Data Science Lead

UCB•Atlanta, GA

4d•Hybrid

About The Position

To strengthen our Global Advanced Analytics team, we are looking for an adaptable, collaborative individual with an intrapreneurial mindset for our Analytics Lead opening . This hybrid role is based in our Atlanta, GA, Raleigh, NC or Boston, MA offices, requiring 40% onsite presence. About the role You will help to inform on the commercial viability of various assets in development. 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 within Patient Solutions and Patient Evidence. Who you'll work with You will co-create with Integrated Insights Leads from early asset and late stage (Phase 0-3) teams , Real world evidence teams, Translational Medicine and Bioinformatics, Clinical operations, clinical recruitment, and asset teams, new product planning teams, Commercial teams, Medical Affairs, Market Access, Finance, and IT. Externally, you will work with data and analytics vendors and partners. 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: address the most compelling business questions, and/or identify new opportunities for patients and UCB through effective visual displays of quantitative and qualitative information Partnership and Collaboration: Be the key strategic partner for functional stakeholders and co-create plans and priorities for data and advanced analytics with them together with the Patient Solutions and Evidence Leads. Ensure tight relationships and collaboration with IT, Data Office, and other Analytics teams using relevant data sources. 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 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 and 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 role we're looking for the following education, experience and skills

Requirements

Bachelor's degree in quantitative area
Minimum of 8-10+ 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 8-10+ years of experience developing program/project plans and leading programs/projects from initiation to implementation is required
At least 8 years of experience working with real world data (Claims data, EMR, IQVIA, -omics, etc)
Minimum of 8-10+ years of experience with programming and application development using Python or R is preferred

Nice To Haves

Master/Doctor's degree in quantitative area
Knowledge of pharmaceutical industry, ideally specialty pharma and biologic treatments
Deep expertise in leveraging data science methodologies within the Research and Development and Clinical trials 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
You are a structured problem solver
Possess an 80/20 mindset to push for fast model iterations
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)
Internal applicants should be in their current job for at least 12 months, must meet performance standards and are not on formal corrective/disciplinary process (PIP), warning, final warning, or compliance warning letters within the last 12 months.
Please inform your Manager or your Talent Partner before applying to any internal job opportunities.
Unless explicitly stated in the description, this role is hybrid with 40% of your time spent in the office, regardless of your current contractual agreement. If your current working arrangements differ, please contact your Talent Partner to discuss before submitting your application.

Responsibilities

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: address the most compelling business questions, and/or identify new opportunities for patients and UCB through effective visual displays of quantitative and qualitative information
Be the key strategic partner for functional stakeholders and co-create plans and priorities for data and advanced analytics with them together with the Patient Solutions and Evidence Leads.
Ensure tight relationships and collaboration with IT, Data Office, and other Analytics teams using relevant data sources.
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
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 and 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