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Full Time Nih Data Science Jobs (NOW HIRING)

Axle

Bioinformatics/Data Scientist

Frederick, MD

With experts in biomedical science, software engineering, and program management, we focus on ... The Standardized Organoid Model Center is an NIH-funded initiative dedicated to advancing organoid ...

Axle

Bioinformatics/Data Scientist

Frederick, MD · On-site

With experts in biomedical science, software engineering, and program management, we focus on ... The Standardized Organoid Model Center is an NIH-funded initiative dedicated to advancing organoid ...

Prescient Edge

Data Science Lead

Doral, FL · On-site

Job Title Data Science Lead Location Doral, FL 33122 US (Primary) Category Intelligence Job Type Full-Time Career Level Staff Education Master's Degree Travel Security Clearance Required TS/SCI ...

US Venture, Inc.

Data Science Intern

Appleton, WI · On-site

S. Venture Data and Analytics team as a Data Science Intern for Summer 2027! U.S. Venture ... a full-time basis and must not require U.S. Venture's sponsorship to continue to work legally in ...

Walmart

(USA) Director, Data Science

Bentonville, AR · On-site

$130K - $260K/yr

... full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

Allied Solutions LLC

Data Science Intern

Carmel, IN · On-site

This is a full-time internship (40-hours per week) based at our headquarters in Carmel, IN. The Data Science Intern will join the Data Intelligence team and gain hands-on experience applying data ...

Allied Solutions LLC

Data Science Intern

Carmel, IN · On-site

This is a full-time internship (40-hours per week) based at our headquarters in Carmel, IN. The Data Science Intern will join the Data Intelligence team and gain hands-on experience applying data ...

Walmart

(USA) Director, Data Science

Decatur, AR · On-site

$130K - $260K/yr

... full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

Walmart

(USA) Director, Data Science

Farmington, AR · On-site

$130K - $260K/yr

... full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

Walmart

(USA) Director, Data Science

Fayetteville, AR · On-site

$130K - $260K/yr

... full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

Walmart

(USA) Director, Data Science

Noel, MO · On-site

$130K - $260K/yr

... full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

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How much do full time nih data science jobs pay per year?

As of Sep 14, 2026, the average yearly pay for full time nih data science in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is a full time NIH data science?

Full Time NIH Data Science jobs refer to positions at the National Institutes of Health (NIH) where professionals apply data science methods to biomedical research and public health initiatives. These roles typically involve analyzing large datasets, developing computational tools, and collaborating with researchers to advance scientific discoveries. Data scientists at NIH work full-time, contributing to projects such as genomics, clinical trials, and disease modeling. These positions often require expertise in statistics, programming, and a strong understanding of biological or medical data.

What types of projects do NIH data science professionals typically work on?

NIH Data Science professionals often collaborate on interdisciplinary projects that involve analyzing large biomedical datasets, developing statistical models, and creating data-driven solutions to advance medical research. Common responsibilities include working with researchers to clean, manage, and interpret data from clinical trials, genomics, or public health studies. These projects directly support scientific discoveries and can influence healthcare policy, making the role highly impactful. Teamwork is essential, as data scientists regularly consult with biologists, clinicians, and IT specialists to ensure data integrity and meaningful analysis.

What are the key skills and qualifications needed to thrive as a full time NIH data scientist?

To thrive as a Full Time NIH Data Scientist, you need a strong background in statistics, programming (Python or R), and data analysis, often supported by an advanced degree in data science, bioinformatics, or a related field. Familiarity with scientific computing tools, machine learning frameworks, and experience with large biomedical datasets are typically required, along with knowledge of data management systems. Excellent problem-solving, communication, and collaboration skills are crucial for translating complex data into meaningful scientific insights and working effectively within research teams. These skills are critical for advancing biomedical research, ensuring data integrity, and supporting impactful decision-making at the NIH.

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Bioinformatics/Data Scientist

Frederick, MD

Axle
See more jobs at Axleexternal

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 25 days ago

Job description

(ID: 2025-0696)


Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers and healthcare organizations nationally and abroad. With experts in biomedical science, software engineering, and program management, we focus on developing and applying research tools and techniques to empower decision-making and accelerate research discoveries. We work with some of the top research organizations and facilities in the country including multiple institutes at the National Institutes of Health (NIH).

Axle 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.

Benefits We Offer:

  • 100% Medical, Dental & Vision Coverage for Employees
  • Paid Time Off and Paid Holidays
  • 401K match up to 5%
  • Educational Benefits for Career Growth
  • Employee Referral Bonus
  • Flexible Spending Accounts:
    • Healthcare (FSA)
    • Parking Reimbursement Account (PRK)
    • Dependent Care Assistant Program (DCAP)
    • Transportation Reimbursement Account (TRN)

Cover Letter Required — Please Answer the Following Questions and Submit Application at: Bioinformatics/Data Scientist
To be considered for this position, please upload a document as your Cover Letter that answers the six questions below. Applications submitted without this document will not be considered.

  1. What experience do you have working with large datasets and compute clusters?
  2. Describe your experience building workflows/pipelines and/or using bioinformatics software and tools to analyze data.
  3. What programming languages are you comfortable using for bioinformatics data analysis?
  4. What bioinformatics areas are you familiar with? (e.g., single cell, bulk genomics, transcriptomics, epigenetics, flow, spatial, metagenomics, etc.)
  5. What life science disciplines do you have experience in? (e.g., immunology, infectious disease, cancer research, etc.)
  6. Provide examples of basic machine learning/AI concepts and/or how you've applied them in bioinformatics data analysis.

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.

Required 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.

Disclaimer: The above description is meant to illustrate the general nature of work and level of effort being performed by individuals assigned to this position or job description. This is not restricted as a complete list of all skills, responsibilities, duties, and/or assignments required. Individuals may be required to perform duties outside of their position, job description or responsibilities as needed.

The diversity of Axle's employees is a tremendous asset. We are firmly committed to providing equal opportunity in all aspects of employment and will not tolerate any illegal discrimination or harassment based on age, race, gender, religion, national origin, disability, marital status, covered veteran status, sexual orientation, status with respect to public assistance, and other characteristics protected under state, federal, or local law and to deter those who aid, abet, or induce discrimination or coerce others to discriminate.

Accessibility: If you need an accommodation as part of the employment process please contact: careers@axleinfo.com

This role has a market-competitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidate's experience, qualifications, skills, and location.

 #IND

Salary Range
$105,000—$120,000 USD