Work Experience: 4 to 5 years

Work Location: Bengaluru

Skill Set: Data Science / Machine Learning, Python, Digital Signal Processing, Digital Biomarker (Medical sensor analysis), and Version control QC, Statistics (Good to have)

Education: Master's in Statistics, Engineering, Data Science, Applied Mathematics, Computer Science, or a related discipline / Ph.D. (Ph.D. is good to have) with specialised knowledge in data science applied to digital biomarker data

GSK’s Digital Biomarkers team partners closely with the RW Data Management & Programming team to support drug development and patient access. The team leverages remote technologies such as wearable devices or mobile phones to collect data from patients away from our clinical sites, with the aim to generate objective data that describes the impact of our medicines in patient’s everyday lives.

We are an in-house team sitting at the interface of digital technology and data science; our main focus is to support our drug development programmes to ensure our medicines help patients do more, feel better and live longer. A core team activity consists of applying sophisticated algorithms and techniques to tackle complex problems in the analysis of dense timeseries data, and in turn generating value for the development of new medicines.

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 signal processing techniques for feature engineering to extract clinically relevant information from digital 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

• Apply statistical modelling techniques and machine learning models to identify actionable insights from complex sensor data

• 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.

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 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 digital signal processing and programming abilities.

• Strong written and verbal communications

• Experience with Deep Learning and/or knowledge in statistics would be advantageous

• Prior experience with digital sensor data and experience in healthcare domain are also welcomed.

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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