ZipRecruiter

Log In

1

Nasa Bioinformatics Jobs (NOW HIRING)

KBR

Human Research Application Product Owner

Houston, TX · On-site

$131K - $196K/yr

The NASA Life Sciences Portal (NLSP) is an already implemented system and the established gateway ... Bachelor's or master's degree in biological sciences or bioinformatics. Degrees in information ...

People also search for

All JobsNasa Bioinformatics Jobs

Nasa Bioinformatics information

See salary details

$59.5K

$94.5K

$149.5K

How much do nasa bioinformatics jobs pay per year?

As of Jun 11, 2026, the average yearly pay for nasa 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.

Can I work at NASA with a biology degree?

NASA bioinformatics roles often require a biology degree combined with skills in data analysis, programming, and bioinformatics tools. Candidates typically need relevant research experience, knowledge of computational methods, and may require security clearances or specialized certifications. A biology degree provides a strong foundation, but additional training in bioinformatics and related technologies enhances employability at NASA.

What are the key skills and qualifications needed to thrive as a NASA Bioinformatician, and why are they important?

To thrive as a NASA Bioinformatician, you need a strong background in biology, computer science, and statistics, typically supported by a relevant degree such as bioinformatics, computational biology, or a related field. Familiarity with bioinformatics software, programming languages like Python or R, and experience with databases and high-performance computing are essential. Strong analytical thinking, problem-solving skills, and effective communication are critical soft skills in this role. These competencies are vital for analyzing complex biological data and collaborating with interdisciplinary teams to support NASA’s research in space biology and life sciences.

What are NASA bioinformatics jobs?

NASA bioinformatics jobs involve using computational tools and methods to analyze biological data related to space exploration and research. Professionals in this field work on projects such as studying the effects of space travel on human health, analyzing genetic data from astronauts, and researching microorganisms in space environments. The goal is to support astronaut health, understand life in extreme conditions, and contribute to discoveries that benefit both space missions and life on Earth.

How does a NASA Bioinformatics professional typically collaborate with multidisciplinary teams on space research projects?

NASA Bioinformatics professionals often work closely with biologists, engineers, data scientists, and software developers to analyze complex biological datasets, such as those related to spaceflight effects on human health or microbial life support systems. Collaboration usually involves participating in regular team meetings, sharing data insights, and integrating bioinformatics findings into broader mission objectives. Effective communication and adaptability are key, as the role often requires translating technical results into actionable information for team members from diverse scientific backgrounds.

Can bioinformatics work in NASA?

Bioinformatics professionals can work at NASA in roles related to analyzing biological data from space missions, such as studying microbial life or human health in space. These positions often require skills in data analysis, programming, and knowledge of biological sciences, with some roles involving collaboration with space scientists and engineers.

Does NASA hire biochemists?

Yes, NASA hires biochemists and other life scientists to support research related to space biology, astrobiology, and life support systems. These roles often require a background in biochemistry, molecular biology, or related fields, along with relevant laboratory skills and sometimes security clearances.

What is the difference between Nasa Bioinformatics vs Bioinformatics Technician?

AspectNasa BioinformaticsBioinformatics Technician
Required CredentialsBachelor's or higher in bioinformatics, biology, or related field; experience with data analysis and programmingAssociate's or bachelor's in bioinformatics, biology, or related field; technical training in data management
Work EnvironmentResearch labs, space agencies, government institutions, often interdisciplinary teamsLaboratories, research facilities, hospitals, or biotech companies
Employer & Industry UsageNASA, government agencies, aerospace research, space biology projectsHealthcare, biotech firms, research institutions, academic labs

Nasa Bioinformatics roles focus on applying bioinformatics in space and aerospace contexts, often requiring advanced degrees and interdisciplinary collaboration. Bioinformatics Technicians support data management and analysis in healthcare and research settings, typically with technical training. While both roles involve bioinformatics skills, Nasa Bioinformatics emphasizes space-related applications, whereas Bioinformatics Technicians work in more general biological data environments.

What is the most high paying job in NASA?

The highest paying jobs at NASA typically include senior executive roles such as NASA Administrator or Director of Mission Operations, which can earn salaries exceeding $150,000 annually. These positions require extensive experience, advanced degrees, and leadership skills, often involving overseeing large projects and budgets within the agency.
Infographic showing various Nasa Bioinformatics job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $94,474 per year, or $45.4 per hour.
Post Doctoral.Post Doctoral.Associate

Post Doctoral.Post Doctoral.Associate

University of Pittsburgh

Pittsburgh, PA

$47K - $64K/yr

Other

Posted 13 days ago

Job description

Postdoctoral Associate Researcher in Computational Biology/ Bioinformatics at the Vascular Medicine Institute (VMI), the University of Pittsburgh, School of Medicine, Department of Medicine

We are seeking a highly skilled and motivated postdoctoral associate researcher to join a computational systems biology project funded by NASA, focused on understanding how spaceflight-induced stress drives systemic failure across organs and identifying therapeutic strategies to mitigate these effects. The successful Candidate will work on a high-impact, data-driven initiative aimed at uncovering how microgravity, radiation, and related stressors induce coordinated molecular and cellular dysfunction across multiple organs. The project integrates bulk, single-cell, spatial, and time-series transcriptomic datasets from both animal models and astronaut biospecimens.

Our research group operates at the intersection of computational biology, systems medicine, and translational science within the Vascular Medicine Institute (VMI). We focus on integrating large-scale omics data with mechanistic modeling to uncover systemic drivers of disease. This project provides a unique opportunity to work on NASA spaceflight data while developing broadly applicable frameworks for understanding organ dysfunction and therapeutic intervention.

Key research responsibilities

     Integrate and analyze multi-modal transcriptomic datasets (bulk RNA-seq, single-cell RNA-seq, spatial transcriptomics, and time-series data).

     Identify disease molecular signatures under spaceflight and simulated conditions.

     Construct and analyze gene regulatory networks (GRNs) to infer upstream regulators.

     Develop and apply deep learning-based drug repurposing approaches to identify compounds that reverse space flight-induced regulatory disruptions.

Required skills and qualifications:

     Ph.D. in computational biology, bioinformatics, systems biology, data science, or a related field.

     Strong experience in transcriptomic data analysis, experience with spatial transcriptomics is a plus.

     Demonstrated expertise in statistical learning or machine learning.

     Experience with network biology, pathway analysis, or gene regulatory network inference is highly desirable.

     Ability to work independently on complex, interdisciplinary projects.

Interested applicants should apply via join.pitt.edu requisition #26003096

Apply