Data Analytics Manager
Bengaluru Luxor North Tower
GSK
At GSK, we unite science, technology and talent to get ahead of disease together1 HC: 10-15 years of experience, clinical data knowledge, SAS programming background, RBQM analytics background, excellent communication, capable to drive projects with minimal hand-holding. Sound project management skills are desired.
A typical work day may include but not limited to:
The individual will lead and develop visualizations and dashboards (analytics umbrella) using SAS + front-end (choice of tools). In depth knowledge of analytics life cycle associated processes (somewhat similar to SAS listings development) which includes requirement gathering, dev, QC, Val/UAT and push to prod etc. Extensive communication skills - to understand the needs of end-users and translate them into analytics specs, escalation management, negation, expectation management, etc. with senior stakeholders/ end-users (both tech/ non tech). Domain is RBQM. Hence, knowledge of RBQM analytics is desired. It is expected that the individual is open to work hands-on into studies and able to develop dashboards and able to guide less experience staff. Project management abilities (agile/waterfall), sound knowledge of day to day operations is a must have. Please note that SDTM data knowledge is an added advantage while raw data (edc – e.g. Veeva, ext. data) literacy is a must have.
Points from JD perspective:
- Partner with study teams to define, document, and configure/develop data analytics aids required to execute clinical trial as per protocol and regulatory requirements.
- Acts as a subject matter expert and lead within own discipline to investigate new technology as directed.
- Provides required contribution to complex technical tasks, including programming of data visualizations tools.
- Contributes to, the planning, coordination and execution of multiple programming activities to deliver all required outputs.
- Ensures the collection of programs/outputs and issues are adequately managed for programming activities to achieve business outcomes.
- Shares learnings with peers and contributes to internal technical discussions/forums.
- Anticipates problems within discipline, proactively uses own expertise and/or seeks input from others, to recommend solutions and influence appropriate change.
- In matrix discussions uses technical expertise to provide innovative solutions to project related problems of colleagues and of other projects.
- Makes decisions on the implementation of programming possible solutions for low risk pieces of work and proactively proposes options for higher risk activities. Later contributes to the maintenance, bug fixing, and enhancements to implemented solutions.
- Contributes to the development or improvement of processes and working practices. Develops responses to audit/inspection questions and complete CAPAs within agreed timelines
Why GSK?
Uniting science, technology and talent to get ahead of disease together.
GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology).
Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Data Analytics SAS
Perks/benefits: Equity
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