Director, Advanced Analytics; Metrics, Analytics, & Performance

Job Description

Position Description:

Director; Advanced Analytics; Metrics, Analytics, & Performance (MAP)

The Director, Advanced Analytics will work with our partners across GCTO to help address critical business questions beyond simple descriptive or diagnostics dashboards and/or reports.  This individual will work independently and/or lead a team to define and execute data modelling processes to create algorithms, predictive models, and analysis related to clinical trial operations.​

Primary responsibilities include:

• Collaborate with Subject-Matter Experts (SMEs) and other business stakeholders to solve complex problems; takes a broad perspective to identify & deliver innovative solutions

• Develop & execute advanced analytics that includes predictive, prescriptive, & machine learning/AI capabilities

• Build prototypes for early user validation

• Identifying and acquiring data based on business needs to enhance or complement current solutions/data sets

• Exploring novel methods of retrieving, blending, and organizing data to develop innovative solutions

• Ensure data science investments are maximized by data-driven initiatives, data quality and governance, data access, and tools

• Interprets internal/ external business challenges and best practices to recommend improvements to products, processes, or services

• Maintain knowledge of the competitive landscape and identifies areas of competitive differentiation

• Maintain knowledge of state-of-the-art innovations in data science from both academic and industry sources

• Communicate applicable results and analysis to a diverse group of stakeholders

Leadership:

• Leading analytics teams or projects; motivates junior team members; promotes the value of working together as a team and relationship building

• Manages projects with high resource requirements, risk and/or complexity

• The role must demonstrate appropriate company Leadership Standards.  Experienced with "getting things done" in a complex work environment is required.

Position Qualifications:

Education & Experience Minimum Requirement:

Degree in computer science, physics, mathematics, actuarial science, or relevant field

• Bachelor’s degree with 15 years of professional experience with at least 10 years in data wrangling, exploration/mining, statistical modelling and machine learning

OR

• Master’s degree with 10 years of professional experience with at least 8 in data wrangling, exploration/mining, statistical modelling and machine learning

OR

• PhD with 5 years of professional experience with at least 3 in data wrangling, exploration/mining, statistical modelling and machine learning.

Required Experience and Skills:

• At least one programming language – R/ Python, BI tools ( i.e. Qlik, Microsoft Power BI, Spotfire), Software development lifecycle (SDLC).

• Expert business/communication skills.

• Use case development.

• Excellent presentation skills including storytelling.

• Familiarity with applicable data privacy practices and laws.

• Proven abilities to take initiative and be innovative; highly autonomous and problem solver.

• Project management and agile/scrum methodologies.

• Communication skills including the ability to explain difficult concepts and influence others to adopt a different point of view, when appropriate.

Preferred Experience and Skills:

• Experience in clinical development, clinical operations, or pharmaceuticals

#EligibleforERP

MRLGCTO

NOTICE FOR INTERNAL APPLICANTS

In accordance with Managers' Policy - Job Posting and Employee Placement, all employees subject to this policy are required to have a minimum of twelve (12) months of service in current position prior to applying for open positions.

If you have been offered a separation benefits package, but have not yet reached your separation date and are offered a position within the salary and geographical parameters as set forth in the Summary Plan Description (SPD) of your separation package, then you are no longer eligible for your separation benefits package. To discuss in more detail, please contact your HRBP or Talent Acquisition Advisor.