The Division of Diagnostics and Technology at Akershus University Hospital is committed to advancing the precision treatment and diagnosis of cancer through cutting-edge technologies, such as AI and high-throughput sequencing. We are seeking a highly motivated and technically well versed Bioinformatician to join our dynamic molecular pathology team and contribute to our mission of improving cancer diagnostics and treatment strategies.

Akershus University Hospital HF is a workplace with great diversity. It is a clear strength, and crucial for solving our many tasks within patient care, patient follow-up, research and teaching. We therefore also want a diversity of applicants for vacant positions, and encourage all qualified people to apply, regardless of identity and background. The employer reserves the right to change the workplace, work tasks and area of responsibility if necessary.

Duties

As a Bioinformatician in the Section for Molecular Pathology and Research in the Department of
Pathology, you will play a key role in the analysis of high-throughput NGS data, specifically from Illumina
and Thermo Fisher platforms, to investigate the genetic alterations in cancer patients. You will collaborate
closely with molecular biologists, researchers, pathologists, and clinicians to interpret sequencing data,
both within the daily diagnostic routine, as well as in support ongoing cancer research projects, and
publications. This position offers an excellent opportunity to work in a multidisciplinary environment at
the forefront of diagnostics and research both within and outside cancer. In addition, the position entails a
role in the collaborative environment of the national InPreD network (Infrastructure for Precision Cancer
Diagnostics).

Key Responsibilities:

Perform bioinformatics analysis of NGS data (Illumina and Thermo Fisher platforms) to identify genetic mutations, structural variants, and other key biomarkers in cancer patients.
Develop and implement pipelines/ workflows, including read mapping, variant calling, and other genomic data processing tasks.
Maintain version control and collaborative code development using Git.
Develop and optimize scripts and pipelines using Bash, R, and Python.
Work with bioinformatics tools such as SAMtools, Snakemake, nextflow, and other related software.
Analyze and interpret complex genomic data to uncover insights into disease mechanisms, treatment responses, and patient outcomes.
Develop and implement bioinformatics pipelines and workflows for data processing, analysis, and visualization.
Collaborate with cancer researchers, clinicians, and other bioinformaticians to design and support research projects.
Contribute to writing manuscripts, reports, and presentations based on research findings .
Stay up-to-date with advancements in bioinformatics tools and genomics research.
Provide bioinformatics support and expertise to other members of the department.

Qualifications

Required Qualifications:

Ph.D. in Bioinformatics, Computational Biology, Genomics, or a related field; MSc will be considered
with proven experience.
Experience with the analysis of NGS data, particularly from Illumina and Thermo Fisher platforms.
Cluster experience able to utilize and manage HPC cluster resources for large-scale data processing.
Experience with genomic data analysis software and databases (e.g., GATK, STAR, Bowtie, Variant
Calling, and annotation tools).
A basic understanding of containerisation technologies (like singularity or docker).
Excellent problem-solving skills and ability to work with complex datasets.
Ability to work collaboratively in a multidisciplinary team environment.
Excellent communication skills, both written and verbal English; the ability to communicate in Norwegian within six months is expected.
Strong problem-solving skills and ability to work both independently and within a team environment.

Preferred Qualifications:
Experience with data generated by TSO500 Illumina panel.
Experience with UiO's Tjenester for Sensitive Data (TSD; an HPC with slurm workload manager)
Experience working in research and diagnostic settings.
Knowledge of personalized medicine.
Familiarity with GitHub/GitLab or similar.
Proficient in Norwegian. The preferred work language is Norwegian, so the ability to communicate in
Norwegian/Swedish will be weighted heavily.

Personal Attributes

Strong collaborative and communication skills.
Solution-oriented and highly organized.
Quality-conscious, accurate and professionally skilled.
Ability to work independently and in a multidisciplinary team.
Good ability to document according to current procedures.
Able to cope with periods of high work pressure.
Service-minded and good communication skills.
High degree of order and effi ciency.
Personal suitability is emphasized.

We offer

As an employee at Ahus, you will play a key role in fulfilling our important social mission!

We highly value your well-being and commitment – both at work and in your free time. With us, you have access to a rich and varied cultural and leisure offer that gives you the opportunity to relax, have fun and build community across departments. Our company sports team offers a wide range of indoor and outdoor activities that promote well-being and unity. In addition, you can participate in the choir, revue group, or take advantage of our holiday apartments, cabins and a number of other exciting cultural offers, discounts and benefits.

Ahus also has several staff kindergartens, and anyone who has an employment relationship with the company can apply for a place, regardless of which municipality they live in. The kindergartens are located in the immediate vicinity of our location at Nordbyhagen. As an employee, you can rent accommodation at Ahus at Nordbyhagen or Ahus Kongsvinger. The homes vary in size from 1-bedroom to 4-bedroom apartments in apartment blocks, townhouses and single-family homes.

Read more about all our offers to our employees here: www.ahus.no/om-oss/ansatte

Kontaktinformasjon

John Christopher Noone, Seksjonsleder, cnoo@ahus.no

Arbeidssted

Sykehusveien 25
1474 Nordbyhagen

Nøkkelinformasjon:

Arbeidsgiver: Akershus universitetssykehus HF

Referansenr.: 5034855961
Stillingsprosent: 100%
Fast
Søknadsfrist: 18.11.2025

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