Master's degree in statistics, biostatistics, or related field; PhD or equivalent degree preferred.
Minimum of 2 years relevant experience for Master's holders; 1 year for PhD holders.
Practical experience in bio-pharma, medical device, or pharmaceutical sectors through co-ops or internships.
Hands-on experience with Design of Experiments (DOE) in process development.
Strong proficiency in JMP and familiarity with other statistical software like Minitab.
Responsibilities
Develop study designs using Design of Experiments (DOE) and perform statistical analyses.
Participate in process characterization teams to design effective study experiments.
Engage in discussions with process scientists and engineers regarding study design execution.
Collaborate with team members to complete comprehensive study reports.
Maintain proactive communication with multidisciplinary team members in a project-facing environment.
Demonstrate strong organizational skills with a focus on detail and execution.
Apply knowledge of statistical methodologies to real-life process development challenges.
Benefits
Flexible hybrid work schedule with remote options.
Opportunity to work in a collaborative, fast-paced team environment.
Engagement in critical path process development projects.
Access to in-house JMP tools for statistical analysis.
Involvement in cross-functional team communication within the bio-pharma and medical device industries.
Full Job Description
An exciting opportunity is available for a data-driven professional to join a collaborative, fast-paced team focusing on critical path process development projects. In this hands-on, project-facing role, you will work closely with process scientists and engineers to design studies, apply statistical analysis, and leverage in-house JMP tools to solve real-world problems. Whether working remotely or on a flexible hybrid schedule, you will play a vital role in process characterization, study reporting, and cross-functional team communication within the bio-pharma, medical device, or pharmaceutical industries.
Responsibilities
Develop study designs using Design of Experiments (DOE), perform statistical analyses, and generate reported outputs utilizing in-house JMP tools.
Participate in process characterization teams to understand project requirements and design effective study experiments.
Engage in joint conversations with process scientists and engineers to discuss issues, constraints, and execution details for study design.
Collaborate directly with process scientists and engineers to complete comprehensive study reports as needed.
Maintain a regular, proactive dialogue with multidisciplinary team members in a dynamic, project-facing environment.
Demonstrate strong organizational skills with a rigorous focus on details and execution.
Function effectively in a team environment while communicating seamlessly via Microsoft Teams and email.
Apply robust knowledge of statistical analysis methodologies and experimental design to real-life process development challenges.
Education
Master's degree in statistics, biostatistics, or a related discipline (such as chemical or industrial engineering), OR a PhD or equivalent degree.
Experience
Minimum of 2 years of relevant work experience for Master's degree holders, or a minimum of 1 year of relevant work experience for PhD holders.
Practical industry experience spanning a minimum of 2 years through co-ops or internships within the bio-pharma, medical device, or pharmaceutical sectors.
Proven, hands-on experience applying Design of Experiments (DOE) to process development.
Strong proficiency with JMP, complemented by a working knowledge of other statistical and data processing software such as Minitab.
Additional Information
Open to 1 available position.
Fully open to hybrid and remote candidates who are comfortable managing project-facing communications digitally.
Hybrid schedules are flexible and coordinated on an as-needed basis.
