Expert R&D Automation and Data Management

Expert R&D Automation and Data Management (m/f/d)

Job ID: 62259

Location: Heidelberg, DE

Job Level: Entry Level

Job Category: Research and Development

Become part of a vital chain and contribute to our common goal of making people’s lives better. Octapharma is one of the largest human protein manufacturers in the world, developing and producing medicines sourced from human plasma and human cell lines. We are a privately‑owned company, where the warmth of family meets the scale of a global organisation.

Octapharma Biopharmaceuticals GmbH with more than 200 employees is a subsidiary of the Octapharma group founded in 1997 and successfully expanding. Our core business is the development of recombinant proteins produced in human cell lines for therapeutic use in humans. We strive for effective treatments with an improved tolerability and convenience for our patients.

Join us in shaping our vision to provide new health solutions advancing human life.

We are looking for an Expert R&D Automation and Data Management (m/f/d) to join the Automation and Data Management group within the Research and Development Department at Octapharma Biopharmaceuticals.

The Automation and Data Management group is responsible for the development, evaluation and long‑term maintenance of automation‑ and data‑driven solutions across R&D. The group supports scientific projects by combining laboratory automation, data management, bioinformatics and scientific computing, and is thereby involved in the work of multiple research groups and virtually all projects within the department.

The successful candidate will take on a challenging and versatile role with a strong focus on data management, scientific programming and bioinformatics. In addition to the development and application of data‑driven analysis workflows, the position also includes work on the infrastructure side of laboratory automation systems, including the integration of automated data generation with downstream data processing and computing environments. The role requires close collaboration with research teams to translate complex biological research questions into robust, reproducible and scalable computational and automation‑supported workflows.

Your main tasks and responsibilities

• Design, development and maintenance of custom data management and scientific analysis solutions, primarily based on script‑ and workflow‑driven approaches
• Development, extension and long‑term maintenance of Python‑based scripts and codebases for internal use, including testing, documentation and deployment across laboratory and analysis environments
• Act as an interface between data generation, data processing and scientific interpretation, ensuring reproducibility and traceability of results
• Application, integration and adaptation of bioinformatic and biostatistical tools to support diverse R&D projects
• Develop and use data analysis workflows on a local, state‑of‑the‑art high‑performance computing (HPC) infrastructure as well as cloud‑based analysis environments; select suitable execution environments based on scientific and technical requirements
• Contribute to the further development and maintenance of automation‑related infrastructure, including the integration of laboratory automation systems with data management and computing workflows
• Provide scientific and technical support of project teams through requirements analysis, close coordination and solution‑oriented consulting
• Contribute to the further development of internal workflows and good practices in data management and scientific programming

Your expertise and ideal skill set

• PhD in Life Sciences or a related field, providing a strong scientific foundation for data‑driven research; postdoctoral experience is considered a plus
• Practical experience in scientific programming with Python, applied to biological or biotechnological research questions
• Background in bioinformatics and/or biostatistics, with hands‑on experience in applying and adapting relevant tools in a scientific context
• Good understanding of data‑driven scientific workflows and reproducible data analysis
• Experience working with Linux‑based environments and local HPC or cluster systems; experience with cloud‑based analysis environments (e.g. Databricks) is considered a plus
• Independent and structured working style combined with excellent communication skills in an interdisciplinary and service‑oriented environment
• Interest in working in a scientifically oriented support role, contributing expertise across multiple R&D projects
• Fluent English skills; good German knowledge is considered a plus

Thrive with us

• A permanent position in full‑time (40 hrs./week) in a dynamically growing company
• A modern, “state‑of‑the‑art” working environment
• Regular opportunities for further training
• 30 days vacation
• Own company restaurant with subsidies
• Free drinks such as coffee, tea and water
• Job ticket or parking space for bicycle or car
• An international team in an international corporate environment
• A collegial environment with many opportunities for activities

It’s in our blood

We live diversity and stand for equal opportunities as an employer! We therefore look forward to receiving your application – regardless of age, gender, origin, sexual orientation, and religion.

Do you have any questions? Then get in touch with your contact person.

Mrs. Dorothee Schaupp

Octapharma Biopharmaceuticals GmbH

Octapharma is one of the largest human protein manufacturers in the world, developing and producing human proteins from human plasma and human cell lines. We employ more than 11,000 people worldwide to support the treatment of patients in 120 countries with products across three therapeutic areas: Immunotherapy, Haematology and Critical Care. With seven R&D sites and five state‑of‑the‑art manufacturing facilities in Austria, France, Germany, and Sweden, Octapharma also operates over 195 plasma donation centres across Europe and the US. With four decades of experience, we are committed to advancing patient care worldwide.