Non-Clinical Statistics Team Lead

Role Description

JOB TITLE:

Non-Clinical Statistics Team Lead

Statistics and Data Management, Automation and Data Sciences 

Veterinary Medicine Research & Development (VMRD)

May consider remote*
 

POSITION RESPONSIBILITIES:

We are seeking a Non-Clinical Statistics Team Lead with deep expertise in statistical design and analysis of experiments for applications in pharmaceutical manufacturing, diagnostics, and/or device development. Strong team-building, interpersonal skills, and statistical consulting experience are essential.

The ideal candidate will partner closely with laboratory scientists, engineers, and cross-functional stakeholders to ensure the use of fit-for-purpose study designs and statistical methods that support robust decision-making, high-quality deliverables, and program success. A willingness to develop a strong understanding of laboratory methods and device development processes is essential for effective communication and collaboration.
 

This role is a player–coach position: the colleague will lead and mentor a team of statisticians while also contributing directly to ongoing projects. Our department is highly collaborative, and colleagues are expected to actively engage in group discussions, contribute to best practices, and follow standardized departmental procedures to promote consistency and quality across studies.

The successful candidate must have excellent communication and interpersonal skills, the ability to work both directly and indirectly through other statisticians with multidisciplinary teams, and strong capability to manage multiple concurrent projects. Cross-site support is required, and occasional travel may be necessary.

The successful applicant embodies Zoetis’ Core Beliefs: Our Colleagues Make The Difference, Always Do The Right Thing, Customer Obsessed, Run It Like You Own It, and We Are One Zoetis.

Responsibilities

• Lead a team of statisticians to apply fit-for-purpose study designs and statistical methods across assay, method, and process development and validation, as well as specification setting for drug, vaccine, and diagnostics products.
• Participate in the design, execution, and analysis of studies supporting the above areas.
• Advance the implementation of Quality by Design (QbD) principles and Design of Experiments (DoE) methodologies.
• Collaborate with statistics leadership, stakeholders, and partners to implement statistically optimal approaches and contribute to the development of guidelines, templates, best practices, and SOPs.
• Develop and deliver statistical education courses in collaboration with other members of the statistics team.
• Coach and mentor both statistical and non-statistical colleagues in their personal, technical, and career development.
• Contribute to team discussions to promote continuous improvement and sharing of statistical knowledge and approaches.
• Help develop and standardize experimental design protocols across multiple projects.
• Provide guidance on data collection and retrieval; develop programs or tools to enable scientists to generate analyses where appropriate.

Qualifications

• PhD (preferred) or MS in Statistics (or a closely related field with extensive statistical training)
• 10+ years of pharmaceutical experience

Essential Skills and Attributes

• Comprehensive knowledge of statistical design and modeling approaches in drug and/or diagnostics development, including QbD and DoE principles.
• Proficiency with data handling and statistical analysis using PC-SAS, JMP, R, and other relevant software packages.
• Excellent oral and written communication skills, with strong statistical consulting expertise.
• Demonstrated leadership experience, including building and/or managing teams while fostering innovation, creativity, learning mindsets, teamwork, continuous improvement, and accountability.
• Strong interpersonal skills with a proven ability to build relationships with peers and cross-functional partners.
• Skilled in delegation, coaching, and providing supportive learning opportunities for team members.
• Ability to critically evaluate scientific publications.
• Highly organized, detail-oriented, and capable of managing multiple concurrent projects effectively.

The following base pay range reflects the anticipated base pay for this position if a selected candidate were to be located in (Colorado). Base pay may vary based on location and other factors.

Base Pay Range: $184,000- $225,000

The following base pay range reflects the anticipated base pay for this positio