Parsippany, New Jersey, USA
1 day ago
Director, Data Science - Measurement & Optimization

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
 

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 world’s 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 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 requiredLead 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 modelsBring thought leadership and thorough understanding of statistics, primarily predictive algorithms & methodologies, to construct robust propensity models for impactful commercial useCreate data science products that can be refreshed, reproduced and replicated consistentlyWork with other Data Scientists and Analysts to define retraining schedule and measure propensity models for impactPartner with global teams to cross-pollinate ideas and replicate successful models from other countries and vice versaExcellent communication and ability to abstract backend complexity when unnecessary

Basic Qualifications:

Bachelor's 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 impactStrong leadership capable of managing initiatives from beginning to end independentlyEffective written and verbal communication skillsDegree or above with significant relevant data science/analytics experienceBenchmarking 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 impactExperience in designing test control experimentsExperience working with standard pharma and consumer data types and sources such as patient claims, Xponent, Plantrak, sales, activityExpertise in commonly used pharma datasets such as IQVIA, Symphony, Komodo claims, Optum, Definitive health, Health Verity, EMR/EHRExpertise 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 preferredDemonstrated product mindsetFamiliarity with product management principlesEffective written and verbal communication skillsStrong team player. Inclusive, objective, cross-functional, team member with a positive and solution-oriented mindsetUnderstanding of emerging data science capabilities (fields, methodologies, algorithms, etc.) and potential application in pharma/health careThorough understanding of datasets including their strengths and limitations such as capture rate, projections and acceptable error ranges for different therapeutic spaces


 

The salary range for this position is: $205,615.00 - $266,090.00. Gilead considers a variety of factors when determining base compensation, including experience, qualifications, and geographic location. These considerations mean actual compensation will vary. This position may also be eligible for a discretionary annual bonus, discretionary stock-based long-term incentives (eligibility may vary based on role), paid time off, and a benefits package. Benefits include company-sponsored medical, dental, vision, and life insurance plans*.

For additional benefits information, visit:

https://www.gilead.com/careers/compensation-benefits-and-wellbeing

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


For jobs in the United States:

Gilead Sciences Inc. is committed to providing equal employment opportunities to all employees and applicants for employment, and is dedicated to fostering an inclusive work environment comprised of diverse perspectives, backgrounds, and experiences. Employment decisions regarding recruitment and selection will be made without discrimination based on race, color, religion, national origin, sex, age, sexual orientation, physical or mental disability, genetic information or characteristic, gender identity and expression, veteran status, or other non-job related characteristics or other prohibited grounds specified in applicable federal, state and local laws. In order to ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veterans' Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact ApplicantAccommodations@gilead.com for assistance.


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