Analytical Manager

Must Have

Biology background with experience in analyzing experimental or pre-clinical data and a curiosity to evolve how data is interpreted and applied.

Keen attention to detail and demonstrated ability to improve existing approaches, methodologies, and protocols with an ability to think beyond current processes.

Strong collaboration skills and ability to partner across technical and operational teams.

Working knowledge of JMP software with interest in expanding into advanced modeling and analytical innovation.

Demonstrates expertise (understanding of technical fundamentals/practical application) in their analytical / knowledge area via in lab experimentation. Actively works with R&D business partners and / or Discipline contacts to define project needs. Develops technical plans, strategy, and resourcing proposals to meet program needs (whether as project SPOC or in-lab contributor) with limited input from manager / technical coach. Translates these interactions into in-lab experiments that solve problems, provide insights and advance projects.

Recognizes and finds creative solutions to technical roadblocks using technical training and understanding of product chemistry relevant to their area. Brings internal (within/outside their technical area) and external resources to bear on problems, and seeks input as required from manager/technical coach for priorities by identifying potential issues and ramifications on timings. Demonstrates ability to work across Disciplines/functions and able to work through others.

The Analytical Manager applies best practices to improve work flow processes. The Analytical Manager acts as administrative supervisor for analytical associate s team. Provides daily coaching for associates (goal setting and daily task setting), provide corrective action coaching to associates and meet with clients. Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics support that support key business decisions.

They will ensure data accuracy and consistent reporting by designing and creating optimal processes and procedures for analytics employees to follow. Ensure accuracy of data and deliverables of reporting employees with comprehensive policies and processes. Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple data systems on premises and cloud-based data sources.