Head, Real World Data Engineering

GSK India

7 - 13 years

25 - 30 Lacs

Bengaluru

Posted:2 weeks ago| Platform:

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Skills Required

Procurement Usage Analytical Healthcare Oncology Life sciences Data quality Operations Epidemiology Public health

Work Mode

Work from Office

Job Type

Full Time

Job Description

Key Responsibilities

Leads the development of business requirements for data curation through collaboration with relevant stakeholders within and outside RWDMA.
Maintain strong connections with analytical groups and R&D Data Platform teams to ensure seamless data integration and usage.
Develop and implement the vision and strategy for the design of the framework to consistently curate (e.g. pre-process, harmonize, wrangle, contextualize and/or anonymize) data in the right manner to the right people to drive value in alignment with Disease Area Strategies and other key R&D priority areas.
Partner strongly with the Disease Area Heads in R&D and their teams to ensure the provisioning of required and high-quality curated datasets to deliver their disease and/or asset-level data strategy and modelling plans.
Enable bi-directional transparency between Business and R&D Tech to ensure alignment of strategies, achieve business objectives/outcomes, and maintain service levels in line with business needs, while prioritizing data privacy and security.
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

Expertise to translate business needs into technical data requirements and processes.
Proven track record of leading and managing high-performing data engineering teams
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

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