CTC is a specialized search and recruitment partner for the Life Sciences industry, serving clients and candidates since 1997. We enable careers by connecting talented professionals with meaningful opportunities, and we support our clients in engaging, retaining, and developing the right talent when needed.
Our client is a pioneer in Drug Discovery and Development and one of the frontrunners in Personalised Healthcare. As the world's largest R&D spender in the pharmaceutical and diagnostics domain, they work in a vast number of drug discovery & therapeutic areas and are highly recognized internationally. A leader in the field of both in vitro diagnostics and manufacturing and selling of several innovative drugs.
For their office in Basel , we are seeking a dedicated :
Data Scientist
on an unlimited contract.
In this role, you will focus on the core technical aspects of Multivariate Data Analysis (MVDA), specifically developing, validating, and maintaining robust models that contribute to quality assurance within the biopharmaceutical manufacturing process.
Main responsibilities :
- Design and build MVDA models for Drug Substance manufacturing processes.
- Take full ownership of the technical creation of model structures from end to end.
- Apply advanced data modeling techniques to ensure accurate results.
- Ensure that raw process data is pre-processed correctly to prevent false positives or negatives.
- Execute formal validation protocols to demonstrate model suitability and accuracy.
- Manage the lifecycle of models, ensuring they remain accurate as process baselines evolve over time.
Qualifications and Experience :
Relevant Swiss working / residency permit or Swiss / EU-Citizenship required;Ideally a PhD in Chemical Engineering, Chemometrics, Statistics, Biotechnology, or a related field. Alternatively, a Bachelor’s or Master’s degree with relevant work experience.Strong background in Multivariate Data Analysis (MVDA) and a solid understanding of biopharma processes.Minimum of 2 years of experience in statistics, preferably with hands-on experience in data analysis for biopharma.Proficiency in both English (B2 / C1) and German (B2 / C1) for effective communication in a bilingual work environment.Familiarity with Open-DCP or similar modeling frameworks (e.g., SIMCA) is a plus.Experience with the R programming language for statistical analysis and modeling is a plus.Hands-on experience with Aveva PI System Explorer (OSIsoft) for data retrieval is a plus.