R&D Automation & HPC Data Scientist

Octapharma; Lachen; On-site; CHF 64,000 - 101,000; Full time

Benefits offered by this job

30 days vacation

Company restaurant subsidies

Free drinks (coffee, tea, water)

Job ticket or parking space

International team in corporate env.

Collegial environment with growth opps

Job summary

Octapharma Biopharmaceuticals GmbH is seeking an Expert in R&D Automation and Data Management to advance computational biology, HPC infrastructure, and data-driven research in Heidelberg. You will work with interdisciplinary teams to develop modeling, simulations, and ML-driven insights while maintaining secure HPC operations.

The role emphasizes scientific computing, workflow automation, and integration of data management with lab automation. Fluency in English is required; German is a plus.

Qualifications

• PhD in Life Sciences with focus on computational biology, bioinformatics, biophysics, or related field; postdoc a plus or MSc with extensive experience.
• Hands-on experience with molecular modelling and molecular dynamics of biological systems; MOE experience highly desirable.
• Strong Python programming for scientific computing and data analysis.

Responsibilities

• Develop molecular modelling and MD simulations to support research and developability studies.
• Administer, maintain and optimize Linux-based HPC infrastructure with SLURM.
• Create robust, reproducible workflows and scripts for data processing and analysis.

Skills

Python programming

Linux HPC administration

Molecular modelling

Molecular dynamics

MOE

SLURM workload management

Data science & machine learning

CI/CD

Infrastructure as Code

English communication

German language

Education

PhD in Life Sciences

MSc with relevant experience

Tools

MOE

Linux clusters

ELN/LIMS experience

Job description

Octapharma Biopharmaceuticals GmbH is seeking an Expert in R&D Automation and Data Management to advance computational biology, HPC infrastructure, and data-driven research in Heidelberg. You will work with interdisciplinary teams to develop modeling, simulations, and ML-driven insights while maintaining secure HPC operations.

The role emphasizes scientific computing, workflow automation, and integration of data management with lab automation. Fluency in English is required; German is a plus.