The Statistician II will support process development projects by applying statistical design and analysis to optimize experimental outcomes. This role is highly collaborative, involving close interaction with process scientists and engineers to design studies, analyze data, and report results that support process characterization and product development. The ideal candidate will have strong technical expertise in statistical methodologies and hands-on experience using JMP, as well as the ability to effectively communicate complex data insights to cross-functional teams.
Key Responsibilities
- Develop study designs (Design of Experiments, DOE), perform statistical analysis, and generate reports using in-house developed JMP tools for fast-paced, critical path projects.
- Participate in process characterization teams to understand experimental requirements and constraints, and design appropriate study experiments.
- Collaborate closely with process scientists and engineers to discuss study design, execution, and interpretation of results.
- Perform statistical analysis and data visualization to support experimental findings and decision-making.
- Work with process teams to complete and finalize study reports, ensuring clarity and scientific accuracy.
- Communicate effectively across teams using collaboration tools such as Microsoft Teams and email, ensuring alignment and project transparency.
- Maintain proactive communication and regular dialogue with team members to ensure effective coordination of project activities.
Skills & Qualifications
Education and Minimum Requirement
- Master’s degree in Statistics, Biostatistics, or related discipline (e.g., Chemical or Industrial Engineering) with a minimum of 2 years of relevant experience, or
- Ph.D. in Statistics, Biostatistics, or related discipline with a minimum of 1 year of relevant work experience.
Required Skills and Experience
- Proven experience applying Design of Experiments (DOE) to real-world process development challenges.
- Solid knowledge of statistical analysis methodologies and experimental design principles.
- Strong, hands-on experience with JMP; working knowledge of other statistical and data processing tools such as Minitab.
- Demonstrated ability to learn quickly, remain proactive, and maintain focus on details and execution.
- Strong oral and written communication skills, with the ability to function effectively in a collaborative, cross-functional environment.
Desired Skills and Experience
- Experience in the biopharmaceutical, medical device, or pharmaceutical industry through full-time work, internships, or co-op programs (minimum 2 years preferred).
- Experience developing or applying statistical tools in process development or characterization contexts.
- Ability to manage multiple concurrent projects and communicate effectively with technical and non-technical stakeholders.
- Comfortable working independently in a remote or hybrid environment, maintaining productivity and effective communication.
Education
- M.S. in Statistics, Biostatistics, Chemical/Industrial Engineering, or related field with 2+ years of experience, or
- Ph.D. in a related discipline with 1+ year of relevant experience.
