Top 33 Epidemiology epidemiologist Jobs in Bethesda Md

Genomics Researcher - AI Trainer
DataAnnotation —Washington, DC
- $40 - $60 an hour
- Part-time
- Remote
- Computer Science
- English
- Mid-level
- Flexible schedule
Quick Apply
Epidemiologist - AI Trainer
DataAnnotation —Maryland
- $40 - $60 an hour
- Part-time
- Remote
- Computer Science
- English
- Mid-level
- Flexible schedule
Quick Apply
Infection Control Preventionist - $7500 Sign-On Bonus
FutureCare —Clinton, MD
- $110,000 - $120,000 a year
- Full-time
- Skilled nursing facility
- RN License
- BLS Certification
- Tuition reimbursement
- Paid time off
Quick Apply
Epidemiologist
Alaka`ina Foundation Family of Companies —Silver Spring, MD
- Mid-level
- Analysis skills
- Bachelor's degree
- Paid holidays
- Disability insurance
Epidemiologist
General Dynamics Information Technology —Silver Spring, MD
- $83,927 - $113,549 a year
- Hybrid work
- Microsoft Excel
- Microsoft Outlook
- Mid-level
- Paid time off
- 401(k) matching
10d
Epidemiologist
Culmen International LLC —Silver Spring, MD
- Full-time
- Doctoral degree
- Master's degree
- Senior level
- Paid holidays
- Health insurance
Epidemiologist Data Scientist
Guidehouse —Washington, DC
- $85,000 - $141,000 a year
- Full-time
- SQL
- Doctor of Philosophy
- Critical & Intensive Care
- Commuter assistance
- Health savings account
2d
Consultant - HEOR/Epidemiology
Berkeley Research Group, LLC —Washington, DC
- $130,000 - $190,000 a year
- Full-time
- Hybrid work
- Management
- Office
- Analysis skills
Public Health Data Analyst
CyberData Technologies —Herndon, VA
- Azure
- Mid-level
- 3 years
- Paid time off
Research Postdoctoral Fellow
Children's National Hospital —Washington, DC
- $40,000 - $150,000 a year
- Full-time
- Medicine
- Analysis skills
- Doctor of Philosophy
- Commuter assistance
- AD&D insurance
Disease Investigator
Department of Health —Washington, DC
- $74,893 - $96,547 a year
- Full-time
- Mid-level
- Office
- Bachelor's degree
8d
Technical Advisor for Epidemiology to the Director of CSEW (DOS/LEAP Global) - Uzbekistan
ZemiTek LLC —Bethesda, MD
- Email
- Office
- Analysis skills
- Senior level
14d
Research Postdoctoral Fellow, Cardiovascular Surgery
Children's National Hospital —Washington, DC
- $40,000 - $150,000 a year
- Full-time
- Medicine
- Surgery
- Analysis skills
- Commuter assistance
- AD&D insurance
Research Scientist - Aging and Disability Economics, Evaluation, and Public Health Surveillance
NORC at the University of Chicago —Washington, DC
- $106,000 - $130,000 a year
- Full-time
- Hybrid work
- Office
- Doctor of Philosophy
- US work authorization
- Paid parental leave
- Paid holidays
RESEARCH SCIENTIST HEALTH ANALYTICS
Healthsperien —Washington, DC
- $125,000 - $185,000 a year
- Email
- Master's degree
- Doctor of Philosophy
- Mentoring
Senior Research Scientist (REMOTE ROLE)
ICF —Reston, VA
- $74,090 - $125,954 a year
- Full-time
- Remote
- 5 years
- Analysis skills
- Project management
14d
Data Scientist III, Cancer Genomics Research Laboratory (CGR)
Frederick National Laboratory —Rockville, MD
- $113,500 - $162,533 a year
- Overtime
- Master's degree
- Bachelor's degree
- Doctor of Philosophy
AI Researcher - AI Trainer
DataAnnotation —Fairfax, VA
- $40 - $60 an hour
- Part-time
- Remote
- Computer Science
- English
- Mid-level
- Flexible schedule
Quick Apply
Postdoctoral fellow
National Institutes of Health —Bethesda, MD
- Analysis skills
- Senior level
Clinical Research Coordinator II - Radiation Oncology
University of Maryland Medical System —Largo, MD
- Full-time
- Nursing
- Patient monitoring
- Mid-level

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Genomics Researcher - AI Trainer

DataAnnotation -
Washington, DC

Quick Apply

Job Details

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

Benefits

Flexible schedule

Qualifications

Software coding
English
Providing code feedback

Full Job Description

DataAnnotation is committed to creating quality AI. Help train AI chatbots while gaining the flexibility of remote work and choosing your own schedule.

We are looking for an existing Genomics Researcher - AI Trainer to help train AI models. 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.

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. You can fit this work alongside a full-time role, or treat it as your primary focus, choosing projects and schedules that align with your availability and goals.

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.

Advantages of contracting with us:

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, on your own computer, from the comfort of your own home.
Competitive pay: projects are paid hourly, up to $60 USD per hour, with bonus rates available on some projects.
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

epidemiology epidemiologist jobs in bethesda md

Genomics Researcher - AI Trainer

Epidemiologist - AI Trainer

Infection Control Preventionist - $7500 Sign-On Bonus

Epidemiologist

Epidemiologist

Epidemiologist

Epidemiologist Data Scientist

Consultant - HEOR/Epidemiology

Public Health Data Analyst

Research Postdoctoral Fellow

Disease Investigator

Technical Advisor for Epidemiology to the Director of CSEW (DOS/LEAP Global) - Uzbekistan

Research Postdoctoral Fellow, Cardiovascular Surgery

Research Scientist - Aging and Disability Economics, Evaluation, and Public Health Surveillance

RESEARCH SCIENTIST HEALTH ANALYTICS

Senior Research Scientist (REMOTE ROLE)

Data Scientist III, Cancer Genomics Research Laboratory (CGR)

AI Researcher - AI Trainer

Postdoctoral fellow

Clinical Research Coordinator II - Radiation Oncology

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