Global Advanced Analytics Partner (US)
About The Position
UCB is seeking an adaptable, collaborative, and intrapreneurial Global Advanced Analytics Partner to strengthen its Global Advanced Analytics team. The position informs the commercial viability of assets in development by using secondary data and advanced analytics to generate insights, increase data use, and, where appropriate, reduce the need for primary data collection. The role manages and implements advanced analytics and AI projects, oversees the ongoing operation and scaling of analytics solutions, and serves as a subject matter expert supporting business needs within Patient Solutions and Patient Evidence. The role partners with Integrated Insights Leads and teams across early and late-stage assets, real-world evidence, translational medicine and bioinformatics, clinical operations and recruitment, new product planning, commercial, medical affairs, market access, finance, and IT. It also works with external data and analytics vendors and partners. The position is hybrid, based in Atlanta, Raleigh, or Boston, with 40% onsite presence. The Partner leads impactful analytics work, builds stakeholder partnerships and priorities, mentors data scientists and translators, and helps foster a data-driven decision-making culture. The role also develops talent, improves collaboration across hubs and analytics functions, and ensures advanced analytics studies use appropriate methodologies to produce reliable results.
Requirements
- Bachelor's degree in a quantitative area.
- At least 6–8 years of experience applying predictive modeling techniques, such as machine learning, decision trees, ensemble learning, and neural networks, and data transformation techniques such as data cleansing, integration, and fuzzy matching.
- At least 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.
Nice To Haves
- At least 6–8 years of experience with programming and application development using Python or R.
- 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; familiarity with commercial, medical, and market access aspects of the business.
- Expertise analyzing large secondary transactional databases, unstructured data, or other computationally difficult challenges.
- Structured problem-solving ability.
- An 80/20 mindset and ability to pursue fast model iterations.
- Ability to interpret model results and identify potential errors, including overfitting, model bias, and correlation-versus-causation issues.
- Willingness and flexibility to work across geographies and time zones, sometimes outside core hours.
Responsibilities
- Provide expertise in identifying opportunities to apply advanced analytics, particularly when it can reduce the need for primary data or create high marginal impact.
- Deliver impactful data and analytics projects that address compelling business questions or identify opportunities for patients and UCB through effective presentation of quantitative and qualitative information.
- Partner strategically with functional stakeholders to co-create data and advanced analytics plans and priorities with Patient Solutions and Evidence Leads.
- Collaborate closely with IT, the Data Office, and other analytics teams using relevant data sources.
- Mentor and guide junior data scientists and translators in applying advanced analytics, communicating and presenting insights, and implementing practical recommendations.
- Drive execution of regional and local data-driven insights research and data analytics plans and priorities.
- Foster a data science community with strong business acumen and communication skills across Hubs and Engine.
- Supervise advanced analytics studies collaboratively and ensure study methodologies are appropriate for reliable results.
- Develop and execute communication and collaboration plans with key UCB stakeholders.
- Build business knowledge through direct interaction by the Partner and team members with patients and/or other external stakeholders.
- Attract, retain, motivate, coach, and develop talent for the Advanced Analytics team.
- Develop deep partnerships with the Hub insights team, other Engines, and insight-generating functions, including regional analytics teams, to deliver cross-functional insights.
- Champion a data-driven decision-making culture.
- Manage and implement advanced analytics and AI projects, oversee solution operations, and scale solutions to meet additional demand and applications.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
