Manager - Digital Biomarkers Analytics

Site Name: Bengaluru Luxor North Tower Posted Date: Jul 20 2022 Is there any greater challenge than getting ahead of disease? At GSK, we have already delivered unprecedented change over the past four years, improving R&D, becoming a leader in Consumer Healthcare, strengthening our leadership, and transforming our commercial execution. Now, we’re making the most significant changes we’ve made to our business in over 20 years. We’re on track to separate and create two new companies in 2022: New GSK with a leading portfolio of vaccines and specialty medicines as well as R&D based on immune system and genetics science; and a new world-leading consumer healthcare company of loved and trusted brands. With new ambition comes new purpose. For New GSK, this is to unite science, talent, and technology to get ahead of disease together – all with the clear ambition of delivering human health impact; stronger and more sustainable shareholder returns; and as a new GSK where outstanding people thrive. Getting ahead means preventing disease as well as treating it. How we do all this is through our people and our culture. A culture that is ambitious for patients – so we deliver what matters better and faster; accountable for impact – with clear ownership of goals and support to succeed; and where we do the right thing. So, if you’re ready to improve the lives of billions, join us at this exciting moment in our journey. Join our challenge to get Ahead Together. Job Purpose 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. As a Digital Data Analysis Manager, you will be accountable for the delivery of a portfolio of digital biomarker data science projects across several disease areas. In this role, you will oversee a small team of data scientists and will also “hands-on” apply your expertise in signal processing, and machine learning to derive solutions to a range of problems in digital sensor data. This is a 50% Line Management role and 50% Individual Contributor role Key Responsibilities 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 signal processing techniques for feature engineering to extract clinically relevant information from digital data. Generate and validate machine learning models to identify actionable insights from complex sensor data. Connect and collaborate with subject-matter experts in 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. Expected Delivery Ensures high quality deliverables adhering to timelines using their high-level expertise in Python/R programming and Digital biomarkers data Training and development of team members Oversees process adherence Fosters collaboration Bringing efficiency in processes over time through new technology, study methodology etc. High quality and reliable review and research of articles, publications, white papers Recruitment and Retention Project and Resource Management Performance management Competencies Innovation - Process Efficiency, Creative Thinking, Problem Solving and Decision Making, Scientific Leadership and Strategy, Negotiation Skills, strategic thinking Performance -. Extensive hands-on experience in scientific computing using common data science packages for Python such as: Pandas, SciPy, NumPy, SciKit-Learn, PyTorch, TensorFlow, Seaborn/MatplotLib. Trust - Change Management, Communication with Impact, Collaborative Working, Influencing, Stakeholder Engagement Culture - Continuous Improvement, GSK culture, accountability, mentoring and coaching, performance management, Recruitment and Retention Educational Background Bachelor’s/ Master's Degree in life Sciences, Computer Sciences, Mathematics, Statistics or a related field with applicable experience. Preferably Ph.D. with specialized knowledge in data science applied to digital data At GSK we value diversity (Gender, LGBTQ +, PwD etc.) and treat all candidates equally. We aim to create an inclusive workplace where all employees feel engaged, supportive of one another, and know their work makes an important contribution. *LI-GSK Our goal is to be one of the world’s most innovative, best performing and trusted healthcare companies. We believe that we all bring something unique to GSK and when we combine our knowledge, experiences and styles together, the impact is incredible. 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