Hematologist

micro1 Inc.; United States; Remote; USD 220,000 - 248,000; Part time

Job summary

micro1 is seeking experienced Hematologists to support a client project focused on improving AI-generated clinical documentation.

You will review transcripts and notes from outpatient hematology encounters to assess accuracy, relevance, and clinical completeness, helping to refine AI-assisted documentation.

Qualifications

• MD/DO with board certification in Hematology.
• At least 2 years of outpatient hematology experience after fellowship.
• Strong clinical experience in diagnosing and managing hematologic disorders and treatment planning.
• Proven ability to independently document HPIs, interval histories, and A&P.

Responsibilities

• Review AI-generated transcripts of outpatient hematology visits for clinical accuracy and clarity.
• Evaluate HPI, interval histories, and A&P documentation.
• Identify inaccuracies or missing details related to hematologic diagnoses and treatment plans.
• Assess documentation of blood disorders, including anemia, bleeding/clotting disorders, and hematologic malignancies.
• Review documentation of treatment responses, adverse effects, transfusion needs, and follow-up care.
• Provide actionable feedback to improve AI-generated notes and EHR documentation.

Skills

Hematology expertise

Clinical documentation

Written communication

EHR documentation

Education

MD/DO or equivalent

Board certification in Hematology

Tools

EHR systems

AI scribe familiarity

Job description

Hematologist

Role type: Contractor

Location: Remote, United States only

Commitment: Part-time, project-based

Compensation: $160–$180 USD per hour

About the role

micro1 is looking for experienced Hematologists to support a customer project focused on improving AI-generated clinical documentation.

In this role, you'll use your clinical expertise to evaluate AI-generated transcripts and medical notes from outpatient hematology encounters. Your feedback will help improve the accuracy, completeness, and clinical relevance of AI-assisted documentation.

What you'll do

1. Review AI-generated transcripts of outpatient hematology visits for clinical accuracy, completeness, and clarity.
2. Evaluate clinical documentation, including History of Present Illness (HPI), interval histories, and Assessment and Plans (A&Ps).
3. Identify inaccuracies or missing details related to hematologic diagnoses, treatment plans, medication management, and laboratory findings.
4. Assess documentation of blood disorders, including anemia, bleeding and clotting disorders, and hematologic malignancies.
5. Review how clinical notes capture treatment responses, adverse effects, transfusion requirements, and follow-up care.
6. Provide clear, actionable feedback to improve AI-generated clinical notes and EHR documentation.

Required qualifications

1. MD, DO, or equivalent medical degree, with board certification or eligibility in Hematology.
2. At least 2 years of recent outpatient hematology experience following fellowship.
3. Strong clinical experience diagnosing and managing hematologic disorders, including treatment planning and longitudinal patient care.
4. Proven ability to independently document HPIs, interval histories, and Assessment and Plans.
5. Solid understanding of hematologic treatments, transfusion practices, anticoagulation management, and laboratory interpretation.
6. Strong written communication skills and attention to clinical detail.
7. Based in the United States.

Preferred qualifications

1. Experience treating both malignant and non-malignant hematologic conditions, such as leukemia, lymphoma, anemia, sickle cell disease, and coagulation disorders.
2. Familiarity with AI scribe technology, EHR documentation templates, medical chart review, or clinical annotation projects.

Application process

Candidates will complete an AI interview to assess their relevant clinical expertise and experience.

About micro1

micro1 is a data lab that connects professionals with opportunities to apply their expertise to customer projects. We work with specialists across fields such as engineering, finance, healthcare, and law to support AI labs and enterprises. Through our extended network, contributors bring their knowledge and judgment to projects with their own scope, requirements, and engagement terms.