Detailed JD: Data Architect Role with Pharma Domain (Data Scientist):
Role & Responsibilities:
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
Manage development and other teams
Set up and run internal workflows and manage data as it is modified per project.
Ensure project data is prepared and uploaded to client inface in a timely manner
Maintain project refresh schedule
Interface with vendors: order profile information, conference abstracts
Troubleshoot data issues on a project-by-project basis
Collaborate with Product department on potential updates to the deliverable
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
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.
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
Alteryx Gallery and Designer
Tableau desktop, Curator