Research Informatics Data Engineer (Copenhagen, Danish Capital Region, DK)

Copenhagen, Denmark Type not listed
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H. Lundbeck is the source of truth for this posting and owns the application process. We surface normalized context and market comparison you won't find on the original listing.

About this opportunity

Research Informatics Data Engineer

Build the digital foundation for scientific discovery

Every day, researchers rely on digital technologies to design experiments, generate data, and make scientific decisions.

We are looking for a Research Informatics Engineer who enjoys combining scientific understanding with technical expertise to build practical digital solutions that help researchers make better use of their data.

This is an engineering-focused Research Informatics role where you will help implement, configure and connect commercial scientific platforms, and build the data flows and integrations that enable modern research.

Your new role

At Lundbeck, Research Informatics works at the intersection of science, data and technology. We collaborate closely with researchers, colleagues across Lundbeck Global IT, and technology partners to implement, integrate and continuously improve the scientific systems, research data and digital workflows that support modern drug discovery.

As research becomes increasingly digital and data-driven, our role is to ensure that scientific systems evolve with the science, research data becomes a trusted asset, and digital technologies create real value for researchers.

You will join the Research Informatics team within Global Research. Working closely with researchers, colleagues across Lundbeck Global IT and technology vendors, you will help implement, configure and improve the digital platforms used across Research. You will contribute to scientific applications, research data and digital workflows that enable researchers to work more efficiently and make better use of their data.

This is a hands-on role where you will combine scientific understanding with technical skills to deliver practical digital solutions that support discovery research.

What you will do:

Support scientific applications

Work with researchers to gather, analyse and document business and scientific requirements for new digital capabilities.

Implement, configure and maintain scientific applications supporting Global Research.

Work with researchers to understand scientific workflows and translate research needs into practical digital solutions.

Support application lifecycle management, testing, documentation and user support.

Collaborate with colleagues across Lundbeck Global IT (EDE) and technology vendors to continuously improve the scientific application landscape.

Connect research data

Contribute to connecting research data across the digital research landscape.

Implement and support data flows, metadata models and integrations between scientific applications.

Apply FAIR data principles to improve the quality, accessibility and reuse of research data.

Help establish trusted research data that supports today's science and tomorrow's advanced analytics and AI.

Improve digital research

Identify opportunities to improve scientific workflows through better digital solutions.

Participate in implementation of new technologies and enhancements to existing platforms.

Contribute to testing, training and knowledge sharing.

Collaborate across Research, Lundbeck Global IT (EDE) and external partners to continuously improve the digital research environment.

Your future team

Research Informatics is a collaborative team with expertise spanning life sciences, laboratory informatics, research data management and digital technologies.

Together we build and continuously improve the scientific systems, research data and digital workflows that underpin discovery research. We combine scientific understanding with technical expertise to ensure our digital capabilities evolve alongside the science they support.

The position is based at Lundbeck Headquarters in Valby.

What you bring to the team

You are curious about science and motivated by solving practical problems through technology. You enjoy understanding how research is performed and using that understanding to build better systems, better research data and better digital workflows.

You are motivated by building and improving digital solutions that scientists rely on, and enjoy turning scientific needs into robust systems, integrations and data flows.

Required qualifications

MSc in Life Sciences, Computer Science, Engineering or another relevant scientific or technical discipline.

Strong understanding of scientific research workflows.

Experience from pharmaceutical, biotechnology or academic research.

You have experience with several of the following

You have experience working with scientific systems, research data and digital workflows and enjoy translating scientific needs into practical technical solutions. Experience with requirements gathering and using modern AI-assisted development tools to improve productivity, including large language models (LLMs) for coding and technical problem solving, is an advantage.

Business and scientific requirements gathering

Using large language models (LLMs) and AI-assisted development tools to support coding, scripting and technical problem solving

FAIR data principles and research data management

Data flows between scientific applications

Metadata and scientific data models

Scientific applications and laboratory informatics

Configuration of commercial scientific software

Systems integration and APIs

Python or other scripting languages

SQL, relational databases and modern data platforms

Cloud-based scientific platforms

Experience with in vivo research and biologics, including antibody discovery, is an advantage.

Personal qualities

Enjoys solving problems in collaboration with others.

Is curious and eager to learn.

Takes a structured approach to your work.

Communicates effectively with both scientific and technical colleagues.

Enjoys working across scientific and technical disciplines.

Our promise to you  

Lundbeck offers an inspiring workplace and innovative culture, where our curiosity, accountability and adaptability enable us to transform lives. We want to go faster and further on addressing the big unmet needs of people living with brain disorders. We offer rewarding careers with a mix of exciting tasks and development opportunities that are balanced with initiatives focused on your well-being.

We need every brain in the game, and at Lundbeck, we are committed to building a workforce that is as diverse as the people we serve. Read more about our commitment at www.lundbeck.com/global/about-us/our-commitment/diversity-and-inclusion .

Annual base salary range: (582 000 - 799 700) DKK gross

At Lundbeck, we are committed to fair and transparent pay. Please note that the final base salary within the stated range will be based on relevant qualifications, skills, competencies, and level of proficiency as well as internal pay equity.

Apply now

Can you see yourself in this role? We want to hear from you. Does this sound like your dream job, but you’re not sure if you meet all the requirements? We still want to hear from you!

Upload your CV and include a few lines about your motivation for applying. We ask you not to include a photo or personal information that does not relate to your professional experience.

If you have questions, please contact Maria Alexandersson, Director Research Informatics at maxa@lundbeck.com.

Applications must be received by August 31st, 2026.

Learn more about us at www.lundbeck.com , LinkedIn or Instagram (@h_lundbeck).

#EveryBrainInTheGame

This job ad is intended for individuals seeking a career opportunity with Lundbeck. We engage with recruitment and search firms where needed on the basis of a written agreement, and we do not accept unsolicited requests of any kind. If you work as a recruitment consultant, you are kindly instructed to refrain from contacting Lundbeck or the hiring manager directly with suggested candidates. If you violate this policy, you do so at your own risk and for your own account, and Lundbeck will not assume any liability nor pay any associated fees resulting from such violation.

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Job details

Seniority
Not listed
Function
Data & Digital
Therapeutic area
Not listed
Location
Copenhagen, Denmark
Employment type
Not listed

How this role compares

Computed from every other active Data & Digital role in our database, not just this employer's listings.

We currently track 263 comparable Data & Digital roles across 48 biopharma companies.

263Comparable roles tracked
247Currently active
48Companies hiring similar roles
17Countries represented

Salary context

70 of 263 peers report a salary range (USD, annualized)

Peers share this role's job function. This posting doesn't list a seniority level, so peers aren't narrowed by seniority either -- the range below may span more levels than usual.

This roleSubject Not listed on this posting
Lowest disclosed · Senior CE Data Engineer · Lilly $63,000/yr – $149,600/yr
Peer group range $106,300 – $339,950 (median $204,088)

Where these roles are based

Top locations among the 263 comparable roles

United States92
India87
United Kingdom17
Spain15
France13
Canada8

+ 11 more countries

Seniority mix

157 of 263 peers have a known seniority level

Senior45
Associate Director27
Manager26
Director25
Principal18
Executive/VP9
Associate4
Senior Director3

Therapeutic area mix

4 of 263 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden

Immunology3
Ophthalmology1

Similar opportunities

The closest matches from our peer group, ranked by how similar they are, not how well you'd qualify for them -- treat this as market context, not a guaranteed shortlist; a weak match is labeled as one below.

25%similar
Lilly Indianapolis, Indiana, United States of America
Same function

Matched on job function only -- seniority, specialty, and location weren't confirmed as aligned.

25%similar
Amgen Technology Pvt Ltd. Hyderabad, India
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Matched on job function only -- seniority, specialty, and location weren't confirmed as aligned.

25%similar
Novartis Vienna, Austria
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Matched on job function only -- seniority, specialty, and location weren't confirmed as aligned.

25%similar
Gilead Sciences, Inc. Foster City, United States Director
Same function

Matched on job function only -- seniority, specialty, and location weren't confirmed as aligned.

25%similar
Novartis Cambridge (USA), United States
Same function

Matched on job function only -- seniority, specialty, and location weren't confirmed as aligned.

25%similar
Novartis Cambridge (USA), United States
Same function

Matched on job function only -- seniority, specialty, and location weren't confirmed as aligned.

Notify me about similar jobs

Get an email when we spot other openings like this one – same job function, comparable seniority, roles you'd actually want to see.

How we calculate "similar"

No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.

Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.

25%
Agentic AI Data Engineer - CMC Data Integration
Lilly · Indianapolis, Indiana, United States of America · Seniority not listed
Function Therapeutic area Seniority Country
25%
Director, Advanced Analytics Architecture & Operations
Gilead Sciences, Inc. · Foster City, United States · Director
Function Therapeutic area Seniority Country
25%
Director Analytics Infrastructure, Pipeline Operations
Novartis · Remote Position (USA), United States · Director
Function Therapeutic area Seniority Country
25%
Executive Director, Enterprise Data
Regeneron Pharmaceuticals, Inc (USA) · Tarrytown, United States · Executive/VP
Function Therapeutic area Seniority Country
Unmatched or unknown dimensions score exactly the same: 0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.