Biotech Data Engineer: Build Scalable Lab Data Platform

Cph Ai Hub

København

Hybrid

DKK 600,000 - 850,000

Full time

5 days ago
Be an early applicant
Application generator

Turn this role into an interview — a resume and cover letter built around what this employer wants.

Get past ATS filters

Job summary

Orbis Medicines in Copenhagen is growing its data platform and seeks a Scientific Data Engineer to build systems that capture data accurately for biology and chemistry teams. You will work with researchers to design pipelines, implement ETL processes, and ensure data integrity following FAIR principles.

The role is onsite in Copenhagen, collaborating with software engineers and data scientists to enable AI/ML workflows and scalable data infrastructure for drug discovery.

Qualifications

  • A degree in chemistry, biology, bioinformatics or a related field.
  • 3+ years of experience in a scientific environment with drug discovery data.
  • Strong Python and data libraries knowledge.
  • Experience with relational databases and SQL.
  • Ability to design data structures for scientific data and communicate with scientists.

Responsibilities

  • Develop and manage the Orbis data platform, including migrations and new systems.
  • Gather requirements from biology, chemistry and data science teams and prototype solutions.
  • Write and maintain ETL pipelines to organize data.
  • Safeguard data integrity and quality per FAIR principles.
  • Collaborate with engineers and data scientists to enable AI/ML operations.
  • Serve as the go-to contact for lab scientists using data products.

Skills

Python
SQL
ETL pipelines
Data modeling
Collaborative work

Education

Degree in chemistry, biology, bioinformatics

Tools

Docker
Cloud (AWS/GCP)
ELN/LIMS
Git CI/CD

Job description

Orbis Medicines in Copenhagen is growing its data platform and seeks a Scientific Data Engineer to build systems that capture data accurately for biology and chemistry teams. You will work with researchers to design pipelines, implement ETL processes, and ensure data integrity following FAIR principles.

The role is onsite in Copenhagen, collaborating with software engineers and data scientists to enable AI/ML workflows and scalable data infrastructure for drug discovery.

Get your free, confidential resume review.

or drag and drop your file here.

Similar jobs

Similar jobs worth comparing

Biotech Data Engineer: Build Scalable Lab Data Platform
Biotech Data Engineer: Build Scalable Lab Data Platform

Orbis Medicines ApS • København

On-site
DKK 600,000 - 900,000
Biotech Data Platform Engineer: Pipelines & FAIR Data
Biotech Data Platform Engineer: Pipelines & FAIR Data

Cph Ai Hub • København

Hybrid
DKK 700,000 - 900,000
Scientific Data Engineer
Scientific Data Engineer

Orbis Medicines ApS • København

On-site
DKK 600,000 - 900,000
Scientific Data Engineer →
Scientific Data Engineer →

Cph Ai Hub • København

Hybrid
DKK 700,000 - 900,000
Scientific Data Engineer - to build systems and structures →
Scientific Data Engineer - to build systems and structures →

Cph Ai Hub • København

Hybrid
DKK 600,000 - 850,000
Data Engineer - DInA - DK/ES
Data Engineer - DInA - DK/ES

BASE life science • København

On-site
DKK 550,000 - 750,000
Health & wellbeing
Flexible working
Learning & development
+2
Data Engineer - DInA - DK/ES →
Data Engineer - DInA - DK/ES →

Cph Ai Hub • København

Hybrid
DKK 550,000 - 900,000
Flexible working
Learning opportunities
Wellbeing support
Senior Data Analytics Engineer: Turn Data into Decisions
Senior Data Analytics Engineer: Turn Data into Decisions

ASCENDIS PHARMA A/S • Gentofte Kommune

On-site
DKK 700,000 - 900,000
Life Sciences Data Engineer — Analytics & Pipelines
Life Sciences Data Engineer — Analytics & Pipelines

BASE life science • København

On-site
DKK 550,000 - 750,000
Health & wellbeing
Flexible working
Learning & development
+2
Senior Data Analytics Engineer—Business Insights Lead
Senior Data Analytics Engineer—Business Insights Lead

Ascendis Pharma A/S • Denmark

Remote
DKK 900,000 - 1,200,000