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Nih Data Science Jobs (NOW HIRING)

Axle

AI/ML Scientist/Developer

Frederick, MD · On-site

$115K - $130K/yr

... and data science applications to research centers and healthcare organizations nationally and ... The Standardized Organoid Model Center is an NIH-funded initiative dedicated to advancing organoid ...

Axle

AI/ML Scientist/Developer

Frederick, MD

$115K - $130K/yr

... and data science applications to research centers and healthcare organizations nationally and ... The Standardized Organoid Model Center is an NIH-funded initiative dedicated to advancing organoid ...

Axle

AI/ML Scientist/Developer

Frederick, MD

... and data science applications to research centers and healthcare organizations nationally and ... The Standardized Organoid Model Center is an NIH-funded initiative dedicated to advancing organoid ...

mPower, Inc.

Data Analyst

Bethesda, MD · On-site

$125K - $165K/yr

Bachelor's degree in Data Analytics, Statistics, Computer Science, Data Science, Mathematics ... Working knowledge of NIH systems such as IMPAC II, NIH RePORTER, QVR, PayPlan, eRA Commons, iSearch ...

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How much do nih data science jobs pay per year?

As of Jul 9, 2026, the average yearly pay for 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 the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables or tasks to optimize model performance and efficiency.

What is an NIH Data Science job?

An NIH Data Science job involves managing, analyzing, and interpreting complex biomedical and health data to support scientific research and policy decisions. Professionals in this field work with big data, machine learning, and computational tools to advance medical discoveries and improve public health outcomes. They may collaborate with researchers, develop data infrastructure, and ensure data privacy and security. These roles exist across various NIH institutes and centers, supporting data-driven decision-making in health sciences.

Is 40 too late for data science?

Data science is a field open to individuals of all ages, and many professionals transition into it later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

What are the key skills and qualifications needed to thrive in the Nih Data Science position, and why are they important?

To thrive as an NIH Data Science professional, you need a strong background in statistics, bioinformatics, and data analysis, typically supported by a degree in a related field such as computer science, mathematics, or public health. Experience with programming languages like Python or R, familiarity with data visualization tools, and knowledge of database management systems are crucial, and certifications in data science or informatics can be advantageous. Strong problem-solving abilities, teamwork, and effective communication skills set exceptional candidates apart. These competencies are vital for extracting meaningful insights from complex biomedical datasets, supporting impactful research, and collaborating across multidisciplinary teams at the NIH.

What are some typical projects or responsibilities for a Data Science professional at the NIH?

Data Science professionals at the NIH often work on projects involving the cleaning, analysis, and interpretation of large-scale biomedical datasets to support research or public health initiatives. Daily work may include designing and implementing algorithms, developing predictive models, and visualizing results to make data-driven recommendations. Collaboration is frequent, with data scientists working alongside researchers, clinicians, and IT specialists to tackle complex scientific questions. Professionals in this role also stay updated with emerging analytical tools and methods, contributing to continuous improvement of research practices. This dynamic environment offers opportunities to advance scientific discovery and develop expertise in high-impact areas of biomedical research.

Can data scientists make $300k?

Data scientists can earn $300,000 or more annually, especially with extensive experience, advanced skills in machine learning, and work at large tech companies or in high-demand industries. Achieving this level often requires specialized knowledge, a strong portfolio, and sometimes leadership roles or consulting work.

How much do NASA data scientists make?

NASA data scientists typically earn between $80,000 and $130,000 annually, depending on experience, education, and location. They often require strong skills in data analysis, programming, and scientific research, with many holding advanced degrees in related fields.
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Nih Data Science jobs near you
Infographic showing various Nih Data Science job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
AI/ML Scientist/Developer

AI/ML Scientist/Developer

Axle

Frederick, MD • On-site

$115K - $130K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 16 days ago

Job description

(ID: 2025-0402)
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 AI/ML Scientist/Developer 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)

Overview
The AI/ML Scientist/Developer will develop innovative computational models to predict and optimize organoid growth and differentiation protocols. This position represents a unique opportunity to apply cutting-edge machine learning techniques to advance organoid standardization and contribute to the development of predictive models for tissue engineering applications.
Responsibilities
  • The successful candidate will design and implement machine learning models that predict organoid development outcomes based on protocol parameters, environmental conditions, and molecular characterization data.
  • They will develop in silico models that can simulate organoid growth dynamics and identify optimal conditions for reproducible organoid generation.
  • The role involves creating feedback loops between experimental validation and computational prediction to iteratively improve protocol standardization.
  • Collaboration with experimental teams to design validation experiments and with data scientists to integrate multi-modal datasets will be essential components of this position.

Required Qualifications
  • Candidates must possess a Master's degree or PhD in computer science, engineering, applied mathematics, or a related field with demonstrated experience in AI/ML model development.
  • Strong programming skills in Python, R, or similar languages are required, along with experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
  • Previous experience applying computational methods in biological laboratory settings is necessary, with knowledge of experimental design principles and biological data types.

Preferred Qualifications
  • Experience with organoid systems or tissue engineering applications is highly desirable.
  • Knowledge of differential equations, systems biology modeling, and experience with deep learning approaches for biological applications will be considered strong assets.
  • Familiarity with cloud computing platforms and containerization technologies is preferred.

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.
Salary Range
$115,000-$130,000 USD

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