Jessica Nordlund profile picture

Jessica Nordlund

Associate Professor & Research Group Leader at Uppsala University

Uppsala University
Country flagSweden

Research Interests

Explore related searches

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

Positions (1)

Publisher
source

Jessica Nordlund

University Name
.

Uppsala University

Uppsala University is seeking a technology-driven bioinformatician to join the Data Operations group at the SciLifeLab National Genomics Infrastructure (NGI) node in Uppsala. This permanent, full-time position is based in the Department of Medical Sciences, a large clinical department with a strong research profile in genomics, molecular biology, and clinical research. The successful candidate will work at the interface of bioinformatics and IT, supporting large-scale sequencing (NGS), SNP genotyping, and proteomics services for academia, industry, and international users. The role involves designing, developing, and maintaining open-source systems for processing and analyzing large-scale genomics data, managing data on high-security compute clusters, automating data handling, and integrating systems for laboratory tracking, document management, and KPI visualization. The position also includes developing and supporting internal systems such as LIMS and DevOps solutions (e.g., Ansible, GitLab), and collaborating with Uppsala University IT, UPPMAX, and other SciLifeLab units. Tools and systems used include Arteria, CheckQC, nf-core pipelines, and Nextflow. Applicants must have a university degree in bioinformatics, computer science, IT, or a related field, with at least three years of documented work experience in bioinformatics-related systems development. Required skills include proficiency in Python or a similar programming language, experience with pipeline development (e.g., Nextflow), knowledge of molecular biology and genetics, experience with Git, and excellent English communication skills. Additional valued qualifications include experience with computer clusters, virtualized environments (Docker/Apptainer), software deployment and automation (Ansible, CI/CD), modern software engineering practices, LIMS development, data management, information security, Agile methodologies, and working in quality-assured environments (ISO 17025/27001). A doctoral degree in bioinformatics or a related area is considered an additional qualification. Swedish language skills are a plus. The position offers a stimulating and forward-looking environment, with opportunities to work closely with cutting-edge research and a multidisciplinary team. Uppsala University provides individual salary, standard university benefits, and a supportive workplace recognized for HR Excellence in Research. The application deadline is 13 March 2026, and applications should be submitted through the university's recruitment system, including a CV, documentation of competence, and answers to application questions in lieu of a personal letter. For further information, contact Kristina Larsson (head of Data Operations) or Ulrika Liljedahl (head of unit SNP&SEQ). For more details, visit the official job posting and departmental websites. The position may be subject to security vetting.

7 months ago

Articles (11)

Functional precision medicine (FPM) aims to optimize patient-specific drug selection based on the unique characteristics of their cancer cells. Recent advancements in high throughput ex vivo drug profiling have accelerated interest in FPM. Here, we present a proof-of-concept study for an integrated experimental system that incorporates ex vivo treatment response with a single-cell gene expression output enabling barcoding of several drug conditions in one single-cell sequencing experiment. We demonstrate this through a proof-of-concept investigation focusing on the glucocorticoid-resistant acute lymphoblastic leukemia (ALL) E/R+ Reh cell line. Three different single-cell transcriptome sequencing (scRNA-seq) approaches were evaluated, each exhibiting high cell recovery and accurate tagging of distinct drug conditions. Notably, our comprehensive analysis revealed variations in library complexity, sensitivity (gene detection), and differential gene expression detection across the methods. Despite these differences, we identified a substantial transcriptional response to fludarabine, a highly relevant drug for treating high-risk ALL, which was consistently recapitulated by all three methods. These findings highlight the potential of our integrated approach for studying drug responses at the single-cell level and emphasize the importance of method selection in scRNA-seq studies. Finally, our data encompassing 27 327 cells are freely available to extend to future scRNA-seq methodological comparisons.

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Year:

2022

Year:

2021

Year:

2021

Year:

2021

Year:

2021

Collaborators (16)

Vladimir Lazarevic

Lund University

SWEDEN
View details

Laura Oksa

University of Tampere

FINLAND
View details

Marta Lomnytska

Uppsala University Hospital

SWEDEN
View details

Tobias Sjöblom

Professor at Uppsala University

Uppsala University

SWEDEN
View details

Adam Ameur

Uppsala University

SWEDEN
View details

Veronica Rendo

Uppsala University

SWEDEN
View details

Arja Harila-Saari

Professor of paediatrics

Uppsala University

SWEDEN
View details

Markus Ringnér

Lund University

SWEDEN
View details

Andreas Scherer

Institute for Molecular Medicine Finland

FINLAND
View details

Gunnel Nordmark

Associate Professor, adjunct lecturer

Uppsala University

SWEDEN
View details

Ann‐Christine Syvänen

-

SWEDEN
View details

K Sundfeldt

University of Gothenburg, Sahlgrenska Academy

SWEDEN
View details

Richard Rosenquist

Karolinska Institutet

SWEDEN
View details

Merja Heinäniemi

Professor at University of Eastern Finland

University of Eastern Finland

FINLAND
View details

Mattias Andersson

Associate professor

University of Gothenburg

SWEDEN
View details

Ting Gong

University of Hawaii

UNITED STATES
View details
ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.