Director, Statistics

Relocation Assistance Offered Within Country
Job Number #173390 - Piscataway, New Jersey, United States

Who We Are

Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name!

Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all.
 

 

Title: Director of Global Statistics

Location: Piscataway  

Travel:  As needed ~10%

 The Role:

The primary function of CP R&D is to develop new and innovative products. To this end, our scientists  must make important decisions based on limited data and considerable uncertainty. As a leader of CP Statistics, you will ensure that our organization and scientists are equipped and skilled to make better data-based decisions in the face of this uncertainty.  You will achieve this through direct one-on-one collaboration, strategic capability development and training. Your vision, leadership, and analytical expertise will help sustain our pipeline of innovative products and ensure that CP continues to retain its well-earned reputation as an innovation leader in the CPG industry. 

 

Responsibilities:

• Promote application of Statistical Thinking and Design of Experiments (DOE) to improve the efficiency and effectiveness of product development process

• Provide one-on-one project-specific consulting on DOE design, analysis, and interpretation

• Support automation of core routine statistical tasks (eg DOE, stability analysis, process capability) into enterprise applications 

• Provide pre-clinical guidance on clinical study design, power, and statistical analysis plan (SAP) for study protocols

• Conduct post-clinical data analysis and help investigators with interpretation, claim support, and publication 

• Provide analysis of accelerated stability data to substantiate product shelf life declarations for new product registration

• Work with plant-based Quality teams to increase the effectiveness of our process capability and Six Sigma continuous improvement programs

• Provide statistical support/POV to address issues raised by Regulatory bodies (eg, FDA audits, FTC/NAD claim challenges, etc)

• Work with R&D leaders to identify and rectify capability gaps (eg, Sensory methods, stability analysis, Six Sigma) 

• Use appropriate statistical design and validation tools to assess and improve measurement system accuracy and precision

• Manage, administer, and foster development of direct reports

• Manage and administrator commercial statistical software applications (eg, SAS, JMP,  Minitab, DesignExpert)

 

Required Qualifications:

• A minimum of a Master's Degree or higher in Industrial Statistics, Biostatistics, or related field is required

• 10+ years of expereince in a consumer products industry, pharmaceutical, biotech, or related industry

• Demonstrated expertise in application of DOE in consumer product R&D

• Demonstrated expertise in clinical design and biostatistical analysis

• Statistical software skills (SAS, JMP, Minitab, DesignExpert, R, Python)  

• Enterprise software skills (SQL, AWS, LIMs, etc)

Preferred Qualifications:

• Masters Degree

• Background in stability testing methods, accelerated data analysis and Arrhenius modeling

• Background in sensory science, consumer/expert panel testing, and analysis methods

• Prior experience working with regulatory bodies (eg FDA, FTC/NAD) 

• Prior experience in method development design and validation

• Familiarity with manufacturing quality control metrics and tools (eg process capability, sampling plans, Six Sigma DMAIC)

• Excellent communication skills (written and oral)

• Enthusiasm and passion for teaching/raising awareness of utility of statistics

• Excellent consulting/collaboration skills

• Familiarity with tools and methods used in omics data analysis (i.e. genomics, transcriptomics, proteomics, and met