Recruitment Data Policies Global Advanced Analytics Partner (US)

UCB•Atlanta, GA

8d•Hybrid

About The Position

UCB is seeking an adaptable, collaborative Global Advanced Analytics Partner with an intrapreneurial mindset to join its Global Advanced Analytics team. This hybrid role is based in Atlanta, Raleigh, or Boston, with 40% onsite presence required. The role informs the commercial viability of assets in development by using secondary data and advanced analytics to generate insights and business impact. It leads the management and implementation of advanced analytics and AI projects, oversees the ongoing operation and scaling of analytics solutions, and serves as a subject matter expert on advanced analytics and AI capabilities supporting Patient Solutions and Patient Evidence. The partner works with teams across early- and late-stage assets, real-world evidence, Translational Medicine and Bioinformatics, clinical operations and recruitment, product planning, commercial functions, Medical Affairs, Market Access, Finance, and IT, as well as external data and analytics vendors. The role provides strategic partnership, project and team leadership, mentoring, and cross-functional collaboration to deliver reliable, high-impact, data-driven insights.

Requirements

Bachelor's degree in a quantitative area.
6–8+ years of experience applying predictive modeling techniques, including machine learning, decision trees, ensemble learning, or neural networks, and data transformation such as cleansing, integration, and fuzzy matching.
6–8+ years of experience developing program or project plans and leading programs or projects from initiation through implementation.
At least 6–8 years of experience working with real-world data, such as claims data, EMR, IQVIA, or -omics data.
Structured problem-solving skills.
An 80/20 mindset and ability to push for fast model iterations.
Ability to interpret model results and identify potential model errors, including overfitting, model bias, and correlation versus causation.
Willingness and flexibility to work across geographies and time zones, sometimes outside core hours.

Nice To Haves

6–8+ years of experience with programming and application development using Python or R (listed as preferred).
Master's or doctoral degree in a quantitative area.
Knowledge of the pharmaceutical industry, ideally specialty pharma and biologic treatments.
Deep expertise applying data science methodologies in pharmaceutical Research and Development and clinical trials.
Knowledge of the Go-to-Market domain, including commercial, medical, and market access functions.
Expertise analyzing large secondary transactional databases, unstructured data, or other computationally difficult data challenges.

Responsibilities

Provide expertise on opportunities to use advanced analytics, particularly when it can reduce the need for primary data or deliver substantial marginal impact.
Deliver impactful data and analytics projects that address compelling business questions or identify opportunities for patients and UCB.
Use effective visual displays of quantitative and qualitative information to communicate insights.
Partner strategically with functional stakeholders and co-create data and advanced analytics plans and priorities with Patient Solutions and Evidence Leads.
Build collaboration with IT, the Data Office, and other analytics teams using relevant data sources.
Mentor junior data scientists and translators in analytics applications, communication, presentation of insights, and practical implementation of recommendations.
Drive execution of regional and local data-driven insights research and analytics plans and priorities.
Foster a data science community across Hubs and Engine with strong business acumen and communication skills.
Supervise advanced analytics studies collaboratively and ensure study methodologies are appropriate to produce reliable results.
Develop and execute communication and collaboration plans with key UCB stakeholders.
Increase the team's business knowledge through direct interaction with patients and/or other external stakeholders.
Attract, retain, motivate, coach, and develop talent for the Advanced Analytics team.
Build deep partnerships with Hub insights teams, other Engines, and insight-generating functions to deliver cross-functional insights.
Champion a data-driven decision-making culture.
Oversee the ongoing operation of advanced analytics solutions, ensuring models continue to work and scaling solutions to meet additional demand and applications.