Application Scientist - Pharma Analytics Purification Downstream Processing

We are seeking an Application Scientist to join our team in Pharma Analytics / Purification (Downstream Processing). The successful candidate will have a strong background in Python, Machine Learning, and AWS, with a passion for applying technical expertise to drive business growth. As an Application Scientist, you will be responsible for developing and implementing innovative solutions to complex problems in downstream processing.

Key Responsibilities

• Develop and implement machine learning models to improve downstream processing efficiency and yield.
• Collaborate with cross-functional teams to design and optimize downstream processing workflows.
• Design and develop Python scripts to automate data analysis and visualization.
• Work with AWS to develop and deploy scalable and secure cloud-based solutions.
• Stay up-to-date with industry trends and advancements in downstream processing and machine learning.

Requirements

• Ph.D. in a relevant field (e.g. Chemical Engineering, Bioengineering, Computer Science).
• Minimum 3 years of experience in downstream processing and/or machine learning.
• Strong background in Python programming and experience with machine learning libraries (e.g. scikit-learn, TensorFlow).
• Experience with AWS cloud services (e.g. S3, EC2, Lambda).
• Excellent communication and collaboration skills.