For one of our clients, a global pioneer in pharmaceuticals, we are currently looking for a dedicated junior Process Data Scientist.

In this role, you will focus on the core technical aspects of Multivariate Data Analysis: developing, validating, and maintaining robust models that contribute to our quality assurance.

The Perfect Candidate is someone with a solid background in Multivariate Data Analysis (MVDA) and a high-level understanding of biopharma processes. The candidate is in their early career.

General Information:

• Start date: ASAP
• Latest start date: 01.04.2026
• Planned duration: 2 years
• Extension: possible
• Contract: temporary contract via Randstad
• Workplace: Basel
• Workload: 80-100%
• Home Office: up to 50%
• Working Hours: Standard

Tasks & Responsibilities:

Model Development:

• Design and build MVDA models for Drug Substance manufacturing processes.
• Responsible for the end-to-end technical creation of the model structure.

Data Pre-processing & Curation:

• Apply rigorous data modeling techniques.
• Ensuring that raw process data is correctly pre-processed to prevent false positive/false negative results.

Validation & Maintenance:

• Execute formal validation protocols to demonstrate model suitability.
• Responsible for maintaining the lifecycle of these models, ensuring they remain accurate over time as process baselines evolve.

Must Haves:

• Ideally a PhD in Chemical Engineering, Chemometrics, Statistics, or Biotechnology. Alternatively a Bachelor or Master’s degree combined with relevant work experience.
• Min. 2 years experience in statistics.
• First professional/industry experiences.
• Min. B2/C1 level in English and German.

Nice to Haves:

• Familiarity with Open-DCP or similar modeling frameworks (e.g., SIMCA).
• Knowledge of the R programming language for statistical computing.
• Experience with Aveva PI System Explorer (OSIsoft) for data retrieval.