Medical Data Analyst I at Cohere Health

Hyderabad, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

20 Jan, 26

Salary

0.0

Posted On

23 Oct, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Validation, Data Verification, Attention to Detail, Communication Skills, Analytical Skills, Critical Thinking, Medical Terminology, Human Anatomy, Physiology, Electronic Medical Records, Laboratory Reports, Vital Signs, Error Identification, Documentation, Quality Assurance, Collaboration

Industry

Software Development

Description

Opportunity Overview: Full-time position, in-office, Hyderabad. This position will require the candidate to engage in critical thinking skills, be intellectually curious, and demonstrate great attention to detail. Requires excellent communications skills both written and oral. Must possess the ability to work with a diverse group of talent both in-person and globally. What you’ll do: Data Validation and Verification: Perform meticulous, line-by-line comparisons of algorithm-generated output sheets (in CSV format) against the original patient Accuracy Assessment: Verify the accurate extraction of key medical data, including Vital Signs and Laboratory Tests. This includes checking the accuracy of Test Names, Test Results/Values, Units of Measurement, and associated Date/Time stamps. Error Identification and Documentation: Identify and meticulously document any discrepancies, errors, or failures in data extraction where the algorithm has incorrectly or incompletely captured data from the EMR. Systematically document findings in the Algorithm Output Sheet using specific columns. Set the Status (Correct/Incorrect) based on the comparison. Provide detailed error categorization in the Sub Status column Specify the correct data in the Expected Test Name, Expected Test Value, Expected Unit of Measurement, and Expected Date Timestamp columns for any identified error. Completeness Reporting: Report any missing medical data that was present in the EMR but was not extracted by the algorithm into the output sheet. Quality Assurance Contribution: Collaborate closely with the Data Science Team by providing high-quality, actionable feedback to drive continuous improvement in algorithm performance and data extraction logic. Required Qualifications Proven background or strong familiarity with Electronic Medical Records (EMRs) and clinical data, such as laboratory reports, vital signs, procedures, and treatments. Demonstrate commitment to accuracy and exceptional attention to detail. Excellent analytical and critical thinking skills to compare complex clinical documentation against structured data formats. Education Qualifications: BSC Nursing, B.Pharm, Food and Nutrition, Graduation- BSC, MSC (Life sciences), MLT. Knowledge of Medical Terminology, Human Anatomy and Physiology. Ability to commute/relocate: Nacharam, Hyderabad, Telangana: Reliably commute or planning to relocate before starting work (Preferred) Interview Process*: Connect with the Talent Acquisition Team for a Preliminary Phone Screening Hiring Manager Interview Take-home assessment Peer and/or cross-functional interview(s) *Subject to change About ZignaAI, a Cohere Health Company: Cohere Health’s clinical intelligence platform delivers AI-powered solutions that streamline access to quality care by improving payer-provider collaboration, cost containment, and healthcare economics. Cohere Health works with over 660,000 providers and handles over 12 million prior authorization requests annually. Its responsible AI auto-approves up to 90% of requests for millions of health plan members. With the acquisition of ZignaAI, we’ve further enhanced our platform by launching our Payment Integrity Suite, anchored by Cohere Validate™, an AI-driven clinical and coding validation solution that operates in near real-time. By unifying pre-service authorization data with post-service claims validation, we’re creating a transparent healthcare ecosystem that reduces waste, improves payer-provider collaboration and patient outcomes, and ensures providers are paid promptly and accurately. Cohere Health’s innovations continue to receive industry wide recognition. We’ve been named to the 2025 Inc. 5000 list and in the Gartner® Hype Cycle™ for U.S. Healthcare Payers (2022-2025), and ranked as a Top 5 LinkedIn™ Startup for 2023 & 2024. Backed by leading investors such as Deerfield Management, Define Ventures, Flare Capital Partners, Longitude Capital, and Polaris Partners, Cohere Health drives more transparent, streamlined healthcare processes, helping patients receive faster, more appropriate care and higher-quality outcomes. The Coherenauts, as we call ourselves, who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone. We can’t wait to learn more about you and meet you at ZignaAI, a Cohere Health company! Equal Opportunity Statement: Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all. To us, it’s personal.

Responsibilities

The Medical Data Analyst I will perform meticulous comparisons of algorithm-generated output sheets against original patient data, ensuring accuracy in medical data extraction. The role involves identifying discrepancies and collaborating with the Data Science Team to improve algorithm performance.