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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 ...

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 · 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 ...

RXinsider LTD.

$146 - $234/hr

Monitor bioinformatics pipelines and scientific software systems to identify deviations from ... That's why our benefits and well-being resources are designed to support you--at work, at home, and ...

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

As of Aug 25, 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.

Can I work from home as a bioinformatician?

Bioinformaticians often have the option to work from home, especially if their role involves data analysis, programming, and using bioinformatics tools like R or Python. Many positions offer remote work arrangements, but some may require on-site presence for collaboration or laboratory work. Flexibility depends on the employer and specific job responsibilities.
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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 August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, and 3% Contract. Highlights an 71% Physical, 1% Hybrid, and 28% Remote job distribution, with an average salary of $94,474 per year, or $45.4 per hour.

Senior Bioinformatics Engineer

BiomeSense

Chicago, IL • On-site

$125K - $200K/yr

Full-time

Re-posted 5 days ago

Job description

Senior Bioinformatics Engineer
Compensation: $125K – $200K base +  0.25% - 0.5% equity stock options
About BiomeSense
BiomeSense is a life sciences startup applying gut microbiome (GMB) technologies (GutLab, MetaBiome) to advance personalized medicine. We partner with UCSF, UCSD, NIH & the University of Chicago & are backed by LabCorp Ventures, Bluestein Ventures, Seerave Foundation & Emil Capital Partners.
Position
Help build our MetaBiome platform, a software solution for collecting, curating & analyzing longitudinal GMB & health data at scale. Own the infra, pipelines & analytical workflows that turn raw sequencing data into intelligence, with room to grow into a platform leader.
Responsibilities:
  • Bioinformatics Architecture & Infrastructure - design, implement & maintain auditable backend for GMB data from raw shotgun metagenomic sequencing
  • Data Engineering – build & maintain cloud infra: databases, distributed computing workflows & REST endpoints for microbial sequence & clinical metadata
  • Statistical Analysis – Lead design, execution & documentation of reproducible computational experiments end-to-end
  • Methods Development – Develop & implement novel analytical methodologies & algorithms informed by experimental findings & validated via rigorous evaluation
  • Frontend / Backend Development – Design & implement robust data ingestion interfaces leveraging APIs & clinical ontologies, following best practices

Qualifications
Required
  • B.S. /M.S. /PhD in Computational Biology, Bioinformatics or a related field with 3+ yrs industry experience (biotech start-up ideal)
  • Proficiency in Python & JavaScript & experience in production-quality software
  • PostgreSQL or other relational SQL database proficiency
  • Familiarity with clinical ontologies (SNOMED, ICD-11, ATC, LOINC)
  • Familiarity with AWS & best practices in computer security
  • Proficiency with modern frontend web technologies
  • Excellent communication; translates complex scientific concepts to diverse stakeholders
  • Strong ownership mindset & the ability to execute in fast-moving environments
  • Expertise in bioinformatics pipelines, QC & reproducibility

Preferred
  • NGS data experience
  • Familiarity with longitudinal / repeated-measures biological datasets & GMB-specific challenges (compositional data, variability, confounders)
  • Experience integrating ontologies / standardized vocabularies
  • Exposure to cloud infrastructure, workflow orchestration or containerization
  • Interest in AI/ML for large biological datasets

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