Process Development Scientist
BioPharma Consulting JAD Group Ver todas las vacantes
- Juncos, PR
- Autónomo
- Tiempo completo
- 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
- 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)
- 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
- 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)