Job Purpose:

As a Digital Data Scientist, you will be accountable for the delivery of a portfolio of digital biomarker data science projects across several therapeutic areas. In this role, you will apply your expertise in data processing, analytics, statistics and modelling to derive solutions to a range of problems in digital biomarker data. Specifically, your responsibilities will include: 

• Apply statistical modelling techniques and machine learning models to identify actionable insights from complex sensor data
• Process, analysis and interpretation of digital biomarker data using common programming languages such as Python
• Create novel algorithms to extract information from unstructured raw sensor data and other multiparametric data sets captured in Phase I-IV clinical trials
• Connect and collaborate with subject-matter experts in biostatistics, clinical development and other disciplines.
• Make impactful contributions to internal discussions on innovative methodologies to analyse digital data
• Maintain up to date knowledge on recent advances in data science applicable to digital data (through robust review of scientific literature)
• Adopt good scientific practices in all phases of the research and development process in alignment with the ICH-GCP. This includes the use of collaborative code development tools (i.e., Git), version control detailed code documentation and quality checking.
• Apply signal processing techniques for feature engineering to extract clinically relevant information from digital data.

Basic qualifications and skills: 

• A higher degree in Statistics, Engineering, Data Science, Applied Mathematics, Computer Science, or related discipline
• Preferably Masters (Ph.D. is good to have) with specialised knowledge in statistics data science applied to digital biomarker data.
• Ability to work autonomously and collaboratively as part of a team to both teach and learn every day.
• Extensive hands-on experience in scientific computing using common data science packages for Python. Excellent all-round statistical analysis and programming abilities
• Strong written and verbal communications
• Experience with Deep Learning and/or basic knowledge in digital signal processing
•  would be advantageous
• Prior experience with digital sensor data and experience in healthcare domain are also welcomed.

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. Getting ahead means preventing disease as well as treating it, and we aim to positively impact the health of 2.5 billion people by the end of 2030.

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 workplace where everyone can feel a sense of belonging and thrive as set out in our Equal and Inclusive Treatment of Employees policy. We’re committed to being more proactive at all levels so that our workforce reflects the communities we work and hire in, and our GSK leadership reflects our GSK workforce.

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