Bioinformatician/Researcher
Department of Pathology, Section for Molecular Pathology and Research, Akershus
- Frist 20.2.2026
- Ansettelsesform Fast
The Division of Diagnostics and Technology at Akershus University Hospital is committed to advancing the precision treatment and diagnosis of cancer and other medical conditions 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 molecular diagnostics and treatment strategies. The position will be under The Section for Molecular Pathology and Research.
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.
Arbeidsoppgaver
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, primarily from Thermo Fisher platforms, and possibly other platforms eventually, to investigate the genetic alterations in 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 research projects, and publications. This position offers an excellent opportunity to work in a multidisciplinary environment at the forefront of diagnostics and research.
Key Responsibilities:
- Perform bioinformatics analysis of NGS data to identify genomic mutations, structural variants, and other key biomarkers.
- 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 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.
- 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 UiO's Tjenester for Sensitive Data (TSD; an HPC with slurm workload manager)
- Experience working in research and diagnostic settings.
- 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 efficiency
- Personal suitability is emphasized
We offer
As an employee at Ahus, you will play a key role in solving our important social mission!
We greatly value both your well-being and your 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 a 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 from Ahus at Nordbyhagen. The homes vary in size from 1-bedroom to 4-bedroom apartments in blocks of flats, townhouses and single-family homes.
Read more about all our offers for our employees here: www.ahus.no/om-oss/ansatte
Kontaktinformasjon
John Christopher Noone, Section Head, cnoo@ahus.noArbeidssted
Sykehusveien 251474 Nordbyhagen
Nøkkelinformasjon:
Arbeidsgiver: Akershus universitetssykehus HFReferansenr.: 5076152595
Stillingsprosent: 100%
Regular
Søknadsfrist: 20.02.2026
Annonseinformasjon
- FINN-kode 449672906
- Sist endret
