Is the Senior Data & AI Engineer position at CareDx, Inc. fully remote?

Yes, this Senior Data & AI Engineer position at CareDx, Inc. is a remote position. The role is available for candidates in United States.

Is this a full-time or part-time Senior Data & AI Engineer role?

This is a full-time Senior Data & AI Engineer position at CareDx, Inc..

What benefits does CareDx, Inc. offer for this position?

CareDx, Inc. offers the following benefits: Commuter Benefits.

What is the salary range for the Senior Data & AI Engineer position?

The salary range for this Senior Data & AI Engineer role is $126k - $187k.

How do I apply for the Senior Data & AI Engineer position at CareDx, Inc.?

You can apply for this Senior Data & AI Engineer position by clicking the "Apply Now" button on this page, which will take you to CareDx, Inc.'s application portal.

Senior Data & AI Engineer at CareDx, Inc.

United States

$126k - $187k

<div class="content-intro"> </div>CareDx is a leading precision medicine diagnostics company advancing care in transplant, specialty oncology, and cell therapy. Through our innovative portfolio of molecular diagnostics, digital health solutions, AI-powered data and analytics, and patient support services, we partner with healthcare providers, patients, and biopharma organizations to help inform clinical decision-making and improve patient outcomes. <div class="x_x_elementToProof">At CareDx, every employee has the opportunity to contribute to innovations that help transform patient care and improve lives.</div> The Senior Data and AI Engineer will serve as a senior hands-on technical owner for solutions that transform structured and unstructured data from real-world electronic medical records (EMRs) into reliable, standardized clinical data. The role will design and deliver data engineering and clinical natural language processing (NLP) pipelines to integrate, identify, and normalize diseases, diagnoses, laboratory tests and results, demographics, signs and symptoms, medications, procedures, and other information supporting clinical, scientific, and business operations. This role combines data engineering, clinical NLP, medical terminology and ontology expertise, applied AI, OMOP data modeling, and production software engineering. The engineer will harmonize structured EMR data, interpret clinical narratives, and integrate these sources into a transplant-focused OMOP Common Data Model (CDM). Success requires sound technical judgment, strong clinical domain knowledge, close collaboration with clinicians, and ownership from data integration and validation through deployment and ongoing production support. Responsibilities:  <ul> <li style="font-family: 'times new roman', times, serif; font-size: 12pt;">Own the design, implementation, testing, deployment, and maintenance of pipelines that integrate structured EMR data and process unstructured clinical narratives.</li> <li style="font-family: 'times new roman', times, serif; font-size: 12pt;">Develop entity and relationship extraction workflows for diagnoses, symptoms, laboratory results, demographics, medications, allergies, and procedures, linking findings to relevant values, units, doses, routes, frequencies, anatomical sites, and dates.</li> <li style="font-family: 'times new roman', times, serif; font-size: 12pt;">Normalize structured source codes and extracted clinical concepts using ICD, SNOMED CT, RxNorm, LOINC, and other appropriate terminologies; manage local codes, synonyms, abbreviations, ambiguous mappings, terminology versions, and hospital-specific language.</li> <li style="font-family: 'times new roman', times, serif; font-size: 12pt;">Implement clinical context interpretation, including negation, uncertainty, temporality, experiencer, and treatment status. Distinguish current conditions from historical, family, hypothetical, and ruled-out findings.</li> <li style="font-family: 'times new roman', times, serif; font-size: 12pt;">Handle clinical note structure, copied-forward content, conflicting statements, and information spanning sentences or encounters. Reconcile extracted findings with structured EMR records using defined source and time precedence rules while retaining discrepancies, source evidence, and clinical timelines.</li> <li style="font-family: 'times new roman', times, serif; font-size: 12pt;">Build and evaluate hybrid approaches using rules, dictionaries, statistical or deep learning models, and LLMs; apply structured output validation and terminology checks to prevent unsupported facts and invalid codes.</li> <li style="font-family: 'times new roman', times, serif; font-size: 12pt;">Partner with clinicians to define clinical data schemas, source mappings, annotation guidelines, reference datasets, and acceptance criteria; resolve annotation disagreements and translate clinical requirements into engineering specifications.</li> <li style="font-family: 'times new roman', times, serif; font-size: 12pt;">Measure entity, relationship, assertion, and normalization performance; conduct clinical error analysis and validate generalization across hospitals, specialties, and note types using patient-level data separation and checks for data leakage.</li> <li style="font-family: 'times new roman', times, serif; font-size: 12pt;">Preserve source text, note and encounter identifiers, extraction provenance, model and terminology versions, and review status. Establish confidence thresholds and human review workflows for ambiguous or high-impact outputs.</li> <li style="font-family: 'times new roman', times, serif; font-size: 12pt;">Build ETL workflows, APIs, and validation controls to harmonize structured EMR fields and NLP outputs, including patient and encounter linkage, units, timestamps, and duplicate records; monitor data quality, throughput, reliability, and model performance, and resolve production issues.</li> <li style="font-family: 'times new roman', times, serif; font-size: 12pt;">Document architecture and operational procedures, lead code and design reviews, mentor engineers, and communicate technical tradeoffs to clinical, scientific, product, and engineering stakeholders.</li> <li style="font-family: 'times new roman', times, serif; font-size: 12pt;">Follow security, privacy, and compliance requirements for sensitive healthcare data, including HIPAA-aligned practices, least-privilege access, appropriate logging, and secure data handling.</li> <li style="font-family: 'times new roman', times, serif; font-size: 12pt;">Design and maintain mappings and transformation pipelines for a transplant-focused OMOP CDM, representing transplant procedures, donor and recipient information, immunosuppressive therapies, laboratory results, rejection episodes, and longitudinal outcomes using appropriate standard concepts and documented extensions where needed.</li> </ul> <h1>Qualifications</h1> <ul> <li style="font-family: 'times new roman', times, serif; font-size: 12pt;">Education: Master’s or Ph.D. degree in Computer Science, Computational Linguistics, Biomedical Informatics, Data Science, Engineering, or a related field, or equivalent practical experience.</li> <li style="font-family: 'times new roman', times, serif; font-size: 12pt;">Experience: 7+ years of relevant experience in NLP, machine learning, or applied AI engineering, including 3+ years developing clinical NLP solutions using real-world EHR or hospital notes, with demonstrated delivery of production solutions.</li> <li style="font-family: 'times new roman', times, serif; font-size: 12pt;">Advanced Python and SQL skills, with experience using pandas or comparable data-processing tools, relational data modeling, ETL orchestration, incremental processing, schema validation, and automated data-quality checks.</li> <li style="font-family: 'times new roman', times, serif; font-size: 12pt;">Hands-on experience integrating structured EMR data through HL7 FHIR, HL7 v2, APIs, or database extracts; ability to align patient and encounter records, normalize units and timestamps, manage duplicates, and reconcile conflicting clinical sources.</li> <li style="font-family: 'times new roman', times, serif; font-size: 12pt;">Hands-on experience with the OMOP Common Data Model and OHDSI standardized vocabularies, including source-to-standard concept mapping, vocabulary relationships, and ETL development to transform structured EMR data and clinical NLP outputs into appropriate OMOP tables.</li> <li style="font-family: 'times new roman', times, serif; font-size: 12pt;">Experience validating OMOP data for conformance, completeness, and plausibility, with traceable source mappings and quality controls for longitudinal clinical records.</li> <li style="font-family: 'times new roman', times, serif; font-size: 12pt;">Hands-on experience with clinical entity recognition and linking, relationship extraction, assertion detection, and temporal extraction, including clinical sentence and section detection, abbreviation disambiguation, negation, uncertainty, and experiencer identification.</li> <li style="font-family: 'times new roman', times, serif; font-size: 12pt;">Experience implementing clinical NLP pipelines using medspaCy, scispaCy, cTAKES, or comparable frameworks, combining rules, dictionaries, and machine learning based on task requirements and measured performance.</li> <li style="font-family: 'times new roman', times, serif; font-size: 12pt;">Practical expertise with ICD, SNOMED CT, RxNorm, LOINC, and UMLS, including terminology services, value sets, semantic types, ontology hierarchies, concept retrieval and disambiguation, local-code crosswalks, and terminology version management; experience with unit normalization using UCUM or equivalent methods.</li> <li style="font-family: 'times new roman', times, serif; font-size: 12pt;">Experience applying and evaluating transformer models using PyTorch, TensorFlow, or equivalent frameworks and Hugging Face Transformers or comparable tooling; hands-on experience with LLM-based clinical extraction, schema-constrained outputs, and terminology-grounded validation.</li> <li style="font-family: 'times new roman', times, serif; font-size: 12pt;">Strong understanding of medical terminology, common diseases, laboratory measurements, medications, and clinical workflows. Ability to apply clinical reasoning to interpret documentation, distinguish evidence from inference, select appropriate concept specificity, and recognize ambiguous findings requiring clinician review.</li> <li style="font-family: 'times new roman', times, serif; font-size: 12pt;">Experience creating clinician-reviewed reference datasets and annotation guidelines; measuring precision, recall, and F1 for extraction, normalization, and assertion tasks; preventing patient-level data leakage; and evaluating performance across source systems and note types.</li> <li style="font-family: 'times new roman', times, serif; font-size: 12pt;">Experience building production APIs or services, deploying containerized applications on a cloud platform, and using Git, automated testing, CI/CD, model and data versioning, monitoring, batch inference, error recovery, and performance testing.</li> <li style="font-family: 'times new roman', times, serif; font-size: 12pt;">Demonstrated ability to lead technical work independently, mentor engineers, document designs and operational procedures, and communicate tradeoffs clearly to clinicians, clinical informaticists, scientists, data engineers, and business stakeholders.</li> </ul> <h1>Preferred Qualifications</h1> <ul> <li style="font-family: 'times new roman', times, serif; font-size: 12pt;">Experience with transplant clinical data or research, including donor and recipient characteristics, immunosuppressive therapies, graft function, rejection, and longitudinal outcomes.</li> <li style="font-family: 'times new roman', times, serif; font-size: 12pt;">Experience with OHDSI tools such as Usagi, Achilles, or Data Quality Dashboard, and designing documented OMOP extensions when standard concepts or structures do not adequately represent domain requirements.</li> <li style="font-family: 'times new roman', times, serif; font-size: 12pt;">Experience adapting or fine-tuning biomedical or clinical language models, active learning, distributed processing, and optimizing inference for high-volume clinical data.</li> <li style="font-family: 'times new roman', times, serif; font-size: 12pt;">Experience with OCR and document layout processing for scanned clinical records, including assessment of how OCR errors affect extraction quality.</li> </ul> Additional Details:  Every individual at CareDx has a direct impact on our collective mission to improve the lives of organ transplant patients worldwide. We believe in taking great care of our people, so they take even greater care of our patients.  Our competitive Total Rewards package for US Employees includes: <ul> <li style="font-size: 12pt; font-family: 'times new roman', times, serif;">Competitive base salary and incentive compensation</li> <li style="font-size: 12pt; font-family: 'times new roman', times, serif;">Health and welfare benefits, including a gym reimbursement program</li> <li style="font-size: 12pt; font-family: 'times new roman', times, serif;">401(k) savings plan match</li> <li style="font-size: 12pt; font-family: 'times new roman', times, serif;">Employee Stock Purchase Plan</li> <li style="font-size: 12pt; font-family: 'times new roman', times, serif;">Pre-tax commuter benefits</li> <li style="font-size: 12pt; font-family: 'times new roman', times, serif;">And more!</li> <li style="font-size: 12pt; font-family: 'times new roman', times, serif;">Please refer to our page to view detailed benefits at <a href="https://caredx.com/company/careers/" target="_blank">https://caredx.com/company/careers</a></li> </ul> In addition, we have a Living Donor Employee Recovery Policy that allows up to 30 days of paid leave annually to a full-time employee who makes the selfless act of donating an organ or bone marrow. With products that are making a difference in the lives of transplant patients today and a promising pipeline for the future, it’s an exciting time to be part of the CareDx team. Join us in partnering with transplant patients to transform our future together. CareDx, Inc. is an Equal Opportunity Employer-vets/disabled, and participates in the E-Verify program. By proceeding with our application and submitting your information, you acknowledge that you have read our <a href="https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.caredx.com%2Fus-personnel-privacy-notice&data=05%7C02%7C%7C7909ec363e2b416b016a08de7886b61c%7C9ec77d4e480144b4b8fea5749eaf06b0%7C1%7C0%7C639080717137822026%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=rz649lSGHm5Ca8UOMhbSARMbRhbyMFHdOgEEBXImKs4%3D&reserved=0" target="_blank">U.S. Personnel Privacy Notice</a><a href="https://nam04.safelinks.protection.outlook.com/?url=http%3A%2F%2Fcaredx.com%2Fus-personnel-privacy-notice%2F&data=05%7C02%7C%7C82daf31a87e44746b2ea08dceef5e348%7C9ec77d4e480144b4b8fea5749eaf06b0%7C1%7C0%7C638647987067924758%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=fvNqQdyyA0YaWb3Y4bxHjbbzsxfJ4EmKAEMFQr39KnU%3D&reserved=0" target="_blank"> </a>and consent to receive email communication from CareDx. Certain jurisdictions require notice of how we use and protect your personal information. For more information, please read our <a href="https://caredx.com/privacy-center/#ca-privacy">Privacy Policy</a> The U.S. EEO posters are available <a class="HyperlinkV2 SCXO121329444 BCX8" href="http://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf" target="_blank">here</a>.  Note: We do not accept resumes from headhunters, placement agencies, or other suppliers that have not signed a formal agreement with us.    #LI-Remote<div class="content-pay-transparency"><div class="pay-input"><div class="description">This is the anticipated base salary range for candidates who will work in Brisbane, California. The final salary offered to a successful candidate will be dependent on several factors that may include, but are not limited to, the type and length of experience within the job, the type and length of experience within the industry, education, etc. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives and restricted stock units. CareDx is a multi-state employer, and this salary range may not reflect positions that work in other states.</div><div class="title">San Francisco Bay Area Roles</div><div class="pay-range">$145,000—$187,000 USD</div></div><div class="pay-input"><div class="description">This is the anticipated base salary range in the United States. The final salary offered to a successful candidate will be dependent on several factors that may include, but are not limited to, the type and length of experience within the job, the type and length of experience within the industry, education, etc. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives and restricted stock units. CareDx is a multi-state employer, and this salary range may not reflect positions that work in other states.</div><div class="title">Remote: US only roles</div><div class="pay-range">$126,000—$158,000 USD</div></div></div>

Apply Now

Remote Opportunity

Senior Data & AI Engineer

Join CareDx, Inc. as a senior professional working remotely from United States. Explore the role, benefits, and apply in one place.

Senior Data & AI Engineer

CareDx, Inc.

Full Time

$126k - $187k

7 hours ago

CareDx is a leading precision medicine diagnostics company advancing care in transplant, specialty oncology, and cell therapy. Through our innovative portfolio of molecular diagnostics, digital health solutions, AI-powered data and analytics, and patient support services, we partner with healthcare…

United States

Senior

Python

SQL

Clinical NLP

+5 more

Job Description

At CareDx, every employee has the opportunity to contribute to innovations that help transform patient care and improve lives.

The Senior Data and AI Engineer will serve as a senior hands-on technical owner for solutions that transform structured and unstructured data from real-world electronic medical records (EMRs) into reliable, standardized clinical data. The role will design and deliver data engineering and clinical natural language processing (NLP) pipelines to integrate, identify, and normalize diseases, diagnoses, laboratory tests and results, demographics, signs and symptoms, medications, procedures, and other information supporting clinical, scientific, and business operations.

This role combines data engineering, clinical NLP, medical terminology and ontology expertise, applied AI, OMOP data modeling, and production software engineering. The engineer will harmonize structured EMR data, interpret clinical narratives, and integrate these sources into a transplant-focused OMOP Common Data Model (CDM). Success requires sound technical judgment, strong clinical domain knowledge, close collaboration with clinicians, and ownership from data integration and validation through deployment and ongoing production support.

Responsibilities:

Own the design, implementation, testing, deployment, and maintenance of pipelines that integrate structured EMR data and process unstructured clinical narratives.
Develop entity and relationship extraction workflows for diagnoses, symptoms, laboratory results, demographics, medications, allergies, and procedures, linking findings to relevant values, units, doses, routes, frequencies, anatomical sites, and dates.
Normalize structured source codes and extracted clinical concepts using ICD, SNOMED CT, RxNorm, LOINC, and other appropriate terminologies; manage local codes, synonyms, abbreviations, ambiguous mappings, terminology versions, and hospital-specific language.
Implement clinical context interpretation, including negation, uncertainty, temporality, experiencer, and treatment status. Distinguish current conditions from historical, family, hypothetical, and ruled-out findings.
Handle clinical note structure, copied-forward content, conflicting statements, and information spanning sentences or encounters. Reconcile extracted findings with structured EMR records using defined source and time precedence rules while retaining discrepancies, source evidence, and clinical timelines.
Build and evaluate hybrid approaches using rules, dictionaries, statistical or deep learning models, and LLMs; apply structured output validation and terminology checks to prevent unsupported facts and invalid codes.
Partner with clinicians to define clinical data schemas, source mappings, annotation guidelines, reference datasets, and acceptance criteria; resolve annotation disagreements and translate clinical requirements into engineering specifications.
Measure entity, relationship, assertion, and normalization performance; conduct clinical error analysis and validate generalization across hospitals, specialties, and note types using patient-level data separation and checks for data leakage.
Preserve source text, note and encounter identifiers, extraction provenance, model and terminology versions, and review status. Establish confidence thresholds and human review workflows for ambiguous or high-impact outputs.
Build ETL workflows, APIs, and validation controls to harmonize structured EMR fields and NLP outputs, including patient and encounter linkage, units, timestamps, and duplicate records; monitor data quality, throughput, reliability, and model performance, and resolve production issues.
Document architecture and operational procedures, lead code and design reviews, mentor engineers, and communicate technical tradeoffs to clinical, scientific, product, and engineering stakeholders.
Follow security, privacy, and compliance requirements for sensitive healthcare data, including HIPAA-aligned practices, least-privilege access, appropriate logging, and secure data handling.
Design and maintain mappings and transformation pipelines for a transplant-focused OMOP CDM, representing transplant procedures, donor and recipient information, immunosuppressive therapies, laboratory results, rejection episodes, and longitudinal outcomes using appropriate standard concepts and documented extensions where needed.

Qualifications

Education: Master’s or Ph.D. degree in Computer Science, Computational Linguistics, Biomedical Informatics, Data Science, Engineering, or a related field, or equivalent practical experience.
Experience: 7+ years of relevant experience in NLP, machine learning, or applied AI engineering, including 3+ years developing clinical NLP solutions using real-world EHR or hospital notes, with demonstrated delivery of production solutions.
Advanced Python and SQL skills, with experience using pandas or comparable data-processing tools, relational data modeling, ETL orchestration, incremental processing, schema validation, and automated data-quality checks.
Hands-on experience integrating structured EMR data through HL7 FHIR, HL7 v2, APIs, or database extracts; ability to align patient and encounter records, normalize units and timestamps, manage duplicates, and reconcile conflicting clinical sources.
Hands-on experience with the OMOP Common Data Model and OHDSI standardized vocabularies, including source-to-standard concept mapping, vocabulary relationships, and ETL development to transform structured EMR data and clinical NLP outputs into appropriate OMOP tables.
Experience validating OMOP data for conformance, completeness, and plausibility, with traceable source mappings and quality controls for longitudinal clinical records.
Hands-on experience with clinical entity recognition and linking, relationship extraction, assertion detection, and temporal extraction, including clinical sentence and section detection, abbreviation disambiguation, negation, uncertainty, and experiencer identification.
Experience implementing clinical NLP pipelines using medspaCy, scispaCy, cTAKES, or comparable frameworks, combining rules, dictionaries, and machine learning based on task requirements and measured performance.
Practical expertise with ICD, SNOMED CT, RxNorm, LOINC, and UMLS, including terminology services, value sets, semantic types, ontology hierarchies, concept retrieval and disambiguation, local-code crosswalks, and terminology version management; experience with unit normalization using UCUM or equivalent methods.
Experience applying and evaluating transformer models using PyTorch, TensorFlow, or equivalent frameworks and Hugging Face Transformers or comparable tooling; hands-on experience with LLM-based clinical extraction, schema-constrained outputs, and terminology-grounded validation.
Strong understanding of medical terminology, common diseases, laboratory measurements, medications, and clinical workflows. Ability to apply clinical reasoning to interpret documentation, distinguish evidence from inference, select appropriate concept specificity, and recognize ambiguous findings requiring clinician review.
Experience creating clinician-reviewed reference datasets and annotation guidelines; measuring precision, recall, and F1 for extraction, normalization, and assertion tasks; preventing patient-level data leakage; and evaluating performance across source systems and note types.
Experience building production APIs or services, deploying containerized applications on a cloud platform, and using Git, automated testing, CI/CD, model and data versioning, monitoring, batch inference, error recovery, and performance testing.
Demonstrated ability to lead technical work independently, mentor engineers, document designs and operational procedures, and communicate tradeoffs clearly to clinicians, clinical informaticists, scientists, data engineers, and business stakeholders.

Preferred Qualifications

Experience with transplant clinical data or research, including donor and recipient characteristics, immunosuppressive therapies, graft function, rejection, and longitudinal outcomes.
Experience with OHDSI tools such as Usagi, Achilles, or Data Quality Dashboard, and designing documented OMOP extensions when standard concepts or structures do not adequately represent domain requirements.
Experience adapting or fine-tuning biomedical or clinical language models, active learning, distributed processing, and optimizing inference for high-volume clinical data.
Experience with OCR and document layout processing for scanned clinical records, including assessment of how OCR errors affect extraction quality.

Additional Details:

Every individual at CareDx has a direct impact on our collective mission to improve the lives of organ transplant patients worldwide. We believe in taking great care of our people, so they take even greater care of our patients.

Our competitive Total Rewards package for US Employees includes:

Competitive base salary and incentive compensation
Health and welfare benefits, including a gym reimbursement program
401(k) savings plan match
Employee Stock Purchase Plan
Pre-tax commuter benefits
And more!
Please refer to our page to view detailed benefits at https://caredx.com/company/careers

In addition, we have a Living Donor Employee Recovery Policy that allows up to 30 days of paid leave annually to a full-time employee who makes the selfless act of donating an organ or bone marrow.

With products that are making a difference in the lives of transplant patients today and a promising pipeline for the future, it’s an exciting time to be part of the CareDx team. Join us in partnering with transplant patients to transform our future together.

CareDx, Inc. is an Equal Opportunity Employer-vets/disabled, and participates in the E-Verify program. By proceeding with our application and submitting your information, you acknowledge that you have read our U.S. Personnel Privacy Notice and consent to receive email communication from CareDx. Certain jurisdictions require notice of how we use and protect your personal information. For more information, please read our Privacy Policy

The U.S. EEO posters are available here.

Note: We do not accept resumes from headhunters, placement agencies, or other suppliers that have not signed a formal agreement with us.

#LI-Remote

This is the anticipated base salary range for candidates who will work in Brisbane, California. The final salary offered to a successful candidate will be dependent on several factors that may include, but are not limited to, the type and length of experience within the job, the type and length of experience within the industry, education, etc. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives and restricted stock units. CareDx is a multi-state employer, and this salary range may not reflect positions that work in other states.

San Francisco Bay Area Roles

$145,000—$187,000 USD

This is the anticipated base salary range in the United States. The final salary offered to a successful candidate will be dependent on several factors that may include, but are not limited to, the type and length of experience within the job, the type and length of experience within the industry, education, etc. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives and restricted stock units. CareDx is a multi-state employer, and this salary range may not reflect positions that work in other states.

Remote: US only roles

$126,000—$158,000 USD

Requirements

measure entity, relationship, assertion, and normalization performance; conduct clinical error analysis and validate generalization across hospitals, specialties, and note types using patient-level data separation and checks for data leakage.
preserve source text, note and encounter identifiers, extraction provenance, model and terminology versions, and review status. establish confidence thresholds and human review workflows for ambiguous or high-impact outputs.
build etl workflows, apis, and validation controls to harmonize structured emr fields and nlp outputs, including patient and encounter linkage, units, timestamps, and duplicate records; monitor data quality, throughput, reliability, and model performance, and resolve production issues.
document architecture and operational procedures, lead code and design reviews, mentor engineers, and communicate technical tradeoffs to clinical, scientific, product, and engineering stakeholders.
design and maintain mappings and transformation pipelines for a transplant-focused omop cdm, representing transplant procedures, donor and recipient information, immunosuppressive therapies, laboratory results, rejection episodes, and longitudinal outcomes using appropriate standard concepts and documented extensions where needed.
education: master’s or ph.d. degree in computer science, computational linguistics, biomedical informatics, data science, engineering, or a related field, or equivalent practical experience.
experience: 7+ years of relevant experience in nlp, machine learning, or applied ai engineering, including 3+ years developing clinical nlp solutions using real-world ehr or hospital notes, with demonstrated delivery of production solutions.
advanced python and sql skills, with experience using pandas or comparable data-processing tools, relational data modeling, etl orchestration, incremental processing, schema validation, and automated data-quality checks.

Benefits

Commuter Benefits

Skills

Python

SQL

Clinical NLP

OMOP Common Data Model

Machine Learning

Data engineering

HL7 FHIR

ETL

Ready to Apply?

Join CareDx, Inc. today

Salary Range

$126k - $187k

Posted 7 hours ago

More AI roles you might like

Discover similar opportunities from companies that are also hiring remotely.

Head of AI Strategy & Operations

Accela

Full Time

$240k - $280k

9 hours ago

ABOUT THE ROLE Accela is seeking a Head of AI Strategy & Operations to help teams across the company use AI effectively and responsibly. You will shape our enterprise AI strategy, set practical standards, and guide investments that improve how people work and deliver measurable results.

United States

Machine Learning

Senior

AI Strategy

AI Governance

Enterprise architecture

+5 more

Associate Distinguished Engineer (Solution Architect - GenAI + RAG + Agentic AI, Cloud, data architecture, Integration Architecture)

Nagarro

Full Time

17 hours ago

Company Description 👋🏼 We're Nagarro . We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight.

India

Machine Learning

Staff

Solution Architecture

Generative AI

RAG

+5 more

Associate Distinguished Engineer (Solution Architect - GenAI + RAG + Agentic AI, Cloud, data architecture, Integration Architecture)

Nagarro

Full Time

17 hours ago

Company Description 👋🏼 We're Nagarro . We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight.

India

Machine Learning

Staff

Solution Architecture

Generative AI

RAG

+5 more

Explore more remote openings

Browse fresh listings from our global community of remote-friendly teams.

Sr Specialist Analyst (Technology Research, Quantitative research)

Gartner

Full Time

3 hours ago

Senior Specialist Analyst — Forecast and Market Share (F&MS) What makes Gartner Business and Technology Insights a great fit for you? When you join Gartner Business and Technology Insights, you’ll be part of a leading-edge team that values expert insights, bold ideas, and intellectual courage.

India

Data

Data Science

Mid

Quantitative Research

Market Analysis

Data Modeling

+5 more

Senior DevOps Engineer (India)

Karat

Full Time

5 hours ago

We're Karat , the world's largest interviewing company. Karat is transforming organizations around the world. We provide a powerful system for technical leaders at companies like PayPal, Atlassian, and Citi who want to take control of how they hire top engineers, elevate their teams and…

India

Engineering

DevOps / SRE

Senior

DevOps

Site reliability engineering

AWS

+5 more

Senior Data Engineer (India)

Karat

Full Time

5 hours ago

India

Engineering

Backend Engineering

Senior

Data engineering

SQL

Python

+5 more

Career Framework Manager

Haag, a Salas O'Brien Company

Full Time

$95k - $120k

5 hours ago

Manager, Career Framework At Salas O’Brien we tell our clients that we’re engineered for impact. This passion for making a difference applies just as much to our team as it does to our projects.

United States

Engineering

Backend Engineering

Senior

Talent Management

Workforce Planning

Organizational Development

+5 more

Director of Software Engineering (India)

Karat

Full Time

5 hours ago

India

Engineering

Backend Engineering

Staff

Software Engineering

Engineering Management

SaaS

+5 more

Technical Account Manager

Samsara

Full Time

5 hours ago

Who we are Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations.

Mexico

Engineering

Backend Engineering

Senior

Technical Account Management

Customer Success

Consultative Problem Solving

+5 more

Team Leader, ERM Customer Success Americas

Check Point Software Technologies

Full Time

6 hours ago

Company Description Cyberint , a market leader in External Risk Management, helping organizations to accelerate the detection, response and remediation of their external threats, was recently acquired by Check Point and is looking for a  Customer Success Team Leader to bolster our Customer…

United States

Customer Success

Customer Success Management

Senior

Customer Success

Team Leadership

Cybersecurity

+5 more

Account Executive

MarketFully

Full Time

7 hours ago

🌎 Where: 100% Remote, United States 🤝 Type: Full-time, salaried Multilingual Content Marketing, Social & Technology Solutions MarketFully helps ambitious brands grow in every market they operate in.

United States

Sales

Account Executive

Senior

Sales

Account Management

Consultative Selling

+5 more

Salesforce Administrator

MarketFully

Full Time

7 hours ago

🌎 Where: Argentina or Colombia - 100% Remote 🤝 Type: Full-time, via our employer of record About MarketFully Group We've combined four established companies - MotionPoint, Key Content, GetGloby, and Social Element - into one company: MarketFully.

Worldwide

Sales

Account Executive

Senior

Salesforce Administration

Apex

Lightning Web Components

+5 more

Head of Product

Sharp Performance

Full Time

7 hours ago

The Opportunity Sharp Performance is hiring a Head of Product to own our product vision, strategy, and roadmap, and to build a product that first responders want to open every day.

United States

Engineering

Backend Engineering

Senior

Product Strategy

Product Roadmap

Technical Fluency

+5 more

Customer Success Manager

Pindrop

Full Time

$88k - $106k

8 hours ago

Who We Are Pindrop is a cybersecurity company delivering continuous identity verification across voice, video, and digital interactions. Powered by the Pindrop Intelligence Network, our unified trust platform helps enterprises answer three critical questions: Is this identity synthetic?

United States

Customer Success

Customer Success Management

Mid

Customer Success

Account Management

SaaS

+5 more

Senior Failure Analysis Engineer, Medium Voltage Transformers and Switchgear

SMA America

Full Time

$106k - $150k

8 hours ago

Why Work at SMA America Power the future. Build your career at SMA America. As the U.S. subsidiary of SMA Solar Technology AG, we have been at the forefront of solar inverter technology since 1981, developing solutions that make photovoltaic power plants simpler, more reliable, safer, and more cost…

United States

Engineering

Backend Engineering

Senior

Failure Analysis

Transformers

Switchgear

+5 more