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Lead Statistical Analyst

2 months ago

Fort Wayne, Indiana, United States Cynet Systems Full time
Job Overview

We are seeking a Lead Statistical Analyst for our esteemed client.

Position Title: Lead Statistical Analyst

Job Type: Contract

Compensation: $95/hr - $100/hr

Key Responsibilities:

  • Operate under minimal supervision while adhering to all relevant federal, state, and local regulations, as well as company policies and guidelines.
  • Maintain strict compliance with established procedures pertinent to the role.
  • Exhibit the highest level of integrity in all assigned tasks.
  • Promptly identify, report, and rectify any deviations observed in the workplace.
  • Foster a culture of employee engagement and commitment to excellence in execution.
  • Serve as the primary global liaison for the Consumer supply chain, utilizing mathematical and statistical expertise to address technical challenges within internal facilities and external partners.
  • Ensure uniformity across the supply chain by developing and implementing capability-building programs focused on mathematics and statistics through comprehensive skill enhancement and targeted mentorship.
  • Review statistical software applications and methodologies for suitability.
  • Collaborate across various departments to influence favorable project results.
  • Articulate and present sound scientific concepts, evidence, risk assessments, and logical arguments to management and cross-functional teams.
  • Work alongside project teams to determine suitable study designs and data collection strategies that align with established objectives.
  • Identify, design, deliver, and evaluate the effectiveness of training programs aimed at enhancing the statistical competencies of non-statisticians.
  • Actively participate in project teams to identify scientifically valid data collection tools, ensuring that final analyses account for confounding factors and uncertainties, leading to defensible statistical conclusions.
  • Coordinate with external partners to manage workload effectively.
  • Develop innovative analytical strategies for practical applications.
  • Contribute to various governance committees as an ad hoc member.

Educational Qualifications:

  • A Bachelor's degree (or equivalent) is required; a Master's degree or PhD in Statistics or related Quantitative Sciences is preferred.

Professional Experience:

  • A minimum of 8 years of relevant experience is required, with at least 6 years in Statistics or related Quantitative Sciences preferred.
  • Experience in applied non-clinical statistics within manufacturing settings is ideal, particularly with pharmaceutical solids, liquids, and packaging. Supervisory experience is highly desirable.

Knowledge, Skills, and Abilities:

  • Proficient in ANOVA, regression analysis, variance components analysis, capability analysis, sampling plans, control charts, exploratory data analysis, and experimental design.
  • Familiarity with mixed effects modeling and multivariate analyses.
  • Ability to distinguish and communicate the differences between statistical and practical significance.
  • Expertise in statistical software such as SAS, JMP, Minitab, or R, with a preference for Minitab.
  • Understanding of pharmaceutical manufacturing processes is preferred.
  • Knowledge of current Good Manufacturing Practices (cGMPs) is advantageous, particularly in Quality Assurance or Technical Operations.
  • Strong communication and negotiation skills to effectively engage with internal and external stakeholders.
  • Demonstrated facilitation and organizational capabilities.
  • Exceptional oral and written communication skills.
  • Comprehension of team dynamics and organizational behavior.
  • Proven experience in conflict management and overcoming resistance.
Company Overview

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