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Data Tech Lead

Rivago infotech incLakewood, OH🇺🇸United StatesPosted Oct 6, 2026

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Lakewood, OH, United States
Posted
22 hours ago
SQLMachine LearningScrumSnowflakeTableauClinical TrialsConfluenceJiraLESSPower BIPython

Job Description

Role : Data Tech Lead  with Pharma Domain

Client Full Address: LAKEWOOD 44107, OH

 

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.

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,

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

·         JIRA/Confluence

·         Alteryx Gallery and Designer

·         Tableau desktop, Curator

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

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