Statistician - II

We are seeking a proactive and detail-oriented Statistician / Data Scientist to join a fast-paced, dynamic team supporting critical-path process characterization projects. In this hands-on, project-facing role, you will collaborate directly with process scientists and engineers to design real-life experiments (DOE), conduct statistical analysis, and generate reported outputs using in-house JMP tools. The ideal candidate possesses deep expertise in statistical methodologies, strong hands-on proficiency in JMP, and a background in biopharma, pharmaceuticals, or medical devices. Whether working remotely or in a hybrid capacity, you must be a motivated communicator who thrives in team-oriented discussions, bridging data analysis with practical process development goals.

Responsibilities

• Develop statistical study designs (DOE), perform statistical analyses, and generate reported output using in-house JMP tools for high-priority projects.
• Participate actively in process characterization teams to identify project requirements, design study experiments, and analyze results.
• Engage in direct, ongoing dialogues with Process Scientists and Engineers to address operational constraints, issues, and execution strategies in study design.
• Collaborate with engineering and scientific teams to complete comprehensive study reports as needed.
• Apply Design of Experiments (DOE) methodologies to solve real-world process development challenges.
• Utilize JMP and other statistical/data processing software to deliver clear, actionable data insights.
• Maintain clear and regular communication across Microsoft Teams and email to keep cross-functional project stakeholders aligned.
• Drive execution with a high focus on detail, proactive problem-solving, and continuous learning.

Education

• Master’s Degree: Master’s degree in Statistics, Biostatistics, Chemical Engineering, Industrial Engineering, or a related discipline (with a minimum of 2 years of relevant experience); OR
• Ph.D. Degree: Ph.D. or equivalent degree in a related scientific/engineering discipline (with a minimum of 1 year of relevant experience).

Experience

Required Skills & Experience:

• Proven experience applying Design of Experiments (DOE) to real-life process development problems.
• Solid knowledge of statistical analysis methodologies and experimental design principles.
• Strong hands-on experience using JMP, with a working knowledge of other statistical software (e.g., Minitab).
• Background in Chemical Engineering, Industrial Engineering, Statistics, or Biostatistics.
• Excellent oral and written communication skills with a demonstrated ability to function effectively in a collaborative team environment.
• Self-motivated, proactive, detail-oriented, and able to work independently in a remote or hybrid environment.

Preferred Skills & Experience:

• At least 2 years of industry experience (or relevant co-op/internship experience) in Bio-Pharma, Pharmaceuticals, or Medical Devices.
• Experience working directly with process scientists and multidisciplinary project teams.

Additional Information

• Openings: 1 Position Available
• Work Location: Remote or Hybrid (Flexible hybrid schedule on a need-only basis; candidates must be comfortable using Microsoft Teams and email for regular team dialogue).
• Role Focus: Hands-on, project-facing opportunity focused on process development and characterization.