Job Description

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.

• 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

• 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