Data Scientist, Trial Operations Analytics

Key Skills

AWS, Azure, Data pipelines, Data science techniques, Databricks, Google Cloud Platform (GCP), Machine learning techniques, Natural Language Processing (NLP), PowerBI, Python Programming, SQL

Job Description

This role will have two key responsibilities - solving business problem statements through execution of ad hoc analyses and building / maintaining data science solutions to be embedded as features into analytics products in support of better planning and monitoring of GSK’s clinical trials.

• Appropriately train and maintain machine learning models for accuracy and relevance with analytical findings. Pull through analytics and business acumen through appropriate selection of methods fit for purpose that reveal customer patterns in the data that may spark additional data analysis or research for deep customer insight
• Productize analytics solutions / Proof of concepts as features on Azure based analytics platform using systems understanding, engineering constraints and system performance needs
• Develop broad methodological and advanced analytics approach expertise with unstructured data analytics; Stay on top of the latest external methods and approaches, current and emerging industry trends, and advanced methods/best practices.
• Develop compelling summaries that visualize the data through narrative dashboards to clearly tell a succinct story in easy-to-understand ways; Focus on the key findings and insights in alignment with stakeholders' goals/business needs with proper validation techniques to build confidence in the results.

Required qualifications and Experience

We are looking for professionals with these required skills to achieve our goals:

• 4+ years of experience of working in Data Science or related role
• 4+ years in applied Machine Learning, supervised and unsupervised learning.
• Experience in NLP/ML applied to clinical trials operations, patient identification or medical domain a plus/preferred
• Experience with data analytics using Real-World Data (RWD) a plus
• Demonstrated curiosity and passion about creative problem solving and data innovation, demonstrated accountability in driving project, demonstrated autonomy in leading stakeholder discussions and delivery
• Proficiency in Python programming, SQL, Statistics, data pipelines and data story telling through visualization methods e.g., PowerBI, PowerPoint, Excel etc.
• Working knowledge of cloud based and local data science frameworks and toolkits. Experience in Azure / Databricks / Azure Health is preferred but GCP / AWS would be considered
• Exposure to building large scale machine learning systems or product development environment would be preferred but not mandatory

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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