Global Advanced Analytics Lead

About the role

To strengthen our Global Advanced Analytics team, we are looking for an adaptable, collaborative individual with an intrapreneurial mindset for our Global Advanced Analytics Lead opening. This hybrid role is based in our Atlanta, GA, Raleigh, NC or Boston, MA offices, requiring 40% onsite presence. This role can be hybrid (40% on site presence in Atlanta, Raleigh or Boston) or Remote (up to 20% onsite presence) and requires 5-10% international/domestic travel.

Responsibilities

• Help to inform on the commercial viability of various assets in development.
• 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.
• Manage and implement advanced analytics/AI projects to ensure successful delivery.
• Serve as the subject matter expert for Advanced Analytics/AI capabilities in support of business needs within Patient Solutions and Patient Evidence.

Requirements

• Minimum Experience/Skills Required: Bachelor's degree in quantitative area, minimum of 8-10+ years experience applying predictive modeling techniques, minimum of 8-10+ years of experience developing program/project plans and leading programs/projects from initiation to implementation, minimum of 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.
• Preferred Experience/Skills: 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, expertise in analyzing a range of large, secondary transactional databases, unstructured data or other computationally difficult challenges, structured problem solver, interpret model results and identify potential model errors (e.g., overfitting, model bias, correlation vs causation).

Qualifications

The reasonably anticipated salary range for this position is $148,000-$194,300 per year. The actual salary offered will take into account related knowledge, skills, experience and location among other factors and may fall outside the expected range.

Skills

Structured problem solver, interpret model results and identify potential model errors (e.g., overfitting, model bias, correlation vs causation)

Benefits

Global role, so willingness and flexibility to work across geographies / time zones (sometimes outside of core hours)

Pay

$148,000-$194,300 per year

Schedule

Hybrid (40% on site presence in Atlanta, Raleigh or Boston) or Remote (up to 20% onsite presence)

Benefits

Flexible work arrangements, remote work options, hybrid work model, professional development opportunities, competitive compensation package, comprehensive benefits package including health insurance, retirement savings plans, paid time off, and more.

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UCB is an equal opportunity employer. All employment decisions will be made without regard to any characteristic protected by applicable federal, state, or local law. UCB invites you to voluntarily self-identify during the application process. Provision of self-identification information is entirely voluntary and a decision to provide or not provide such information will not have any effect on your application for employment, your employment with UCB, or otherwise subject you to any adverse treatment. Any information you provide will be considered confidential and will be kept separate from your application and/or personnel file and will only be used in accordance with applicable laws, orders, and regulations.