Manager, Evidence Generation RWD Lead

Takeda Pharmaceutical Co.; Bengaluru; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

Takeda Pharmaceutical Co. is seeking an experienced Data Ingestion Coordinator in Bengaluru to act as the operational bridge between Global Evidence Generation / RWD CoE and DD&T ingestion teams.

You will coordinate ingestion requests, perform data quality and conformance checks, document issues, and ensure traceability to enable data-readiness decisions across global data sources. Fluent English is required; further languages are aPlus. The role is full-time in Bengaluru, India.

Qualifications

• Bachelor level degree in life sciences, public health, epidemiology, data science, biostatistics, pharmacy, medicine or health economics is required.
• Fluent English; additional languages advantageous.
• >2 years of biopharmaceutical industry experience with RWD operations, data quality or data management preferred.

Responsibilities

• Coordinate data ingestion requests and confirm business use case, source details and access needs.
• Apply data quality, conformance and trend checks using templates and thresholds.
• Document findings, gaps and issues; escalate blockers to DD&T and US owners.

Skills

SQL

Data profiling tools

Dashboards

Data catalogs

Quality trackers

Education

Life sciences / public health / epidemiology degree

Tools

OMOP/CDISC data standards

Job description

Job Description

Role Objectives:

Coordinate RWD data ingestion and quality support, acting as the operational bridge between Global Evidence Generation / RWD CoE business users and DD&T technical ingestion teams. Ensure ingestion requests, data quality checks, conformance checks, trend checks, issue logs, and archival records are complete and traceable to enable DD&T and Global Evidence Generation / RWD owners with fit-for-purpose interpretation and data-readiness decisions.

Key Responsibilities:

Data Ingestion Coordination

• Receive requests to ingest new data sources or refresh existing datasets and confirm business use case, source details, required timing, access needs, and intended analytics use
• Route ingestion requests to DD&T with required intake information, mapping specifications, pipeline requirements, governance constraints, and privacy considerations
• Track DD&T ingestion progress, dependencies, open questions, clarifications, issue status, and readiness milestones
• Update data ingestion trackers and store request records, source details, business context, and completion status

Data Quality, Conformance & Trend Checks

• Receive datasets or refreshed extracts for quality review with expected use case, quality-check scope, and known data concerns
• Apply defined data quality, conformance, and trend-check procedures using approved templates and thresholds
• Run routine checks for completeness, consistency, outliers, expected trends, conformance to standards, and recurring anomalies
• Document findings, gaps, anomalies, recurring issues, and potential downstream impact

Issue Management & Escalation

• Flag unclear gaps, quality concerns, access constraints, or fit-for-purpose questions to US data / evidence owners
• Coordinate with DD&T and US owners to resolve ingestion blockers, missing inputs, mapping questions, and data quality issues
• Store check results, issue history, data quality logs, and decision outcomes
• Support improvements to data quality templates, ingestion trackers, conformance checks, and escalation rules

Qualifications:

Experience:

• >2 years of related work experience; >2 years of experience in the biopharmaceutical industry; experience in RWD operations, data quality, data management, clinical data operations, HEOR / RWE analytics, or evidence generation operations preferred

Technical skills:

• Working knowledge of RWD sources, data ingestion workflows, data quality checks, conformance checks, and data issue documentation
• Familiarity with claims, EHR, registry, trial, or observational datasets
• Understanding of data standards such as OMOP, CDISC, or equivalent conformance frameworks preferred
• Ability to coordinate effectively with DD&T, Global Evidence Generation, RWD CoE, data owners, and analytics users
• Experience with SQL, data profiling tools, dashboards, data catalogs, or quality trackers preferred

Education:

• A degree in life sciences, public health, epidemiology, data science, biostatistics, pharmacy, medicine, or health economics is required

Languages:

• Fluent English required; additional languages advantageous

Locations

IND - Bengaluru

Worker Type

Employee

Worker Sub-Type

Regular

Time Type

Full time