Postdoc: Single-Cell & Computational Biology in Pain

Karolinska Institutet

Solna kommun

On-site

SEK 420,000 - 540,000

Full time

27 hours ago
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Benefits offered by this job

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Collaborative research environment

Job summary

Karolinska Institutet in Solna invites applications for a postdoctoral scholar in computational biology to investigate molecular landscapes of chronic pain and headache disorders using single-cell and spatial approaches.

The successful candidate will join Saida Hadjab's Neurobiology of Pain & Therapeutics group, collaborate with PhD students and international partners, and contribute to data-intensive analysis and manuscript preparation.

Qualifications

  • Strong background in bioinformatics, statistics, and computational biology.
  • Proficiency in programming, particularly in R, Python, or other relevant languages.
  • Excellent communication skills, written and oral.

Responsibilities

  • Bioinformatics analyses including integration of multiple datasets with a strong focus on single-cell RNA and ATAC sequencing and spatial transcriptomic data.
  • Data quality control, data management, and archival storage; developing code and creating tools for advanced data analysis.
  • Support ongoing research activities, contribute to manuscript and grant writing, and prepare presentations for scientific meetings.
  • Maintain the group’s computational infrastructure and collaborate with PhD students, postdocs, and international partners.

Skills

Bioinformatics
Single-cell analysis
Statistics
Computational biology
Data visualization
R
Python

Education

Ph.D. in computational biology or biomedical sciences with computational focus

Tools

R
Python

Job description

Karolinska Institutet in Solna invites applications for a postdoctoral scholar in computational biology to investigate molecular landscapes of chronic pain and headache disorders using single-cell and spatial approaches.

The successful candidate will join Saida Hadjab's Neurobiology of Pain & Therapeutics group, collaborate with PhD students and international partners, and contribute to data-intensive analysis and manuscript preparation.

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