Digital Lab Consultancy

Bridging the Gap Between
Lab, Automation & Code.

Building the infrastructure for modern, data-driven Digital Laboratories — integrating liquid handlers, engineering data pipelines, and architecting AI-ready workflows for biotech and pharma.

Full-stack biotech specialist.

I'm Joen Haahr Jensen, founder of Telomerase ApS. My career has been defined by one thing: operating at the intersection of the wet-lab, industrial automation, and software engineering — what I call the Digital Lab.

Most specialists go deep in one direction. I've spent years building expertise across all three — which means I can architect end-to-end solutions that genuinely work, from the pipette to the production database.

I am comfortable tackling complex cross-domain challenges — whether that means implementing a Hamilton liquid handler, engineering a Python data pipeline, or driving an IT project to completion for a global pharma client.

2025 –
Founder & Consultant, Telomerase ApS Primary client: Novo Nordisk
2024–25
Consultant / Software Application Specialist, GTS Nordic
2022–24
Field Application Specialist, Hamilton Nordics Lab automation across pharma & healthcare
2019–22
M.Sc. Biotechnological Engineering, DTU Thesis at Lawrence Berkeley National Laboratory

Laboratory Work

  • Mol. Biology
  • Assay Development
  • Cell Engineering

Lab & Automation

  • Automated Assays
  • Method Development

Automation

  • Hamilton / Biomek
  • Hardware Integration
  • FAT / SAT

Automation & Software

  • Robot Scripting
  • Instrument APIs

Software

  • Python · R · APIs
  • LIMS Integration
  • Data Pipelines

Lab & Software

  • Assay Analytics
  • Results Reporting

Digital Labs

Digital
Labs

Three pillars.
One specialist.

Lab Automation & Hardware Integration

End-to-end lifecycle management for automated liquid handlers. Full integration of peripheral hardware and compliance documentation from URS through FAT/SAT sign-off.

Hamilton Biomek QIAGEN PCR Integration Plate Transport URS / FAT / SAT

Data Engineering & LIMS Integration

Custom data curation and validation pipelines. Python-based service layers connecting OData APIs, Oracle databases, and LIMS platforms — turning raw instrument output into governed data.

Python OData API Oracle DB LIMS Containerization Data Pipelines

AI-Ready Datasets & Analytics

Processing and structuring large-scale experimental datasets optimized for AI and LLM training. Automated dashboards with curve fitting, statistical analysis, and real-time visualization.

AI Training Data Spotfire Statistical Analysis Curve Fitting LLM Tools

Ready to digitize
your laboratory workflows?

Whether you're planning a new automation rollout, struggling with data silos, or building AI-ready datasets — let's have a 30-minute call to map out what's possible.

Based in Copenhagen  ·  Available for remote and on-site engagements