Associate Consultant- Data Aggregation (Life Sciences)

TL;DR

Associate Consultant- Data Aggregation (Life Sciences): Securely collecting, standardizing, and aggregating sensitive patient data for clinical, operational, and research needs with an accent on data privacy protocols and de-identification methodologies. Focus on designing and implementing end-to-end data aggregation solutions using Python and Pyspark within a HISEC-compliant environment.

Location: Hybrid role based in Pune, Maharashtra, India. Candidates must be willing to support US clients during US working hours with 3-4 hours of overlap.

Company

hirify.global is an established firm with over three decades of experience helping life sciences companies optimize commercialization through strategic insight, advanced analytics, and technology.

What you will do

• Collect, clean, and aggregate patient-level data from Electronic Health Records (EHRs), lab systems, and external databases.
• Apply tokenization techniques and support expert determination for de-identification processes.
• Ensure all activities comply with HIPAA and institutional privacy policies within HISEC environments.
• Manage and maintain secure data pipelines and repositories for sensitive patient information.
• Design and implement end-to-end Data aggregation solutions tailored to business requirements using Python and Pyspark.
• Synthesize findings, develop recommendations, and communicate results to clients and internal teams.

Requirements

• Engineering/Master’s Degree from a Tier-I/Tier-II institution/university in Computer Science or relevant concentration.
• 5+ years of relevant consulting-industry experience.
• Deep understanding of data management best practices, data modeling, and data analytics.
• Strong understanding of U.S. pharmaceutical datasets and their applications.
• Experience with tokenization tools/methods and expert determination for de-identification.
• Strong programming skills in Python and working knowledge of PySpark.
• Proficiency in Microsoft Office products, data analysis tools (e.g., Snowflake, Redshift), and job orchestration (Airflow, Databricks workflows).
• Strong understanding of HIPAA, GDPR, and related data privacy regulations.
• Excellent verbal and written communication skills.
• Willingness to support US clients during US working hours with 3-4 hours of overlap.

Culture & Benefits

• Join a highly collaborative, values-driven team focused on technical excellence, analytical rigor, and personal growth.
• Opportunity to make an impact in AI innovation, commercialization strategies, or shaping data-first solutions in life sciences.

Hiring process

• The hiring process may include the use of AI tools to support application review and resume analysis.
• Final hiring decisions are ultimately made by humans.