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From Home Nih Bioinformatics Jobs (NOW HIRING)

BiomeSense

Senior Bioinformatics Engineer

Chicago, IL · On-site

$125K - $200K/yr

We partner with UCSF, UCSD, NIH & the University of Chicago & are backed by LabCorp Ventures ... from raw shotgun metagenomic sequencing * Data Engineering - build & maintain cloud infra ...

Kelly Services

Bioinformatics Scientist

Bethesda, MD · On-site +1

Bioinformatics Scientist - NIH - Bethesda, MD Kelly Government Solutions is a strategic supplier ... Collaborate with scientists from other organizations or institutions involved in similar or related ...

Kelly Services

Bioinformatics Scientist

Bethesda, MD · On-site

Bioinformatics Scientist - NIH - Bethesda, MD Kelly Government Solutions is a strategic supplier ... pathways from bulk and single-cell workflows. * Works with staff on scientific programming and ...

Axle

Bioinformatics/Data Scientist

Frederick, MD · On-site

The Standardized Organoid Model Center is an NIH-funded initiative dedicated to advancing organoid ... from organoid systems and corresponding normal tissues. This position is central to the SOM Center ...

Axle

Bioinformatics/Data Scientist

Frederick, MD

The Standardized Organoid Model Center is an NIH-funded initiative dedicated to advancing organoid ... from organoid systems and corresponding normal tissues. This position is central to the SOM Center ...

Axle

Bioinformatics/Data Scientist

Frederick, MD

The Standardized Organoid Model Center is an NIH-funded initiative dedicated to advancing organoid ... from organoid systems and corresponding normal tissues. This position is central to the SOM Center ...

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From Home Nih Bioinformatics information

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How much do from home nih bioinformatics jobs pay per year?

As of Jul 27, 2026, the average yearly pay for from home nih bioinformatics in the United States is $94,474.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,500.00 and $129,500.00 per year, depending on experience, location, and employer.

What is the difference between From Home Nih Bioinformatics vs From Home Nih Data Analyst?

AspectFrom Home Nih BioinformaticsFrom Home Nih Data Analyst
Required CredentialsBachelor's or higher in Bioinformatics, Biology, or related fields; familiarity with bioinformatics toolsBachelor's or higher in Data Science, Statistics, or related fields; proficiency in data analysis software
Work EnvironmentRemote, often collaborative with research teams in biotech or healthcareRemote, typically working with datasets across industries like healthcare, finance, or marketing
Employer & Industry UsageResearch institutions, biotech companies, healthcare organizationsCorporations, research firms, government agencies across various sectors

In summary, From Home Nih Bioinformatics focuses on biological data analysis and requires specific bioinformatics skills, while From Home Nih Data Analyst covers broader data interpretation across industries. Both roles are remote and demand strong analytical skills, but they serve different industry needs and require distinct technical expertise.

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From Home Nih Bioinformatics jobs near you
Infographic showing various From Home Nih Bioinformatics job openings in the United States as of July 2026, with employment types broken down into 10% Locum Tenens, 58% As Needed, 4% Full Time, 1% Part Time, 26% Nights, and 1% Summer. Highlights an 80% Physical, 3% Hybrid, and 17% Remote job distribution, with an average salary of $94,474 per year, or $45.4 per hour.

Bioinformatics/Data Scientist

Nextonic Solutions LLC

Frederick, MD • On-site

$100K - $185K/yr

Full-time

Posted 10 days ago

Job description

Nextonic Solutions is seeking a Bioinformatics/Data Scientist to join our vibrant team at the National Institutes of Health (NIH) supporting the Standardized Organoid Model Center in Frederick, MD. The Standardized Organoid Model Center is an NIH-funded initiative dedicated to advancing organoid research through the development of validated, reproducible, and well-characterized organoid models. The center brings together interdisciplinary teams of researchers to establish standardized protocols, develop quality control measures, and create resources that will benefit the broader organoid research community.


Overview


The Bioinformatics/Data Scientist will conduct comprehensive analyses of multi-omics data generated from organoid systems and corresponding normal tissues. This position is central to the SOM Center's research objectives, focusing on characterizing organoid fidelity, identifying biomarkers of successful differentiation, and developing computational frameworks for organoid quality assessment.


Responsibilities


  • The successful candidate will analyze complex datasets including single-cell RNA sequencing, bulk RNA sequencing, proteomics, and metabolomics data from various organoid systems and their tissue counterparts.
  • The position will develop and implement computational pipelines for data processing, quality control, and statistical analysis.
  • A major component of the role involves integrating SOM-generated data with publicly available datasets to benchmark organoid characteristics against normal tissue profiles.
  • The position requires close collaboration with experimental teams to interpret results and guide protocol optimization, as well as contributing to manuscript preparation and presenting findings at scientific conferences.


Qualifications

  • Candidates must hold a PhD in bioinformatics, computational biology, biostatistics, or a related quantitative field.
  • Extensive experience with single-cell data analysis, including familiarity with tools such as Seurat, Scanpy, or similar platforms, is essential.
  • Strong programming skills in R and Python are required, along with experience in statistical analysis and data visualization.
  • Knowledge of proteomics and metabolomics data analysis workflows is necessary.


Preferred Qualifications


  • Previous experience analyzing organoid datasets is strongly preferred.
  • Experience with machine learning approaches for biological data, familiarity with pathway analysis tools, and knowledge of developmental biology principles will be considered valuable assets.
  • Experience with high-performance computing environments and version control systems is desirable.