ZipRecruiter

Log In

1

Phd Science Genomics Jobs (NOW HIRING)

previous page

Showing results 41-60

All JobsTechnology JobsData JobsBioinformatics Scientist JobsPhd Science Genomics Jobs

Phd Science Genomics information

See salary details

$24.5K

$48.4K

$79K

How much do phd science genomics jobs pay per year?

As of Sep 9, 2026, the average yearly pay for phd science genomics in the United States is $48,391.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,500.00 and $52,000.00 per year, depending on experience, location, and employer.

What is the difference between Phd Science Genomics vs Bioinformatics Scientist?

AspectPhd Science GenomicsBioinformatics Scientist
Required CredentialsPhD in Genetics, Genomics, or related fieldMaster's or PhD in Bioinformatics, Computer Science, or related field
Work EnvironmentResearch labs, academic institutions, biotech companiesData analysis, software development, research teams in biotech and pharma
Industry UsageGenomics research, personalized medicine, academic researchData analysis, algorithm development, computational biology

Phd Science Genomics focuses on experimental design and laboratory research in genomics, while Bioinformatics Scientists primarily analyze genomic data using computational tools. Both roles often collaborate but differ in their core activities and skill sets.

What are popular job titles related to Phd Science Genomics jobs?

For Phd Science Genomics jobs, the most frequently searched job titles are:

Infographic showing various Phd Science Genomics job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 77% Full Time, 19% Part Time, and 2% Contract. Highlights an 75% Physical, 3% Hybrid, and 22% Remote job distribution, with an average salary of $48,391 per year, or $23.3 per hour.

Computational Scientist (Functional Genomics) - Remote

South San Francisco, CA • On-site, Remote

Astrix Inc
Recruiting and Staffing Services • 1 - 5K employees
Learn more about Astrix Incexternal

$35 - $40/hr

Full-time, Contractor

This job post has expired today. Applications are no longer accepted.

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.

INDBH
#LI-MG1

Apply