ZipRecruiter

Log In

1

Research Coder Jobs (NOW HIRING)

Boston Medical Center

Coder - Anesthesia

$19.25 - $25.50/hr

Research billing rules and regulations for moderately complex new and existing procedures * Demonstrate a commitment to integrating coding compliance standards into daily coding practices. Identify ...

Boston Medical Center

Coder - Anesthesia

$19.25 - $25.50/hr

Research billing rules and regulations for moderately complex new and existing procedures * Demonstrate a commitment to integrating coding compliance standards into daily coding practices. Identify ...

Salem Clinic

Medical Coder

Keizer, OR · On-site

$18.75 - $25/hr

Ability to navigate internet sites to research coding guidelines. * Demonstrate telephone skills and good customer service techniques. * Flexible response to changing needs and duties within ...

CommonSpirit Health

Inpatient Coder II

Centennial, CO · Remote

$22.25 - $27/hr

This is an advanced level coding position that codes and abstracts Inpatient records for data retrieval, analysis, reimbursement and research. Codes and enters diagnostic and procedure codes into a ...

Albanymed

Senior Hospital Coder

Albany, NY · Remote

$64K - $97K/yr

Senior Hospital Coder may be asked to assist with denials work, including researching and writing appeal letters. These individuals are highly skilled and considered experts in medical coding. This ...

Diverse Lynx

Certified Medical Coders - Inpatient

Bronx, NY · On-site

$23.50 - $32/hr

... ability to research coding related issues; competence in coder training; must have CCS and knowledgeable with 3M/HDS coding application. Inpatient and ED experience. This is the pay range that ...

MedKoder

Physician Coder: Radiology

Mandeville, LA · Remote

Able to work independently and research coding scenarios. * Coder is responsible for meeting our daily production goal and our quality goal of consistently averaging a 95% accuracy rate. * Attend ...

next page

Showing results 1-20

All JobsResearch Coder Jobs

Research Coder information

See salary details

$15

$27

$43

How much do research coder jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for research coder in the United States is $27.49, according to ZipRecruiter salary data. Most workers in this role earn between $18.99 and $34.62 per hour, depending on experience, location, and employer.

What is a research coder?

Research coders are professionals who systematically categorize and interpret qualitative or quantitative data for research projects. They review data such as interviews, surveys, or observational notes and assign codes or labels to specific pieces of information according to a coding framework. This process helps researchers identify patterns, themes, and insights within large datasets. Research coders play a crucial role in ensuring the accuracy and reliability of data analysis in academic, market, or social research settings.

What are the key skills and qualifications needed to thrive as a research coder, and why are they important?

To thrive as a Research Coder, you need strong analytical skills, attention to detail, and a background in research methods or data analysis, often supported by a relevant degree. Familiarity with coding software (such as NVivo, ATLAS.ti, or Dedoose) and data management systems is typically required. Excellent organizational skills, critical thinking, and clear communication help ensure accurate and consistent data interpretation. These abilities are crucial for producing reliable research findings and supporting robust, evidence-based conclusions.

What are some typical challenges a research coder might face when working with complex datasets?

Research Coders often encounter challenges such as inconsistent data formats, ambiguous responses, or incomplete information within datasets. Managing these issues requires strong attention to detail, critical thinking, and effective communication with research teams to clarify coding guidelines. Additionally, balancing accuracy with efficiency is key, as projects may have strict deadlines. Collaborating closely with researchers and other coders helps ensure consistent application of coding schemes and high-quality data outputs.

What is the difference between Research Coder vs Data Abstractor?

AspectResearch CoderData Abstractor
CredentialsTypically requires coding certifications, health information management degreesOften requires health information or medical records training, certifications vary
Work EnvironmentHospitals, research institutions, healthcare facilitiesHospitals, clinics, medical record departments
Industry UsageHealthcare research, clinical studies, medical data analysisMedical record review, patient data collection, chart abstraction
Common Search/ComparisonResearch Coder vs Data Abstractor

Research Coders focus on translating medical records into standardized codes for research and billing, often requiring coding certifications. Data Abstractors review and extract relevant patient information from medical records for data collection and analysis. While both roles work within healthcare settings, Research Coders primarily handle coding tasks, whereas Data Abstractors focus on data extraction from records.

More about Research Coder jobs

What states have the most Research Coder jobs?

States with the most job openings for Research Coder jobs include:

What job categories do people searching Research Coder jobs look for?

The top searched job categories for Research Coder jobs are:

Research Coder jobs near you
Infographic showing various Research Coder job openings in the United States as of August 2026, with employment types broken down into 87% Full Time, and 13% Contract. Highlights an 93% In-person, and 7% Remote job distribution, with an average salary of $57,182 per year, or $27.5 per hour.

Research, Coding Agents

Thinking Machines Lab

San Francisco, CA • On-site

$350K - $475K/yr

Full-time

Medical, Dental, Vision, PTO

Posted yesterday

New

Job description

About Thinking Machines
The mission of Thinking Machines is to build AI that extends human will and judgment. We are training frontier models with Inkling, developing Tinker to let people make models their own, and crafting interfaces that broaden human-AI communication. We believe the future worth building is human, and we're hiring people who want to build it.
About the Role
  • The Coding Agents team makes our models world-class at agentic coding - writing, debugging, and reasoning about code across long-horizon, multi-turn tasks.
  • You'll join a small, high-leverage team responsible for the recipes, data, and infrastructure behind coding capability gains in every model release.
  • The team owns the full coding post-training stack: synthetic and human data generation, RL environments and sandboxes, reward and grading design, and large-scale training runs.
  • This is a research role with real ownership - you'll shape technical direction, not just execute against a spec.

Note: This is an "evergreen role" that we keep open on an on-going basis to express interest in this research area. We receive many applications, and there may not always be an immediate role that aligns perfectly with your experience and skills. Still, we encourage you to apply. We continuously review applications and reach out to applicants as new opportunities open. You are welcome to reapply if you get more experience, but please avoid applying more than once every 6 months. You may also find that we put up postings for singular roles for separate, project or team specific needs. In those cases, you're welcome to apply directly in addition to an evergreen role.
What You'll Do
  • Design and run RL training jobs targeting agentic coding capabilities, iterating on recipes and data.
  • Build and improve the sandboxed coding environments and reward signals that models are trained and evaluated against.
  • Generate and curate high-quality synthetic coding data, and build scalable, general-purpose data pipelines.
  • Design evals that measure real-world coding usefulness, and train models against them to deliver concrete improvements in day-to-day usability.
  • Debug and analyze large RL runs to catch confounders, reward hacking, and other RL failure modes.
  • Collaborate closely with infra, evals, and other post-training teams on shared data, joint training runs, and usability improvements - and ship the results into model releases.
Skills and Qualifications
Minimum qualifications:
  • Strong engineering skills, ability to contribute code and debug in complex codebases.
  • Proficiency in Python and familiarity with at least one deep learning framework (e.g., PyTorch, TensorFlow, or JAX). Comfortable with debugging distributed training and writing code that scales.
  • Bachelor's degree or equivalent experience in Computer Science, Machine Learning, Physics, Mathematics, or a related discipline with strong theoretical and empirical grounding.
  • Clarity in communication, an ability to explain complex technical concepts in writing.

Preferred qualifications - we encourage you to apply even if you don't meet all preferred qualifications, but at least some:
  • Experience building synthetic data pipelines and systems that were adopted by others on your team and remain in use today.
  • Experience owning the end-to-end cycle of identifying gaps in model usability and closing them through custom evaluations and training data.
  • Experience making large-scale agentic RL infrastructure reliable given the long tail of failures that surface at scale.
  • Experience improving the coding capabilities of a frontier model.
  • PhD in Computer Science, Machine Learning, Physics, Mathematics, or a related discipline with strong theoretical and empirical grounding; or, equivalent industry research experience.
Logistics
  • Location: This role is based in San Francisco, California.
  • Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $350,000 - $475,000 USD.
  • Visa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together.
  • Benefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.

Apply