Bioprocess Data Engineer

Kurz zusammengefasst

The Bioprocess Data Engineer role at microharvest in Hamburg focuses on building and maintaining automated pipelines that gather, clean, and merge real‑time sensor and laboratory data from pilot‑scale bioreactors. You will enable process analytics and model‑based control by working closely with scientists, engineers, and AI specialists in a fast‑growing cell‑therapy startup. Day‑to‑day tasks include developing code in Python or R, managing SQL and NoSQL databases, deploying solutions on AWS or Azure, and integrating data from LIMS and OPC‑UA sources. You will also use version‑controlled repositories and apply statistical analysis grounded in bioprocess engineering principles. What the role asks for: - 2 years data engineering or bio‑informatics experience in biotech/pharma - Proficiency in Python or R - Experience with SQL and NoSQL databases - Working knowledge of AWS or Azure cloud platforms - Understanding of bioprocess engineering concepts - Ability to perform statistical data analysis - Familiarity with LIMS - Experience with OPC‑UA integration - Use of version‑controlled code repositories