Data Tech Lead/ Data Analytics | Business Intelligence with Pharma Domain

Must have : PubMed , Python , SQL • Oversee the completion of projects from internal kickoff, development, delivery, and continuing support

• Coordinating with other teams to ensure the scope of the project is correct/meeting client’s expectations.

Required Skills:

· Programming: Proficiency in Python, R, and SQL.

· Math and Stats: Strong background in statistics, probability, and algebra.

· Tools: Experience with data frameworks, big data tools, and visualization software like Tableau or Power BI.

· Education: Bachelor’s or master’s degree in computer science, Math, Statistics, Engineering, or a related quantitative field.

Looking for below Technical Domain Expertise under Health Care sector.

· Data Collection: Gather structured and unstructured data from internal and external sources.

· Data Cleaning: Process, verify, and clean data to ensure accuracy.

· Model Building: Design and train machine learning models and predictive algorithms.

· Analysis: Run exploratory data analysis to find hidden trends and patterns.

· Communication: Share findings with company leaders using clear reports and visual dashboards

Mandatory Skills

· Knowledge / Good understanding of PubMed Data

· Experience as Disease management SME

· Experience in Scrum

· Some Alteryx & Snowflake experience

Familiarity with:

· PubMed, its data, MeSH structure

· Clinical trials data, clinicaltrials.gov

· Claims: Mx and Rx data, ICD10 codes, taxonomies, CPT, NDC (less important than PubMed)

· JIRA/Confluence