Go-to-Market Data Scientist Lead

Make your mark for patients

To strengthen our Global Advanced Analytics team, we are looking for an adaptable, collaborative individual with an intrapreneurial mindset to fill the position of : Go-to-Market Data Scientist Lead.

The Go-to-Market domain encompasses the commercial, medical, and market access facets of the business. This hybrid role is based in our Atlanta, GA, Raleigh, NC or Boston, MA.

Relocation assistance is available.

About the role

You will be responsible for making exceptional business impact with the use of secondary data and insights development through advanced analytics methods, enabling an increased use of data and, where applicable, reducing the necessity for building primary data.

You will also be responsible for managing and implementing advanced analytics / AI projects to ensure successful delivery.

You will oversee the ongoing operations of advanced analytics solutions to ensure that models continue to work and scale them up with additional demand and applications.

You will serve as the subject matter expert for Advanced Analytics / AI capabilities in support of business needs.

Who you’ll work with

You will work with the Global Advanced Analytics Team Leads, US and Global Go-to-Market Teams, Integrated Insights Hub Leads, as well as business stakeholders in the Patient Value Units.

Externally, you will work with payors and analytics vendors that support data science projects. The mission of this role is to deliver data-driven actionable insights from advanced analytics that create high impact patient value.

What you’ll do

• Analytics Leadership . Provide clear expertise for opportunities to leverage advanced analytics, especially where they are advantageous to reducing the need for primary data or have high marginal impact
• Deliver the most impactful data and analytics projects that : 1) address the most compelling business questions, and / or 2) identify new opportunities for patients and UCB through effective visual displays of quantitative and qualitative information
• Team Leadership . Serve as a mentor and guide to more junior data scientists and translators in demonstrating the application of cutting-edge analytics, clear communication and presentation of insights and practical / pragmatic implementation of key recommendations
• Partnership and Collaboration . Be the key strategic partner for the Go-to-Market or functional stakeholders and co-create plans and priorities for data and advanced analytics with them together with the Go-To-Market Hub Leads.

Ensure tight relationships and collaboration with IT, Data Office, and other Analytics teams using relevant data sources.

• Drive the execution of regional and local data-driven insights research and data analytics plans and priorities.
• Foster a strong data science community with significant business acumen and communication skills across Hubs and Engine
• Supervise the conduct of advanced analytics studies in a collaborative manner ensuring that the study methodology is appropriate to deliver reliable results.
• Improve the team’s partnership with, and impact on, key internal (UCB) and external stakeholders within the specific area of focus by : developing and executing a communication and collaboration plan with key UCB stakeholders.

increasing personal and the Advanced Analytics team’s knowledge of the business by ensuring that she / he and each team member has direct interaction with patients and / or other external stakeholders.

• Attract, retain, motivate, and develop key talent for the Advanced Analytics team; coach and develop team members.
• Drive deep partnership with the Hub insights team and other fellow Engines and insights generating functions (e.g. regional analytics teams) allowing for a joined delivery of cross-functional, deep impactful insights
• Be a champion for a data-driven, decision-making culture

Interested? For this position, the following education, experience, and skills are mandatory :

• Master / Doctor’s degree in quantitative area is preferred
• Minimum of 7 years experience applying predictive modeling techniques such as ML, decision trees, ensemble learning, neural networks etc, and data transformation such as data cleansing and integration, fuzzy matching, etc., is required
• Minimum of 7 years of experience developing program / project plans and leading programs / projects from initiation to implementation is required
• Minimum of 7 years experience with programming and application development using Python or R is preferred
• Knowledge of pharmaceutical industry, ideally specialty pharma and biologic treatments
• Deep expertise in leveraging data science methodologies within the Go-to-Market sphere of the pharmaceutical industry.

The Go-to-Market domain encompasses the commercial, medical, and market access facets of the business.

• Expertise in analyzing a range of large, secondary transactional databases, unstructured data or other computationally difficult challenges
• Mastering project management skills is required
• You are a structured problem solver
• Possess an 80 / 20 mindset to push for fast model iterations
• You must also be able to interpret model results and identify potential model errors (e.g., overfitting, model bias, correlation vs causation)
• Global role, so willingness and flexibility to work across geographies / time zones (sometimes outside of core hours)

This positions reasonably anticipated base salary range is $141,760 - $ 186,060 per year. The actual salary offered will take into account internal equity and may also vary depending on the candidate's geographic region, job-related knowledge, skills, and experience, among other factors.

Are you ready to go beyond’ to create value and make your mark for patients? If this sounds like you, then we would love to hear from you!