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Medical Data Encoder Jobs (NOW HIRING)

Mithrl

Data Scientist, Knowledge Graphs

San Francisco, CA · On-site

$150K - $200K/yr

Experience with public consortia such as ENCODE, GTEx, TCGA, or ChEMBL, etc. * Prior experience in ... Comprehensive PPO health coverage through Anthem (medical, dental, and vision) + 401(k) with top ...

New England Baptist Hospital

... policy; abstracts other required data items; reviews documentation/orders/signatures for ... Utilization of Meditech, 3M Encoding software, Scanning & Archiving system * Review of all medical ...

LMH Health

Coder

Lawrence, KS · Remote

Use computerized encoding system to facilitate accurate coding according to the appropriate ... Abstract medical data from the record to complete discharge data abstract on each outpatient.

LMH Health

Coder

Lawrence, KS · On-site

Use computerized encoding system to facilitate accurate coding according to the appropriate ... Abstract medical data from the record to complete discharge data abstract on each outpatient.

LMH Health

Coder

Lawrence, KS · Remote

Use computerized encoding system to facilitate accurate coding according to the appropriate ... Abstract medical data from the record to complete discharge data abstract on each outpatient.

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Medical Data Encoder information

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How much do medical data encoder jobs pay per hour?

As of Jun 30, 2026, the average hourly pay for medical data encoder in the United States is $37.33, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $38.46 per hour, depending on experience, location, and employer.

Is it hard to get hired as a medical coder?

Getting hired as a medical data encoder or medical coder can be competitive, but having relevant certifications such as CPC or CCS and strong attention to detail improves job prospects. Employers often seek candidates with knowledge of medical terminology, coding systems, and proficiency in coding software. Entry-level positions are available, but experience and certification can increase chances of employment.

What are the typical daily responsibilities of a Medical Data Encoder?

Medical Data Encoders are primarily responsible for reviewing medical documents and accurately translating patient information into standardized codes for billing, insurance, and record-keeping purposes. A typical day often includes data validation, collaborating with healthcare providers to clarify documentation, and ensuring compliance with industry regulations. Medical Data Encoders may also participate in audits, help optimize data workflow, and support process improvements within their team. The role requires a mix of independent focus and teamwork to ensure that all records are precise and up to date.

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

Success as a Medical Data Encoder requires a strong understanding of medical terminology, coding systems (such as ICD-10 and CPT), and attention to detail, typically supported by a relevant certification or background in healthcare. Familiarity with electronic health record (EHR) systems, specialized coding software, and compliance regulations is essential. Excellent organizational skills, time management, and the ability to work independently or within a team set outstanding candidates apart. These competencies are crucial to ensure accurate data entry, maintain patient record integrity, and support efficient healthcare operations.

What is the highest paid medical coder?

The highest paid medical coders are often certified professional coders (CPCs) with specialized skills in areas like inpatient hospital coding or anesthesia. Senior or experienced coders working in large healthcare organizations or in specialized fields can earn salaries exceeding $70,000 annually. Advanced certifications and extensive experience typically contribute to higher compensation in this field.

Are medical coders going to be replaced by AI?

Medical data encoders, including medical coders, play a crucial role in translating clinical information into standardized codes. While AI and automation tools are increasingly used to assist with coding tasks, human oversight remains essential to ensure accuracy, handle complex cases, and maintain compliance. Therefore, medical coders are likely to work alongside AI rather than be fully replaced in the near future.

What is a Medical Data Encoder job?

A Medical Data Encoder is responsible for accurately entering, managing, and verifying medical data, such as patient records, billing information, and diagnostic codes, into healthcare databases. They ensure data integrity and compliance with medical standards like ICD and CPT coding systems. Attention to detail and knowledge of medical terminology are essential for this role. Medical Data Encoders play a critical part in streamlining healthcare operations and supporting billing and insurance claims processing.

Is CPC in demand?

Medical Data Encoders, including those with Certified Professional Coder (CPC) credentials, are in demand due to the ongoing need for accurate medical coding and billing in healthcare. Strong knowledge of coding systems like ICD-10 and CPT, along with attention to detail, enhances job prospects in this field.
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Medical Data Encoder jobs near you
Infographic showing various Medical Data Encoder job openings in the United States as of June 2026, with employment types broken down into 11% As Needed, 66% Part Time, 17% Contract, and 6% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $77,654 per year, or $37.3 per hour.

Data Scientist, Knowledge Graphs

Mithrl

San Francisco, CA • On-site

$150K - $200K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 2 days ago

Key responsibilities

  • Ingest, harmonize, and version high value public biological datasets and peer reviewed knowledgebases into a unified knowledge graph.

  • Build automated pipelines to curate, expand, and maintain relationships, schemas, and metadata within the knowledge graph.

  • Develop tools and frameworks that allow users to explore, interact with, and build custom knowledge graphs based on their analyses.

Job description

ABOUT MITHRL
We imagine a world where new medicines reach patients in months, not years, and where scientific breakthroughs happen at the speed of thought.
Mithrl is building the world's first commercially available AI Co-Scientist. It is a discovery engine that transforms messy biological data into insights in minutes. Scientists ask questions in natural language, and Mithrl responds with real analysis, novel targets, hypotheses, and patent-ready reports.
Our traction speaks for itself:
  • 12X year-over-year revenue growth
  • Trusted by leading biotechs and big pharma across three continents
  • Driving real breakthroughs from target discovery to patient outcomes.

ABOUT THE ROLE
We are hiring a Data Scientist, Knowledge Graphs to build and scale the biological knowledge layer that powers the Mithrl AI Co-Scientist. This role focuses on ingesting and harmonizing the world's most important biological data sources and curating the relationships that allow our system to reason across pathways, targets, diseases, compounds, and multimodal datasets.
You will ingest data from public consortia and well maintained peer reviewed sources and unify them into a coherent, versioned knowledge graph. You will identify new node types, define relationship schemas, harmonize variable IDs, and ensure metadata remains consistent across all integrated sources. You will also build automated curation pipelines that expand and refine the knowledge graph using both data driven methods and domain logic.
Beyond ingestion and curation, you will create the tools and frameworks that allow users to interact with the knowledge graph and even build their own custom graphs based on the results they generate inside Mithrl. Your work will form the foundation for pathway reasoning, target scoring, evidence aggregation, and multimodal interpretation inside the AI Co-Scientist.
WHAT YOU WILL DO
  • Ingest, harmonize, and version high value public biological datasets such as CellxGene, Gemma, ARCHS4, ENCODE, GTEx, TCGA, etc.
  • Ingest well maintained peer reviewed knowledgebases including OpenTargets, HPA, and similar resources
  • Build automated pipelines to curate and expand relationships inside the knowledge graph
  • Define and evolve schemas for node types, relationships, metadata rules, and ontology alignment
  • Harmonize variable IDs and metadata fields across all imported sources to create a unified knowledge layer
  • Build and maintain versioning, change tracking, and provenance systems for all data and relationships
  • Develop the framework that allows users to build custom knowledge graphs from the analyses they run inside Mithrl
  • Build features that allow users to explore, query, and interact with their graphs
  • Work closely with ML engineers, bioinformatics teams, and discovery application teams to ensure the knowledge graph supports downstream reasoning and analysis
  • Validate the correctness, completeness, and integrity of the knowledge graph across releases

WHAT YOU BRING
Required Qualifications
  • Strong experience in data science, bioinformatics, computational biology, or a related field
  • Experience working with biological knowledgebases, public datasets, or ontology driven systems
  • Familiarity with graph data structures, relationship modeling, and knowledge graph concepts
  • Experience harmonizing heterogeneous biological datasets and mapping variable IDs across sources
  • Proficiency in Python and scientific computing libraries
  • Ability to build ingestion pipelines for structured or semi structured biological data
  • Strong understanding of metadata standards, biological ontologies, and domain logic
  • Ability to translate complex biological information into structured, machine readable representations
  • Excellent communication skills and comfort collaborating across engineering and scientific teams

Nice to Have
  • Experience with graph databases or graph query languages
  • Experience with KG curation, link prediction, relationship extraction, or graph based ML
  • Familiarity with multi modal data integration
  • Previous work on biological or chemical knowledge graphs
  • Experience with public consortia such as ENCODE, GTEx, TCGA, or ChEMBL, etc.
  • Prior experience in a tech bio startup or scientific software environment

WHAT YOU WILL LOVE AT MITHRL
  • You will build the core knowledge layer that the AI Co-Scientist uses to reason about biology
  • Team: Join a tight-knit, talent-dense team of engineers, scientists, and builders
  • Culture: We value consistency, clarity, and hard work. We solve hard problems through focused daily execution
  • Speed: We ship fast (2x/week) and improve continuously based on real user feedback
  • Location: Beautiful SF office with a high-energy, in-person culture
  • Benefits: Comprehensive PPO health coverage through Anthem (medical, dental, and vision) + 401(k) with top-tier plans

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Apply