Immunoassay Lab Technician - Automation & Data Integrity

Novo Nordisk; Denmark; On-site; DKK 438,000 - 643,000; Full time

Benefits offered by this job

Pension scheme

Free choice account

Holiday allowance

Job summary

Novo Nordisk in Måløv, Denmark, is seeking a Laboratory Technician for Research Bioanalysis. You will develop and run immunoassays to measure proteins and peptides in biological samples, supporting early-stage research on diabetes, obesity and cardiovascular diseases.

The role focuses on data quality and robust methods. You will work in a high-achievement, multidisciplinary, international team and have opportunities to build automation, digital tools and AI into daily analysis, while maintaining

Qualifications

• Education in laboratory technology or equivalent.
• Proficient in general biological research laboratory techniques and workflows.
• Experience analysing biological samples.
• Interest in data quality and IT tools.
• Willingness to learn and adapt with instruments.
• Team-oriented attitude and proactive mindset.
• Hands-on immunoassay experience (ELISA, MSD, AlphaLISA).

Responsibilities

• Develop and implement new immunoassays for proteins and peptides your collaborators need to measure.
• Analyse samples from in vivo and in vitro studies using immunoassays.
• Plan and carry out sample analyses using robotics and IT systems to handle samples efficiently and track data.
• Analyse data and safeguard data integrity for reliable results.
• Proactively improve laboratory workflows and integrate new digital tools and AI.
• Help strengthen the culture of the department.

Skills

Biological lab techniques

Data analysis

IT literacy

Team-player

Proactive attitude

Education

Laboratory technology education

Tools

ELISA

MSD

AlphaLISA

Job description

Novo Nordisk in Måløv, Denmark, is seeking a Laboratory Technician for Research Bioanalysis. You will develop and run immunoassays to measure proteins and peptides in biological samples, supporting early-stage research on diabetes, obesity and cardiovascular diseases.

The role focuses on data quality and robust methods. You will work in a high-achievement, multidisciplinary, international team and have opportunities to build automation, digital tools and AI into daily analysis, while maintaining