Director, Data Science Measurement & Optimization

At Gilead were creating a healthier world for all people. For more than 35 years weve 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 worlds biggest health challenges and our mission requires collaboration determination and a relentless drive to make a difference.

Every member of Gileads 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 were 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

At Gilead our pursuit of a healthier world for all people has yielded a cure for hepatitis C revolutionary improvements in HIV treatment and prevention as well as advancements in therapies for viral and inflammatory diseases and certain cancers.

We set and achieve bold ambitions in our fight against the worlds most devastating diseases united in our commitment to confronting the largest public health challenges of our day and improving the lives of patients for generations to come. As a Director Data Science - Measurement & Optimization at Gilead you will report to the Senior Director Data Science AI & Optimization. Based in Parsippany NJ US 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:

• Lead the development and delivery of models and methodologies to inform and evaluate brands marketing and sales tactics (e.g. marketing mixresource 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. AB 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 ( engagement lift etc.)
• Understand Gileads 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:

Bachelors Degree and Twelve Years Experience

OR

Masters Degree and Ten Years Experience

OR

PhD and Eight Years Experience

• 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 with significant relevant data science/analytics experience
• Benchmarking experience in digital and / or emerging AI fields such as generative AI.

Preferred Experience:

• Experience in measuring implementing optimizing and using AI-based solutions to establish proven business impact
• Experience in designing test control experiments
• Experience working with standard pharma and consumer data types and sources such as patient claims Xponent Plantrak sales activity
• Expertise in commonly used pharma datasets such as IQVIA Symphony Komodo claims Optum Definitive health Health Verity EMR/EHR
• Expertise in Python including commonly used data science libraries such as numpy pandas scikit-learn seaborn networkx etc.
• Expertise in data science techniques such as ANCOVA Bayesian Statistics Econometric modelling Neural Networks/Logistic etc.
• Understanding of cloud-based technologies and tools such as Databricks AWS etc.
• Experience designing measurement solutions in any visualization software (Tableau preferred)
• Experience with ex-US (European) markets is not required but highly preferred
• Demonstrated product mindset
• Familiarity with product management principles
• Effective written and verbal communication skills
• Strong team player. Inclusive objective cross-functional team member with a positive and solution-oriented mindset
• Understanding of emerging data science capabilities (fields methodologies algorithms etc.) and potential application in pharma/health care
• Thorough understanding of datasets including their strengths and limitations such as capture rate projections and acceptable error ranges for different therapeutic spaces

For additional benefits information visit:

Eligible employees may participate in benefit plans subject to the terms and conditions of the applicable plans.

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