Postdoctoral studies in regulatory genomics in neuroscience (scholarship)

Karolinska Institutet; Stockholms kommun; On-site; SEK 436,824 - 546,030; Part time

Benefits offered by this job

Access to state-of-the-art compute & GPU infrastructure

Large genomics datasets and experimental platforms

Creative and inspiring environment

Job summary

Karolinska Institutet is seeking a highly motivated postdoctoral fellow to join the Llorens laboratory in Stockholm. The successful candidate will work on computational methods for single-cell and spatial genomics to study neural circuit repair and regeneration.

This role requires a PhD in Bioinformatics or related fields and offers a vibrant research environment with opportunities for collaboration in one of Europe’s largest laboratories.

Qualifications

• Strong publication record and relevant experience from PhD or previous postdoctoral work.
• Prior experience with deep learning applied to multiomics datasets is a plus.
• Good communication skills in spoken and written English are required.

Responsibilities

• Develop advanced computational methods for single-cell and spatial genomics.
• Integrate large-scale datasets across species with deep learning models.
• Support design of regenerative therapies in the nervous system.

Skills

Computational biology

Machine learning

Single-cell multiomics

Bioinformatics

Gene regulation

Education

PhD in Bioinformatics, Artificial Intelligence, Computer Science, or Bio-engineering

Tools

TensorFlow

Keras

PyTorch

Job description

Postdoctoral studies in regulatory genomics in neuroscience (scholarship)

The Llorens laboratory offers a vibrant, stimulating and international environment in the Department of Cell and Molecular Biology at the Karolinska Institute in Stockholm, Sweden. The lab is located in Biomedicum, one of Europe’s largest laboratories with ultramodern facilities and rich opportunities for collaboration and career development.

Division

Our lab is interested in stimulating regeneration in the mammalian central nervous system (CNS). We aim to uncover the principles of gene expression regulation during development and repurpose them for regeneration. A multidisciplinary approach involves glial biology, genomics, molecular engineering and animal models of disease.

In recent work, we discovered a latent regenerative potential in adult spinal cord stem cells using single cell multiomics and designed a targeted intervention to elicit such potential (Llorens‑Bobadilla et al. Science 2020). We also develop novel technologies for spatially‑resolved multiomics (Llorens‑Bobadilla et al. Nature Biotechnology 2023) and sequence‑to‑function genomics modeling to interrogate and specifically perturb injury‑induced programmes (Zamboni et al. Nature Neuroscience 2026).

The current projects aim at using computational modelling of multi‑omic single cell and spatial genomics datasets to uncover principles of gene expression regulation during CNS injury and repurpose them for regeneration using synthetic genomics.

We are seeking a highly motivated postdoctoral fellow to apply and develop advanced computational methods for cutting‑edge single‑cell and spatial genomics approaches to uncover mechanisms of neural circuit repair and regeneration. The candidate will integrate large‑scale transcriptomic and epigenomic datasets across species with state‑of‑the‑art deep learning models to link sequence to function, supporting the design of regenerative therapies in the nervous system. The successful candidate will interact with experimentalists to combine data‑driven analysis with subsequent in vivo perturbations.

Your profile

We are looking for a highly motivated, self‑driven computational biologist with a strong track record and relevant experience from PhD and/or previous postdoctoral work. A strong publication record and a recently completed PhD will be considered advantageous. The successful applicant is expected to have a background and strong interest in computational biology, machine learning, single‑cell or spatial multiomics, bioinformatics, and gene regulation. Prior experience with deep learning applied to multiomics datasets is a plus. Good communication skills in spoken and written English are required.

• You hold a PhD degree in Bioinformatics, Artificial Intelligence, Computer Science, Bio‑engineering, or an equivalent discipline.
• Experience with high‑performance computing.
• Experience with machine learning (e.g., TensorFlow/Keras/PyTorch) will be considered an advantage.
• Experience with single‑cell or spatial genomics will be considered an advantage.
• Expertise in gene regulation or comparative regulatory genomics will be considered an advantage.

Entry requirements

Postdoctoral scholarships may be established for foreign researchers who pursue their merit in Sweden. A foreign researcher is a person living in another country who comes to Sweden with the intention of only staying in Sweden for all or part of their postdoctoral education at KI. Persons who are resident in Sweden and/or have carried out all or part of their academic education at KI or some other educational institution in Sweden cannot be considered for scholarships. The purpose of scholarships for postdoctoral qualification is to promote internationalization and contribute to research qualification after a doctorate or equivalent. A scholarship for carrying out postdoctoral research can be granted for a maximum of two years within a four‑year period following the receipt of a doctoral degree or equivalent. To be eligible for a postdoctoral scholarship, the person must have obtained a doctorate, or a foreign degree deemed to be equivalent to a doctorate. Applicants who have not completed a doctorate at the end of the application period may also apply, provided that all requirements for a completed degree are met before the (intended) start date of the post‑doctoral education.

What do we offer?

Access to state‑of‑the‑art compute & GPU infrastructure and large state‑of‑the‑art genomics datasets and experimental platforms.

A creative and inspiring environment, driven by curiosity and aimed at tackling fundamental biomedical problems.

Karolinska Institutet is one of the world’s leading medical universities. Here, we conduct innovative medical research and provide the largest range of biomedical education in Sweden. At KI, you get to meet researchers working with a wide range of specialisms and methods, giving you ample opportunity to exchange knowledge and experience with various scientific fields within medicine and health. The close relationship with the health care providers is important for creating groundbreaking research.

Location: Stockholm

Type of scholarship

The amount is tax free and it is set for twelve months at a time, paid out on a six‑month basis. In exceptional cases, shorter periods may be acceptable.

Contact: Enric Llorens, Assistant Professor, [e-mail]