Senior Manager/ Associate Director, Commercial Data Science

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

As Senior Manager / Associate Director of Commercial Data Science, you will work with a multidisciplinary international team of world-class professionals in Commercial to develop and maintain contemporary analytics capabilities that enable high impact commercial and marketing execution across all channels. The successful candidate will participate in a data-driven, agile culture that helps drive top-line growth and bring significant value and delight to patients with unmet medical needs. She or he will serve as a thought-leader for recommending and executing best-in-class approaches to drive decision-making with data.

This role has flexibility to be either Senior Manager or Associate Director level depending on experience. Onsite presence in Princeton, NJ 2/3 times a week is required.

Responsibilities

Strategic

• Consult on all levels of the analytics lifecycle. Including but not limited to, data acquisition, KPI creation, predictive analytics, NLP and machine learning.
• Demonstrate strong business acumen, excellent communication skills and ability to succinctly express point view using both written and verbal communications.
• A POC mindset: create dynamic experiments directly with stakeholders to solve problems with data before “hardening” a solution.
• Collaboration with technology partners to deliver advanced analytics solutions to business stakeholders and our customers

Execution

• Techniques include next best action approaches, key driver analysis, regression, survival analysis, forecasting, topic modeling, customer segmentation.
• Lead ongoing analyses to measure channel and message effectiveness utilizing appropriate data science and statistical techniques.
• Conduct hands-on, ad-hoc analyses related to Digital/Multichannel marketing execution and customer engagement.
• Respond to various business questions with data-driven, actionable insights requiring the use of advanced data manipulation, synthesis and visualization techniques.
• Provide concise analyses that go beyond a presentation of the facts to include a discussion of the associated business implications and recommended course of action.
• Provide effective leadership to relevant partnerships with contracted organizations
• Provide clear requirements to technical and consultant teams and coordinate delivery.
• Ability recommend and QA both technical and business requirements.

Requirements

• 7+ years’ experience in a modern data analytics/data science function, preferably in commercial pharma (agency or in-house).
• 3+ years using cloud native services.
• Fluency in real world datasets, e.g. claims, ehr, labs.
• Mastery of SQL.
• R or Python
• Dashboarding in tools like rShiny, Tableau, PowerBi, Flask.
• MS or PhD degree in a quantitative discipline.
• Strong background in a data science and marketing analytics (e.g. multivariate statistics, predictive models, ML , simulation, etc.)
• Familiarity with web, search, social analytics
• Experience with customer journey analysis - segmentation methods and conversion analysis.
• Familiar with available commercial data sources including Rx, pharmacy claims, payer, formulary, HCP affiliations, etc.
• Demonstrated ability to partner with stakeholders and work in a cross-functional team environment as well as experience in managing outside consultants
• Strong written and verbal communication skills; strong presentation skills.
• Highly independent with the ability to develop innovative solutions to complex, unstructured problems.

Genmab will offer the successful application a challenging position, where the right candidate will have the opportunity to work with highly specialised people across functions in an informal, multicultural environment, with an aim to make a difference in the lives of people with cancer.