  • Partner with experimental scientists to connect model predictions to biological mechanisms - designing validation experiments, analyzing large-scale genomics data, and translating computational findings into actionable biological insights
  • Communicate research through publications, open-source software, and public-facing tools

Position Requirements:

PhD in computational biology, bioinformatics, computer science, or a related field, and 0-5 years (for Scientist level) or 5+ years (for Senior Scientist level) of additional training in an industry or academic setting, with a strong publication record

  • Deep expertise in machine learning with solid grounding in algorithms, data structures, and statistics
  • Substantive knowledge of molecular biology and genetics; familiarity with genomic data types and public data resources
  • Hands-on experience analyzing genomics sequencing data, ideally including single-cell assays
  • Fluency with modern AI-assisted development and research tools (e.g., LLM-based coding assistants, literature synthesis), with a habit of proactively integrating new tools to accelerate scientific workflows
  • A collaborative disposition, strong follow-through, and comfort working at the interface of computation and experiment
  • Must be willing to work onsite at least four days per week

The estimated base salary range for this role is $170,000 - $240,000. Actual pay will be based on a number of factors including experience and qualifications. This position is also eligible for two annual cash bonuses

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