Process Development Scientist 35239

To conceive, design, implement and execute specific scientific experiments, which contribute to the successful completion of goals and/or projects under general guidance of supervisor.

• →Conceives and designs, executes or evaluates, and interprets experimental strategies.
• →Provides input to new processes to generate robust and reliable data.
• →Ensures that studies are conducted in compliance with the respective protocol and applicable guidelines and regulations.
• →Designs, monitors or conducts experimental strategies with general guidance from supervisor.
• →Provides data analysis and interpretation and assesses impact of the data on the project.
• →Keeps current in field of scientific expertise and areas relevant to their function.
• →Monitors field of expertise, including literature and technology development, and communicates relevant observations.
• →Represent the department on project teams under supervision of a senior scientific staff member.
• →Initiate productive collaborations within and outside of the department or company.
• →Advises or assists others in experimental design and/or interpretation/diagnosis of data and implementing innovative remedies.

• Extensive experience in process development or manufacturing support within biotech, biopharma, or related industries.
• Strong ability to analyze and interpret complex process and experimental data to drive process understanding and optimization.
• Experience supporting process scale-up, technology transfer, and/or commercial manufacturing.
• Ability to integrate data from multiple sources (process, analytical, manufacturing) to develop actionable insights and recommendations.
• Strong track record of cross-functional collaboration (e.g., Manufacturing, Quality, Analytical, Regulatory).
• Experience working in a GMP-regulated environment, with deep understanding of data integrity and compliance requirements.
• Proficiency with scientific data analysis tools (e.g., JMP, Minitab, Excel or similar).
• Excellent technical communication skills, including writing reports, presenting data, and influencing stakeholders.

• Doctorate or master + 2 years of Scientific experience or Bachelors + 4 years of Scientific experience.
• Life Sciences or Engineering (statistics, mathematics, systems engineering, industrial engineering, computer science, or related field experience)