Associate Director, Data Science- Commercial

Gilead Sciences•Foster City, CA

1d•Hybrid

About The Position

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. As Associate Director, Data Science, you will proactively bring innovative data science techniques and insights to business to drive/support strategic business decisions. You would be responsible for standing up the capability of integrated HCP, patient journey and predictive sciences at scale for commercial market. The person will work closely with integrated insights, commercial ops, patient engagement and omni channel analytics leads. Hands on functional expertise, highly collaborative mindset and leadership skillsets required. This role will report to Sr. Director, Marketing Sciences and based in either Foster City, CA or Parsippany, NJ.

Requirements

Bachelor's Degree and Eight Years' Experience OR Masters' Degree and Six Years' Experience OR PhD and Two Years' Experience

Nice To Haves

Strong working knowledge of machine learning algorithms, including regression, clustering, neural networks, Bayesian models, RNN, CNN, Tree-based algorithms (RF, XGB, LightGBM), SMOTE and etc.
Experience in building, implementing and using AI-based solutions with proven business impact
Experience working with standard pharma and consumer data types and sources such as patient claims, Xponent, Plantrak, sales, activity.
Strong leadership that be able to manage initiatives from beginning to end himself/herself
Effective written and verbal communication skills
Experience in implementing, optimizing and using AI-based solutions to establish proven business impact
Expertise in commonly used pharma datasets such as IQVIA, Symphony, Komodo claims, Optum, Definitive health, Health Verity, EMR/HER
Expertise in Python including commonly used data science libraries such as numpy, pandas, scikit-learn, seaborn, networkx, etc.
Expertise in data science techniques such ANCOVA, Bayesian Statistics, Econometric modeling, Neural Networks/Logistic, etc.
Understanding of cloud-based technologies and tools such as Databricks, S3, etc.
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
Masters degree in a quantitative field with at least 8 years of relevant data science/analytics experience OR Undergraduate degree in a quantitative field with at least 10 years of relevant data science/analytics experience

Responsibilities

Be a partner in driving the industrialization of predictive sciences to help understand the patient journey and triggers robustly for markets.
Understand Gilead's commercial business objectives, develop and deploy scalable data science products and insights to influence decisions in marketing, sales, medical and etc.
Lead Data science projects end to end include convert unconstructured business questions into data science solutions, give guidance to offshore, be a hands-on leader who knows how to code and debug, communicate with stakeholders and etc.
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
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 where it is not needed
Manage DS initiatives and deliveries for a priority TA