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Weekend Nih Data Science Jobs (NOW HIRING)

Scientific Data Analyst

Arlington, VA · On-site

$110K - $115K/yr

Support data validation, cleansing, and governance per NIH data quality standards Qualifications and Skills: * PhD in bioinformatics, mathematics, statistics, computer science, data science, or ...

Data Manager (Full-Time)

New York, NY · On-site

$60K - $70K/yr

... science research. * Proficiency with data management and analysis tools (e.g., REDCap, Qualtrics, STATA, SAS, R, or Python). * Familiarity with NIH Data Management and Sharing requirements and best ...

Scientific Data Analyst

Arlington, VA · On-site

$110K - $115K/yr

Support data validation, cleansing, and governance per NIH data quality standards Qualifications and Skills: * PhD in bioinformatics, mathematics, statistics, computer science, data science, or ...

... Institutes of Health (NIH). Benefits We Offer: * 100% Medical, Dental & Vision Coverage for ... Data Science Fellow - AI/NLP To be considered for this position, please upload a document as your ...

With experts in biomedical science, software engineering, and program management, we focus on ... Institutes of Health (NIH). Benefits We Offer: * 100% Medical, Dental & Vision Coverage for ...

With experts in biomedical science, software engineering, and program management, we focus on ... Institutes of Health (NIH). Benefits We Offer: * 100% Medical, Dental & Vision Coverage for ...

With experts in biomedical science, software engineering, and program management, we focus on ... Institutes of Health (NIH). Benefits We Offer: * 100% Medical, Dental & Vision Coverage for ...

The Data Science Analyst is responsible for using data science, machine learning, statistical ... or weekends due to project or department needs. Corporate Summary: At Shamrock Foods Company ...

Weekend Schedule Not Applicable International Assignment No Site Description Just as our reputation ... experience in data science will be considered. The preferred candidate will possess a Master ...

$102K - $143K/yr

Weekend Schedule Not Applicable International Assignment No Site Description Just as our reputation ... experience in data science will be considered. The preferred candidate will possess a Master ...

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 ...

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 ...

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 ...

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Weekend Nih Data Science information

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How much do weekend nih data science jobs pay per year?

As of Aug 2, 2026, the average yearly pay for weekend 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 cities are hiring for Weekend Nih Data Science jobs? Cities with the most Weekend Nih Data Science job openings:
What are the most commonly searched types of Nih Data Science jobs? The most popular types of Nih Data Science jobs are:
What states have the most Weekend Nih Data Science jobs? States with the most job openings for Weekend Nih Data Science jobs include:

Scientific Data Analyst

IMAGINEEER LLC

Arlington, VA • On-site

$110K - $115K/yr

Full-time

Medical, Retirement, PTO

Re-posted 23 days ago


Job description

Benefits:
  • 401(k) matching
  • Competitive salary
  • Health insurance
  • Paid time off

About this Role: 
In this role, you will provide computational, data science, and bioinformatics support for Office of Research Innovation, Validation, and Application’s (ORIVA) research validation and application programs across D-NICEATM and DAIBR. 
You will develop and maintain NIH databases, build analytical tools, support computational modeling, and deliver data-driven insights to a multidisciplinary team advancing human-centered biomedical research. This role sits at the intersection of data science, regulatory science, and biomedical research. 
 
Key Responsibilities: 
  1. Develop and execute analytical workflows to process, analyze, and interpret large-scale biomedical datasets  
  2. Apply computational and bioinformatics methods in support of New Approach Methodologies (NAMs) related research objectives  
  3. Maintain and enhance NIH databases and tools through data curation, integration, and interoperability support  
  4. Build and maintain data pipelines and analytical tools using Python, R, or equivalent languages  
  5. Develop and update user support materials, websites, and training resources  
  6. Ensure all published materials meet 508-compliance standards  
  7. Present complex analytical results clearly to scientific and non-technical audiences  
  8. Support data validation, cleansing, and governance per NIH data quality standards 
 
Qualifications and Skills: 
  1. PhD in bioinformatics, mathematics, statistics, computer science, data science, or related field with 4+ years of relevant experience OR Master's degree in an equivalent field with 4 years of additional experience  
  2. Proficiency in at least two programming languages: Python, R, Perl, or equivalent  
  3. Experience with bioinformatics tools, databases, and high-throughput data analysis  
  4. Experience managing and integrating large biomedical or genomic datasets  
  5. Strong background in statistical analysis, data modeling, and computational methods  
  6. U.S. citizenship required; ability to obtain Public Trust clearance 
 
Desired Skills and Competencies: 
  1. Expertise in NAMs or computational toxicology  
  2. Experience with NIH scientific databases and platforms  
  3. Familiarity with in silico modeling, Adverse Outcome Pathway (AOP) frameworks, or ICCVAM/OECD validation standards  
  4. Prior NIH and/or HHS contractor experience  
  5. Experience with cloud platforms or HPC environments  
  6. Peer-reviewed publications in a related field     
 
Equal Opportunity Employer: 
We are an Equal Opportunity Employer and do not discriminate in employment decisions on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other status protected by applicable federal, state, or local laws. All employment decisions are based on business needs, job requirements, and individual qualifications. 

Flexible work from home options available.