Scientist Process Analytics, Product & Technology Development

Job content

Scientist Process Analytics, Product & Technology Development (PTD)

Duration: initially end 2022

Location: Solothurn, CH

Job Description

The candidate will partner with scientists and engineers in PTD and Global Manufacturing Technical Operations (GMTO) stakeholders to improve existing and to evaluate emerging process analytical technologies (PAT) as part of the companies’ Advanced Process Control (APC) program. The role is based at the state of the art biopharmaceutical manufacturing facility at Solothurn, Switzerland, but the candidate will be a member of the global Digital Development and Analytics group (DDA). The ideal candidate has a background in applied spectroscopy in combination with data analytics and perceives this role as an opportunity to apply theoretical knowledge to improve an existing industrial implementation in a highly interdisciplinary setting, directly adding value to the companies’ patients.

Responsibilities

• Work with cross-functional teams to provide deeper understanding of properties/process/product performance relationships of PAT implementations. This will involve analysis of spectroscopic data, as well as understanding of hardware performance and influencing factors.
• Apply multivariate data/statistical analysis for method development, investigation/troubleshooting, and product quality control strategy
• Evaluate new process analytical hard- and software.
• Support development of new in-line, on-line, and at-line analytical methods
• Plan, organize and execute experimental work in lab and plant to support these goals.
• Document knowledge and develops best practice documentation as related to project results
• Author and review project documentation and novel insights.
• Manage relationships with technology vendors and other internal and external partners
  

Qualifications

• Profound knowledge of spectroscopic techniques and relevant applications in biochemistry, chemistry, material science, physics or related is a must.
• Experience in data analytics, mathematical modelling, machine learning, artificial intelligence, continuous improvement. Programming experience (Python) and experience with statistical software (R, SIMCA, Statistica) is a plus.
• Experience in process analytics, PAT, analytical development, or device development, ideally in a GxP setting, will help to get started.
• Good communication skills and the ability to solve problems in a self-guided manner are key, as this position will require to address non-routine challenges effectively across disciplines involving chemists, biotechnologists, molecular biologists, chemical engineers, mechanical engineers and IT specialists.
  

Education

• PhD in Chemistry, Physics, Engineering, Biotechnology, Material Sciences, or related field.
• S. or M.S. in above disciplines with a minimum of 3 years relevant experience.
  

Sthree Switzerland is acting as an Employment Business in relation to this vacancy.