Process Development Scientist

BioPharma Consulting JAD Group

About The Position

The Scientist is responsible for conceiving, designing, and executing scientific experiments that support project and organizational goals. Under general supervision, this role develops experimental strategies, analyzes complex data, and contributes to process improvements and scientific innovation. The Scientist ensures compliance with regulatory standards while delivering high-quality, reliable results.

Requirements

PhD (Doctorate) in Life Sciences, Engineering, or related field, OR Master’s degree + 2 years of relevant scientific experience, OR Bachelor’s degree + 4 years of relevant scientific experience
Relevant fields include: Life Sciences, Statistics, Mathematics, Systems Engineering, Industrial Engineering, Computer Science, or related disciplines
Advanced scientific analysis and troubleshooting
Strong laboratory and experimental design skills
Analytical problem-solving and critical thinking
Project management and multitasking ability
Effective verbal and written communication (technical writing required)
Negotiation and conflict resolution skills
Ability to work cross-functionally and collaboratively
Adaptability and change management
Strong organizational skills and attention to detail
Computer literacy (Microsoft Word, Excel, PowerPoint)
Bilingual proficiency (English/Spanish)

Nice To Haves

Experience in data analysis roles (e.g., Statistician, Data Scientist, Computational Biologist)
Strong experience working with large, complex datasets
Proficiency with statistical software (e.g., R, MATLAB, SAS, JMP, Minitab)
Experience with database/query languages (e.g., SQL)
Familiarity with data systems such as OSIsoft PI, Spotfire, or OVDAS
Experience in regulated environments (cGMP)

Responsibilities

Design, execute, and evaluate experimental strategies with general guidance
Develop robust processes to generate accurate and reliable data
Interpret experimental results and assess their impact on project objectives
Introduce advanced scientific methods and innovative approaches when applicable
Develop and implement novel protocols to address technical challenges
Ensure all studies comply with approved protocols, cGMP, and regulatory guidelines
Perform advanced data analysis and provide clear, actionable insights
Solve complex, non-routine analytical problems using appropriate methodologies
Work with large and complex datasets, conducting end-to-end analysis (data gathering, processing, analysis, and reporting)
Apply statistical models (e.g., linear, multivariate, stochastic) to support decision-making
Select appropriate statistical tools and techniques based on business or scientific needs
Translate business questions into analytical frameworks and data-driven solutions
Collaborate cross-functionally with internal departments and external partners
Represent the department on project teams under senior guidance
Initiate and support collaborations across departments or organizations
Provide guidance to peers on experimental design and data interpretation
Contribute to departmental initiatives such as safety, recruiting, and committees
Develop mentoring and supervisory skills
Independently author scientific reports, technical documents, and regulatory submissions
Prepare presentations and communicate findings to stakeholders
Maintain current knowledge of scientific advancements, literature, and emerging technologies
Communicate relevant scientific insights to project teams and leadership