Job Specifications
At Gilead, we’re creating a healthier world for all people. For more than 35 years, we’ve tackled diseases such as HIV, viral hepatitis, COVID-19 and cancer – working relentlessly to develop therapies that help improve lives and to ensure access to these therapies across the globe. We continue to fight against the world’s biggest health challenges, and our mission requires collaboration, determination and a relentless drive to make a difference.
Every member of Gilead’s team plays a critical role in the discovery and development of life-changing scientific innovations. Our employees are our greatest asset as we work to achieve our bold ambitions, and we’re looking for the next wave of passionate and ambitious people ready to make a direct impact.
We believe every employee deserves a great leader. People Leaders are the cornerstone to the employee experience at Gilead and Kite. As a people leader now or in the future, you are the key driver in evolving our culture and creating an environment where every employee feels included, developed and empowered to fulfil their aspirations. Join Gilead and help create possible, together.
Job Description
Director , Data Science - Measurement & Optimization
Office Location: Stockley Park, UK - 3 days a week
As Director, Data Science - Measurement & Optimization, you will report to the Senior Director, Data Science – AI & Optimization. Based in Stockley Park, UK, you will proactively bring innovative data science techniques and insights to the business to drive/support strategic business decisions. You will be responsible for measurement solutions and resource optimization recommendations for commercial markets across Therapeutic Areas.
The ideal candidate brings deep expertise in developing marketing mix models and measurement frameworks, particularly within the pharmaceutical commercial domain. You will work closely with integrated insights, commercial ops, patient engagement and omnichannel analytics leads. You will be expected to turn business insights into technical details and vice versa acting as a conduit between business teams and other data scientists. You will also be required to stay in touch with emerging digital and other AI fields (such as Generative AI), focused on benchmarking and measurement. You will be expected to guide internal teams to make the right business decisions through effective value assessment and estimation, measurement planning and the measurement itself.
This is an individual contributor role, supported by a team of offshore data scientists. Occasional travel to global Gilead locations may be required. Hands-on functional expertise, highly collaborative mindset and leadership skills are required to perform this role efficiently.
Responsibilities
Key Responsibilities:
Lead the development and delivery of models and methodologies to inform and evaluate brands' marketing and sales tactics (e.g., marketing mix, resource allocation) using the latest data science techniques (ANCOVA, Bayesian Statistics, Econometrics, Neural Networks/Logistic, etc.)
Oversee and guide the development and execution of experiments (e.g., A|B and multi-variate tests) to assess the effectiveness of tactics, modifying initiatives as required
Lead the design of KPIs to track the effectiveness of recommendations that have been implemented and the measurement of campaign impact (e.g., ROI, engagement, lift, etc.)
Understand Gilead's commercial business objectives, develop and deploy scalable data science products and insights to influence decisions in marketing, sales, medical, etc.
Lead Data science projects end to end including converting unstructured business questions into data science solutions, give guidance to offshore, be a hands-on leader who knows how to code and debug, and communicate with stakeholders.
Foster a culture of measurement and impact and incorporate feedback to continuously improve data science models
Bring thought leadership and thorough understanding of statistics, primarily predictive algorithms & methodologies, to construct robust propensity models for impactful commercial use
Create data science products that can be refreshed, reproduced and replicated consistently
Work with other Data Scientists and Analysts to define retraining schedule and measure propensity models for impact
Partner with global teams to cross-pollinate ideas and replicate successful models from other countries and vice versa
Excellent communication and ability to abstract backend complexity when unnecessary
Basic Qualifications
Strong working knowledge of machine learning algorithms, including regression, clustering, neural networks, Bayesian models, RNN, CNN, Tree-based algorithms (RF, XGB, LightGBM), SMOTE, etc.
Experience in building, implementing and using AI-based solutions with proven business impact
Strong leadership capable of managing initiatives from beginning to end independently
Effective written and verbal communication skills
Degree or above wit
About the Company
At Gilead, we set – and achieve – bold ambitions to create a healthier world for all people. From our pioneering virology medicines to our growing impact in oncology, we're delivering innovations once thought impossible in medicine. Our focus goes beyond medicines, and we also strive to remedy health inequities and break down barriers to care. We empower our people to tackle these challenges, and we’re all united in our commitment to help millions of people live healthier lives.
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