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Contract Nih Bioinformatics Jobs (NOW HIRING)

Contemporaries

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Data Engineer

Durham, NC · On-site

$57 - $63/hr

This long-term contract opportunity offers remote work flexibility and will focus on developing and ... Bachelor's degree in Computer Science, Data Engineering, Data Science, Bioinformatics, Statistics ...

New

ECS

Project Manager with Security Clearance

Hampton, VA · Remote

... this contract for NIH NIAID Enabling and Advancing Technologies (NEAT) . All other tasks are ... bioinformatics support, and professional development. The Project Manager will provide professional ...

Mount Sinai Hospital

Postdoctoral Fellow-MSH

Manhattan, NY · On-site

$72K - $80K/yr

Projects in our labs are funded through NIH grants and contracts. Our lab websites and publication ... D. degree is required (a degree in developmental biology, genomics, bioinformatics, and/or computer ...

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All JobsContract Nih Bioinformatics Jobs

Contract Nih Bioinformatics information

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$59.5K

$94.5K

$149.5K

How much do contract nih bioinformatics jobs pay per year?

As of Jun 12, 2026, the average yearly pay for contract 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 are some common challenges faced by Contract NIH Bioinformatics professionals, and how can they prepare to overcome them?

Contract NIH Bioinformatics professionals often encounter challenges such as working with large, complex datasets, adapting to rapidly evolving research priorities, and collaborating across multidisciplinary teams. To overcome these challenges, it's important to stay current with the latest bioinformatics tools and best practices, maintain clear communication with both scientific and technical colleagues, and develop strong project management skills. Being adaptable and proactive in learning new methodologies can also help contract professionals make a meaningful impact in NIH research projects.

What are Contract NIH Bioinformatics professionals?

Contract NIH Bioinformatics professionals are experts in computational biology and data analysis who work on a contractual basis at the National Institutes of Health (NIH). They apply bioinformatics tools and techniques to analyze biological data, such as genomics, proteomics, and clinical datasets, supporting NIH research projects. These professionals often have strong backgrounds in biology, computer science, and statistics, and their work helps advance scientific discoveries by providing insights from complex biological data. Contract roles typically offer flexibility and the opportunity to work on diverse projects while collaborating with leading scientists.

What are the key skills and qualifications needed to thrive as a Contract NIH Bioinformatics Specialist, and why are they important?

To thrive as a Contract NIH Bioinformatics Specialist, you need a strong background in computational biology, data analysis, and a relevant degree in bioinformatics, biology, or computer science. Experience with programming languages like Python or R, familiarity with bioinformatics databases, and knowledge of tools such as BLAST, Galaxy, or Bioconductor are typically required. Excellent problem-solving skills, attention to detail, and effective communication help professionals collaborate with multidisciplinary research teams. These skills are essential to accurately interpret complex biological data and support impactful biomedical research at the NIH.

What is the difference between Contract Nih Bioinformatics vs Contract Data Scientist?

AspectContract Nih BioinformaticsContract Data Scientist
Required CredentialsBachelor's or Master's in Bioinformatics, Biology, Computer ScienceBachelor's or Master's in Data Science, Statistics, Computer Science
Work EnvironmentResearch labs, biotech companies, healthcare institutionsTech firms, healthcare, finance, consulting
Industry UsageBiotech, pharmaceuticals, healthcare researchTechnology, finance, consulting, healthcare
Common Search/ComparisonYesYes

Contract Nih Bioinformatics and Contract Data Scientist roles share similarities in required skills and work environments, but differ mainly in domain focus. Bioinformatics roles emphasize biological data analysis, while Data Scientist roles focus on broader data analytics across industries.

More about Contract Nih Bioinformatics jobs
What cities are hiring for Contract Nih Bioinformatics jobs? Cities with the most Contract Nih Bioinformatics job openings:
What are the most commonly searched types of Nih Bioinformatics jobs? The most popular types of Nih Bioinformatics jobs are:
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What job categories do people searching Contract Nih Bioinformatics jobs look for? The top searched job categories for Contract Nih Bioinformatics jobs are:
Contract Nih Bioinformatics jobs near you
Infographic showing various Contract Nih Bioinformatics job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 71% Full Time, 1% Temporary, and 27% Contract. Highlights an 80% Physical, 2% Hybrid, and 18% Remote job distribution, with an average salary of $94,474 per year, or $45.4 per hour.
Data Engineer

Data Engineer

Contemporaries

Durham, NC • On-site

$57 - $63/hr

Contractor

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

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Job description

Contemporaries Inc. is supporting the National Institute of Environmental Health Sciences (NIEHS) in the recruitment of a Data Engineer to support environmental health and extreme weather research initiatives. This long-term contract opportunity offers remote work flexibility and will focus on developing and optimizing data infrastructure that supports scientific modeling, geospatial analytics, and computational research workflows.


Position Responsibilities:

  • Design and implement optimized database structures to support scientific modeling workflows.
  • Develop and maintain data schemas that ensure efficient querying and storage for large-scale scientific datasets.
  • Develop and enhance PTB, CHORDS, and HEW geospatial database management capabilities.
  • Work with geospatial datasets and data formats such as NetCDF, GeoTIFF, HDF5, and other environmental data standards.
  • Build, document, and maintain end-to-end model pipelines using reproducibility and version control standards.
  • Develop workflows utilizing R-based Targets and Python-based Snakemake frameworks.
  • Implement automated testing frameworks and validation protocols to ensure pipeline reliability and consistency.
  • Develop and test protocols for GPU-accelerated execution of R- and Python-based models.
  • Create documentation and best practices related to GPU resource allocation and performance monitoring.
  • Design, develop, and deploy Shiny applications for real-time data exploration and model output visualization.
  • Ensure visualization applications are user-friendly, performant, and integrated with existing data infrastructure.
  • Optimize R-based models through parallelization, vectorization, and algorithmic improvements.
  • Configure and optimize workflows within high-performance computing environments, including job scheduling and resource management.
  • Port performance-critical components to compiled languages such as C++ or Rust when appropriate.
  • Collaborate with scientific teams to provide technical guidance and support environmental health research initiatives.


Required Qualifications

  • Bachelor's degree in Computer Science, Data Engineering, Data Science, Bioinformatics, Statistics, Environmental Science, or a related field.
  • Minimum of three (3) years of professional experience in data engineering, software engineering, computational research support, or a related field.
  • Strong experience using the R programming language.
  • Experience designing and maintaining database structures supporting large-scale datasets.
  • Experience developing reproducible data pipelines and workflows.
  • Experience with shell scripting, including Bash.
  • Experience working in Linux-based computing environments.
  • Experience with batch job scripting and scheduling tools such as SLURM.
  • Experience developing interactive applications using Shiny.
  • Strong analytical, problem-solving, and technical communication skills.


Preferred Qualifications

  • Experience working with geospatial or environmental datasets.
  • Familiarity with geospatial data formats such as NetCDF, GeoTIFF, and HDF5.
  • Experience using Python for workflow development or automation.
  • Experience utilizing Snakemake, Targets, or similar pipeline orchestration frameworks.
  • Experience supporting high-performance computing environments and GPU-enabled workflows.
  • Experience optimizing code through parallelization, vectorization, or compiled languages such as C++ or Rust.
  • Experience supporting environmental health, climate, or extreme weather research initiatives.
  • Experience supporting NIH, HHS, or other federally funded scientific research programs.
  • Experience contributing to technical documentation, scientific publications, or collaborative research efforts.

Company Description

Contemporaries is a government contracting firm who has been providing HR and Staff support to both federal and private organizations for over 35 years. Specializing in Administrative and related opportunities, while also working with Scientific, IT, Legal, Research, and related opportunities.