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Senior Medical Annotation Jobs (NOW HIRING)

Honeycomb Insurance

Senior AI Underwriter

Austin, TX · On-site +1

$100K - $120K/yr

Provide training and ongoing guidance to annotation teams; perform continuous quality assurance on ... Medical, dental, and vision coverage for you and your dependents * HSA with company contributions ...

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Senior Medical Annotation information

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$25K

$80.3K

$163.5K

How much do senior medical annotation jobs pay per year?

As of Jun 29, 2026, the average yearly pay for senior medical annotation in the United States is $80,287.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,500.00 and $103,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Senior Medical Annotation professionals, and how can they be managed?

Senior Medical Annotation professionals often encounter challenges such as handling large volumes of complex medical data, maintaining accuracy under tight deadlines, and keeping up with evolving medical terminologies. Managing these challenges requires strong attention to detail, effective use of annotation tools, and ongoing communication with clinical experts and data scientists. Continuous learning and collaboration within multidisciplinary teams help ensure high-quality outputs and foster professional growth within the field.

What is the difference between Senior Medical Annotation vs Medical Data Labeler?

AspectSenior Medical AnnotationMedical Data Labeler
CredentialsTypically requires healthcare background, medical terminology knowledge, and experience with annotation toolsOften requires basic computer skills, training in data labeling, but less healthcare-specific knowledge
Work EnvironmentRemote or on-site, working with complex medical datasets and annotation softwarePrimarily remote, focusing on labeling large volumes of medical images or text
Industry UsageUsed in AI development for healthcare, medical research, and clinical data projectsUsed in machine learning datasets creation, quality control, and data preparation

Senior Medical Annotation professionals typically have healthcare experience and handle complex annotations, while Medical Data Labelers focus on large-scale data labeling tasks with less healthcare-specific expertise. Both roles are essential in AI healthcare projects but differ in complexity and required background.

What are the key skills and qualifications needed to thrive as a Senior Medical Annotation Specialist, and why are they important?

To thrive as a Senior Medical Annotation Specialist, you need in-depth knowledge of medical terminology, clinical guidelines, and experience with healthcare data, usually supported by a degree in a life science or healthcare field. Familiarity with annotation tools, electronic health records (EHR) systems, and data labeling platforms is typically required, along with certifications in medical coding or informatics. Strong attention to detail, analytical thinking, and effective communication are crucial soft skills for quality assurance and teamwork. These skills ensure the accuracy and reliability of annotated medical data, which is essential for healthcare research, AI development, and clinical decision-making.

What are Senior Medical Annotation specialists?

Senior Medical Annotation specialists are experienced professionals who review and label medical data, such as clinical notes, images, or audio, to ensure it is accurately structured for use in research, artificial intelligence, or healthcare analytics. They have in-depth knowledge of medical terminology and guidelines, allowing them to provide high-quality, consistent annotations. Their work is critical in training and validating AI models for tasks like disease detection or medical record organization. Senior specialists often lead annotation teams, provide quality control, and help develop annotation protocols.
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Senior Medical Annotation jobs near you

Senior Faculty Lead, Digital Pathology Infrastructure and AI Enablement

Harvard Medical Faculty Physicians

Campus, IL

Part-time

Medical, Dental, Vision, Life, Retirement

Posted 12 days ago

Key responsibilities

  • Lead and operationalize the digital pathology infrastructure and enterprise digital pathology ecosystem, including strategy, architecture, and workflow integration.

  • Establish and oversee validation protocols, quality assurance programs, and compliance processes for digital pathology and AI tools, ensuring regulatory readiness.

  • Develop and lead education programs and mentorship for faculty, trainees, and staff in digital pathology and AI practices.

Job description

Job Description:

Senior Faculty Lead, Digital Pathology Infrastructure and AI Enablement, Part Time

Department of Pathology

Beth Israel Deaconess Medical Center

Harvard Medical School, Boston

TheDepartment ofPathologyatBeth Israel Deaconess Medical Centeris seekingaSenior Faculty Lead, Digital Pathology Infrastructure and AI Enablement (Part-Time) faculty position(Boston).

As a teaching hospitalofHarvard Medical School, BIDMC and the Department of Pathology, provide a clinically advanced and supportive academic environment for residents, fellows, and faculty.We'realso proud and excited to be an integral part of the landmark collaboration among Dana-Farber Cancer Institute (DFCI), Beth Israel Deaconess Medical Center (BIDMC), and Harvard Medical Faculty Physicians (HMFP) toestablishNew England's only freestanding adult inpatient cancer hospital. The collaboration willprovideunparalleled opportunities for pathologists and other physician specialties to be part of DFCI's internationally recognized cancer team.

The candidate will be appointed to the faculty of Harvard Medical School at a part-time academic rank (Lecturer, Instructor, Assistant Professor, Associate Professor)commensuratewith experience.

Position Summary

Reporting to the Director of Digital Pathology (Primary), Department Chair orVice Chair for Pathology Informatics, this faculty leadership role builds, scales, andoperationalizesBIDMC Pathology's enterprise digital pathology ecosystem and serves as a department-wide expert for AI readiness, evaluation, and clinical deployment in anatomic pathology. The role partners closely with the Director of Digital Pathology key stakeholders (AP leadership, laboratory operations, IT and security, compliance, and research) to ensure safe,validated, high-quality digital workflows and an enduring education and mentorshipprogram.

KeyResponsibilities

Digital Pathology Infrastructure and Operations

Strategy and Roadmap

  • Lead a multi-year roadmap for whole slide imaging (WSI) and digital sign-out capabilities across BIDMC Pathology (clinical, educational, and research use cases). Define target-state architecture, phased milestones, resourcing, and success metrics.

PlatformBuild andIntegration

  • Lead (or co-lead) selection, implementation, and lifecycle management for WSI scanners and a scanning operations model; the image management system and enterprise viewer; storage and archiving (on-premiseand or cloud), networking,identityand access controls; and integration with LIS and EMR worklists and specimen tracking and barcoding workflows.StandardizeSOPs across scanning, image QC, downtime procedures, and incident management.

Validation,Quality, andCompliance

  • Design and oversee validation protocols for primary diagnosis on digital slides (pathologist validation, case set design, discrepancy tracking,competencyand re-validation cadence). Build a measurable QA and QCprogramfor tissue-to-image fidelity (staining variability, scanner performance, display calibration, artefact classification, and remediation workflows). Ensure readiness for applicable regulatory and accreditation requirements (for example, CAP, CLIA, HIPAA, and institutional governance).

AIEnablement,Evaluation, andClinicalDeployment

AIGovernance andSafetyFramework

  • Establish an end-to-end governance model for AI tools used in pathology (selection, risk stratification, validation, monitoring, drift detection, versioning, change control, and retirement). Develop documentation standards and oversight pathways aligned with clinical risk, ethics, and equity principles.

AI readiness foundations

  • Build practical infrastructure to support AI translation, including dataset curation pipelines (de-identification, annotation frameworks, ground truth practices); a secure compute environment for evaluation and, whereappropriate, model development; and performance benchmarking across representative case mixes and operational conditions.

Clinical implementation

  • Partner with clinical subspecialty leads todeployAI tools into workflow (triage, screening support, quantification, QC augmentation), including user training, acceptance criteria, andpost go-live monitoring.

Educationprogramdevelopment and mentorship

Educationprogram

  • Create and lead an ongoing "Digital Pathology and AI in Practice" educationprogramfor faculty pathologists and trainees; laboratory staff (histology, accessioning, scanning, and QC); and informatics and IT partners supporting pathology. Curriculum to include validation, workflow redesign, QC, human factors, AI evaluation literacy, and practical guidance on safe and responsible use of AI outputs.

Mentorship

  • Mentor trainees and faculty in digital pathology, computational pathology collaboration, andresponsibleAI adoption. Support scholarly output and career development for learners and junior faculty engaged in digital and AI initiatives.

Research, innovation, and external collaboration

  • Enable clinical-translational research through high-quality digital slide repositories andstandardizeddata capture. Support grants, publications, and multi-institution collaborations related to digital pathology, AI evaluation, andimplementationscience. Develop and manage academicallyappropriate industrycollaborations (evaluations, pilots, interoperability work), aligned with BIDMC policies.

Qualifications

  • MD or DO with board certification inAnatomic Pathology (or AP/CP).

  • Eligibility for medical licensure inMassachusetts.

  • Demonstratedexpertiseincomputational pathology, pathology informatics, image analysis, artificial intelligence, or related domains.

  • Experience leadingmultidisciplinary programs or initiativesinvolving clinical, computational, and informatics teams.

  • Knowledge ofregulatory and quality frameworks for digital and computational pathology systems.

  • Track recordofscholarly activity, innovation, or program developmentin computational pathology or informatics.

  • Strong communicationandchangemanagement skills.

Preferred Attributes

  • Visionary leader capable of advancingdata-driven transformation in pathologyat institutional and national levels.

  • Dual fluency in medicine and computing or informatics, with a portfolio spanning clinical pathology practice plus technical infrastructure development.

  • Strong ability to collaborate acrossclinical, research, engineering, and informatics domains.

  • Commitment toclinical excellence, innovation, and academic scholarship.

  • Interest in contributing tonational and international initiatives shaping the future of computational pathology.

Beth Israel Deaconess Medical Center, a 743-bed hospital and Level 1 Trauma Center, is a founding member of Beth Israel Lahey Health(BILH).BILH,ahealth care systemwith 14 hospitals,brings together academic medical centers and teaching hospitals,communityand specialty hospitals,andmore than 4,000 physicians and39,000 employeesin a shared mission to expand access and advance the science and practice of medicine through groundbreaking research and education.

Harvard Medical Faculty Physiciansat Beth Israel Deaconess Medical Center (HMFP) is one of the largest physician organizations in New England, dedicated to excellence and innovation in patient care, education, and research. As a physician-led organization, HMFP partners with more than 2,400 providersto support the delivery of exceptional care, promote professional development,and foster balance at work and home. HMFP physicians have faculty affiliations with Harvard Medical School (HMS) and provide care throughouttheBILH system andadditionalhospitals across Massachusetts.

Research

Beth Israel Deaconess Medical Center consistently ranks as a national leader among independent hospitals in National Institutes of Health funding. Research funding totals over $229.8 million annually. BIDMC researchers run more than 850 active sponsored projects and 500 funded and non-funded clinical trials.

The Harvard-Thorndike Laboratory, the nation's oldest clinical research laboratory, has been located on this site since 1973. BIDMC also shares important clinical and research programs with institutions such as the Dana-Farber/Harvard Cancer Center, Joslin Diabetes Center and Children's Hospital.

Forinformationabout the position, please contactDr.Monika Vyas(mvyas1@bidmc.harvard.edu). Candidates should apply directly online at www.hmfphysicians.org/careers. Requisition Number: R1619

Pay Range:

$269,000 - $321,000

The base pay range reflects what Harvard Medical Faculty Physicians at Beth Israel Deaconess Medical Center (HMFP) reasonably and in good faith expects to pay for this role at the time of posting and may be modified from time to time. Actual compensation within this range may be determined based on several factors, including academic appointment, work experience, specialty training, geography of work location, anticipated productivity, FTE basis, and role expectations. In addition to base compensation, this role may be eligible for performance-based incentives, which may include bonuses for productivity and quality HMFP also offers a comprehensive and generous employee benefits program to eligible employees, including health, dental, vision, life, and disability insurance, as well as retirement plan(s) with employer contributions.

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