Manager - Real World Data Engineering

GSK India

13 - 16 years

32 - 40 Lacs

Bengaluru

Posted:2 weeks ago| Platform:

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Skills Required

Procurement data governance Healthcare Oncology Life sciences Data quality Operations Epidemiology Public health Python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Key Responsibilities

Facilitating the integration of diverse data types and sources to provide a comprehensive view of patient health and treatment outcomes.
Provide coaching and peer review to ensure that the team s work reflects the industry s best practices for data curation activities, including data privacy and anonymization standards.
Ensure all datasets meet analysis-ready and privacy requirements by performing necessary data curation activities (e.g. pre-process, contextualize and/or anonymize).
Ensure that datasets are processed to meet conditions mentioned in the approved data re-use request (e.g., remove subjects from countries that do not allow re-use). Write clean, readable code.
Ensure that deliverables are appropriately quality controlled, documented, and when required, can be handed over to R&D Tech team for production pipeline implementation.
Transforming raw healthcare data into products that can be used to catalyze the work of the wider RWDMA and Biostatistics teams and be leveraged by our diverse group of stakeholders to generate insights.
Ensuring data quality, integrity, and security across various data sources.
Supporting data-driven decision-making processes that enhance patient outcomes and operational efficiencies.

Education Requirements

Advanced degree (Masters or Ph.D.) in Life Sciences, Epidemiology, Biostatistics, Public Health, Computer Sciences, Mathematics, Statistics or a related field with applicable experience .

Job Related Experience

Experience in data engineering and curation, with majority of experience on real-world data in the healthcare or pharmaceutical industry.
Proven ability to handle and process large datasets efficiently, ensuring data privacy.
Proficiency in handling structured, semi-structured, and unstructured data while ensuring data privacy.
Understanding of data governance principles and practices with a focus on data privacy.
Innovative mindset and willingness to challenge status quo, solution-oriented mindset
Fluent in written and spoken English to effectively communicate and able to articulate complex concepts to diverse audiences
Experience of working in global matrix environment and managing stakeholders effectively
Experience in complex batch processing, Azure Data Factory, Databricks, Airflow, Delta Lake, PySpark, Pandas and other python dataframe libraries including how to apply them to achieve industry standards and data privacy.
Proven ability to collaborate with cross-functional teams.
Strong communication skills to present curated data.

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