Data Scientist (m/w/d)

Data Engineer - Lab Data Platform (m/f/d)

Working at Alden Scientific Immune

Alden Scientific Immune runs the leading ImmunoINSIGHTS™ autoantibody biomarker discovery and immunological insights platform. In the last year our datagenerating lab scaled production 5x, and we are scaling 10x-100x over the next 24 months to meet demand.
As the measurement arm of Alden Scientific, we generate the high-quality immune data that feeds directly into Alden Scientific’s computational biology, AI modeling and clinical research platform.
Alden Scientific is a global physiology AI company transforming health and longevity by focusing on individuals, not averages. By combining multi-omic data with AI, it delivers predictive, personalized health management - making proactive health the new normal.

This is a unique opportunity to join a fast-growing and well-funded German biotechnology leader. We need help turning the output of our laboratory into a reliable, real-time data supply. You are a data engineer with strong database skills who can take instrument and robot output and move it - automatically, completely and traceably - into our data warehouse and into Alden’s AI systems that are serving customers today. This role is based at our laboratory in Dortmund, Germany. Time on site is part of the job: understanding the instruments, the assays and the lab staff running them.

What You’ll Do - Data Pipelines & Integration

Build and maintain the pipelines that move instrument output into our data warehouse automatically, completely and traceably.
Define and maintain the interface contract between the instrument layer and the data platform.
Develop custom ingestion for devices with proprietary or loosely structured vendor formats.

What You’ll Do - Data Quality

Embed quality control into the pipelines so defects are detected at the bench, not during analysis.
Build QC tools that lab staff can use in their daily work, without a developer in the loop.
Make provenance complete: every result traceable back to sample, run, instrument and protocol version.

What You’ll Do - Serving Science

Partner with lab scientists, data scientists and our US-based AI teams to make the data usable for the questions they actually ask.
Work with our software development team on architecture, interfaces and shared tooling, from specification to deployment.

Extensive experience building data pipeline infrastructure and integrating heterogeneous data sources, ideally in a laboratory or life-science environment.
In-depth knowledge of database design and usage.
In-depth understanding of quality control for raw instrument data and of data provenance across the sample lifecycle, with experience turning QC rules into tools lab staff can use.
Strong programming skills (e.g., Python, R, SQL) and the willingness to pick up new languages, vendor APIs and data formats as needed.
Readiness to work from our Dortmund site - fluent English and German.

Preferred Qualifications

Experience with multi-omic or other high-dimensional biological data.
Familiarity with laboratory data and connectivity standards (e.g., SiLA 2, AnIML, Allotrope).
Interest in applying AI technology in production data systems, for example automated QC, anomaly detection or process optimization.
Experience leading technical projects and mentoring colleagues.
Strong interest in immunology and in building research tools for scientists.

Impact: You’ll build the data supply that our analyses, contract research and the Alden Member platform all depend on.

Growth: Design the data platform of an operation scaling 10x-100x over the next two years.

Innovation: Bring measurement data, lab robotics and AI together into one real-time production system.

Collaboration: Work hand in hand with lab scientists, data scientists and software developers in Germany and the US.

Benefits: Competitive salary and professional development support.