Top 49 computational biology Jobs in virginia

Computational Scientist - AI Trainer
DataAnnotation —Vienna, VA
- $40 - $60 an hour
- Part-time
- Remote
- Computer Science
- Writing skills
- English
- Flexible schedule
Quick Apply
Computational Physicist - AI Trainer
DataAnnotation —Newport News, VA
- $40 - $60 an hour
- Part-time
- Remote
- Computer Science
- Writing skills
- English
- Flexible schedule
Quick Apply
Bioinformatics Scientist (Hybrid)
Raytheon Technologies Corporate Headquarters —Arlington, VA
- $95,500 - $181,700 a year
- Full-time
- Hybrid work
- Office
- 3 years
- Analysis skills
- Paid holidays
- Disability insurance
13d
AI Engineer
Howard Hughes Medical Institute —Ashburn, VA
- $96,325.60 - $299,737.10 a year
- Full-time
- Computer Science
- System design
- Office
- Health insurance
- Retirement plan
Data Analyst, SOM, Internal Medicine, Nephrology Division
Virginia Commonwealth University —Richmond, VA
- $60,000 - $70,000 a year
- Full-time
- Computer Science
- Internal Medicine
- Mid-level
- Paid holidays
- Health insurance
Functional Scientific Researcher
IMAGINEEER LLC —Arlington, VA
- $145,000 - $155,000 a year
- Full-time
- Hybrid work
- Master's degree
- Doctor of Philosophy
- 1 year
- Health insurance
- Paid time off
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AI/ML Research Scientist
Noblis —Reston, VA
- $139,800 - $218,475 a year
- Full-time
- Hybrid work
- Computer Science
- Public speaking
- Master's degree
- Health insurance
- Tuition reimbursement
7d
Research Assistant
Virginia Tech —Roanoke, VA
- Overtime
- Analysis skills
- Psychology
- Organizational skills
Research Scientist - School of Dentistry - Department of Oral and Craniofacial Molecular Biology
Virginia Commonwealth University —Richmond, VA
- $80,000 - $100,000 a year
- Full-time
- Analysis skills
- University
- Doctor of Philosophy
- Paid holidays
- Health insurance
Research Technician
Howard Hughes Medical Institute —Ashburn, VA
- $18.40 - $29.93 an hour
- Full-time
- Bachelor's degree
- US work authorization
- Organizational skills
- Health insurance
- Retirement plan
Postdoctoral Associate
Virginia Tech —Blacksburg, VA
- $63,000 - $73,000 a year
- Full-time
- Computer Science
- University
- Doctor of Philosophy
Imaging Research Analyst - School of Medicine, Neurology
Virginia Commonwealth University —Richmond, VA
- $55,000 - $65,000 a year
- Full-time
- Hybrid work
- Computer Science
- Adults
- Mid-level
- Paid holidays
- Health insurance
Post-Doctoral Research Fellow, SOM, Stravitz-Sanyal Institute for Liver Disease, Atlas
Virginia Commonwealth University —Virginia
- $62,232 a year
- Full-time
- Computer Science
- University
- Doctor of Philosophy
Manager of Molecular Genomics and Flow Cytometry
Howard Hughes Medical Institute —Ashburn, VA
- $105,778.90 - $171,890.71 a year
- Full-time
- Management
- US work authorization
- Senior level
- Health insurance
- Retirement plan
Bioinformatics Data Scientist
Zel Technologies —Charlottesville, VA
- Full-time
- Background check
- Computer Science
- Office
- Paid jury duty
- Health savings account
Lead Scientist, GenAI & Research Enablement
Steampunk —McLean, VA
- $125,000 - $160,000 a year
- Computer Science
- Continuous improvement
- Doctor of Philosophy
Research Associate, Department of Genome Sciences
UVA Health —Charlottesville, VA
- Online Application
- Computer Science
- University
- Doctor of Philosophy
Assistant/Associate Professor
Virginia State University —Virginia
- Background check
- University
- Doctor of Philosophy
Biosecurity Expertise
CRDF Global —Arlington, VA
- Maintenance
- Senior level
Bioinformatics Analyst III
Oran Inc —Herndon, VA
- Hybrid work
- 7 years
- Computer Science
- Master's degree
Quick Apply

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computational biology jobs near virginia

Computational Scientist - AI Trainer

DataAnnotation -
Vienna, VA

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Job Details

Part-time | Full-time | Contract
$40 - $60 an hour

Benefits

Flexible schedule

Qualifications

Computational research
Predictive modeling analysis
Software coding
Writing skills
Design of experiments
English
Predictive analytics projects
Providing code feedback

Full Job Description

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule.

We are looking for an experienced Computational Scientist - AI Trainer to help advance AI development. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real-world quantitative experience to validate whether the outputs actually hold up in practice. That's where you come in.

As a member of DataAnnotation's team, you'll work closely with state-of-the-art AI models on tasks like evaluating AI-generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here. Some team members fit this work alongside a full-time role, while others treat it as their primary focus.

To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.

Benefits:

Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
Flexible schedule: choose which projects you take on and when you work.
Competitive pay: projects are paid hourly, up to $60 USD per hour. Opportunities for higher-paying projects are available with strong performance.
Impact: help shape the future of AI systems built to reason about data and analytics.

Responsibilities:

Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.
Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.
Write clear technical explanations and well-documented analytical code.
Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning.

Qualifications:

2+ years of hands-on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.
Some coding experience required, with comfort writing and reviewing analytical code end-to-end.
Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time-series forecasting).
Fluency in English (native or bilingual level) with strong writing skills.
A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus.
Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise).

Note: Payment is made via PayPal. We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand.

Quick Apply

Refine Your Search

computational biology jobs in virginia

Computational Scientist - AI Trainer

Computational Physicist - AI Trainer

Bioinformatics Scientist (Hybrid)

AI Engineer

Data Analyst, SOM, Internal Medicine, Nephrology Division

Functional Scientific Researcher

AI/ML Research Scientist

Research Assistant

Research Scientist - School of Dentistry - Department of Oral and Craniofacial Molecular Biology

Research Technician

Postdoctoral Associate

Imaging Research Analyst - School of Medicine, Neurology

Post-Doctoral Research Fellow, SOM, Stravitz-Sanyal Institute for Liver Disease, Atlas

Manager of Molecular Genomics and Flow Cytometry

Bioinformatics Data Scientist

Lead Scientist, GenAI & Research Enablement

Research Associate, Department of Genome Sciences

Assistant/Associate Professor

Biosecurity Expertise

Bioinformatics Analyst III

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