Manager, Evidence Generation RWD Lead

Takeda · Bengaluru

  • Experience2–3 yrs
  • SalaryNot disclosed
  • RoleData Analyst
  • Work modeonsite
  • Posted14 Oct 2026

About Takeda

Takeda is hiring in Bengaluru in pharma biotech. This role looks for around 2+ years of experience.

Skills

  • Real-world data (RWD)
  • Data ingestion workflows
  • Data quality checks
  • Conformance checks
  • English
  • Life sciences
  • Public health
  • Epidemiology
  • Data science
  • Biostatistics
  • Pharmacy
  • Medicine
  • Health economics

The role

Manages evidence-generation data operations for a biopharmaceutical company. Coordinates real-world data ingestion and applies data quality checks, conformance checks, and trend checks across claims, EHR, registry, trial, and observational datasets. Uses SQL and OMOP to document issues and support data-readiness decisions.

Full job description

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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