Job Description

Data Scientist (m/w/d): Statistics/ Frameworks/ SIMCA/ R / English/ German

Background:

We are looking for a dedicated junior Process Data Scientist to join our Drug Substance Manufacturing unit in Basel. 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.

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 Have:

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 Have:

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.

Reference nr.

: 924672

Role

: Data Scientist (m/w/d)

Industry

: Pharma

Workplace

: Basel

Workload

: 80 - 100%

Earliest start date

: ASAP

Latest start date

: 01.04.2026

Duration

: 2Years (Possible Extension)

Deadline

: 13.01.2026

Job Type: 80-100%

Work Location: On the road