Location: Pune

Report to: Team Lead/Manager

Purpose of Position: Subject matter expert in the healthcare domain. Perform clinical data mining from various health systems and transform it in the normalized form.

Key Responsibilities:

- Understand and perform data exploration and data mining of healthcare clinical and claims data

- Positive understanding of EHR database mapping, data structure, clinical documentation structure and HIPAA regulations

- Work closely with various internal teams/stakeholders and customer contacts to successfully implement an operations process for project delivery

- Understand large-scale hospital datasets/warehouses to organize, collect, and standardize data

- Study the current set of applications, and processes and build a sound knowledge repository; and contribute to process enhancement wherever needed

Experience:

Must have:

- Total 3-5 years experience in the US Healthcare domain in EHR data migration/implementation or healthcare application Iintegration





- Hands-on experience in SQL query development and the ability to develop queries to investigate and identify data points in the healthcare ecosystem

- Knowledge of Linux, Python and/or R, knowledge of cloud platforms

- Should possess good interpersonal and communication skills

Nice to have:

- Experience in hospital EHR implementation and migration and understanding of HIS & EHRs like Allscripts, Athena, eCW, etc.

- Understanding of various healthcare terminologies, standards, and applications like EMR/EHR, LIS, Code Systems like SNODMED, CPT & Diagnosis Code, NDC, LOINC

- Good to have kKnowledge of tools like JIRA, Confluence, Service Desk, etc. preferred

Qualification:

- Graduate or equivalent qualification with experience in recognized, global IT services / consulting companies in the healthcare domain

Note:

The Job Description is subject to change from time to time, as per the requirements of the Company and the competencies / qualifications you may acquire in future

📌 Data Analyst/ (India)
🏢 FIGmd
📍 India