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Paid Internship
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21Open Positions

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Computational assistant

Uppsala universitet (Uppsala University)
Found 2 months ago
Location
Uppsala, Sweden
Duration (Months)
12 Months
Time
Full-time
Work Mode
Not disclosed
Salary
fixed pay
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Master

Skills & Qualifications

Technical Skills

  • R
  • Python
  • statistics
  • sequence data analysis
  • data visualization
  • bulk and single-cell RNA-
  • ATC-seq datasets
  • bioinformatics datasets
  • Linux/UNIX environment
  • high-performance computing (HPC) clusters
  • version control systems
  • Git

Soft Skills

  • highly motivated candidate
  • interest in studying malignant brain tumors
  • Fluency in written and spoken English

Job Description

A Research Assistant position is available in the research group of Veronica Rendo at the Department of Immunology, Genetics and Pathology at Uppsala University. We are looking for a highly motivated candidate with an interest in studying malignant brain tumors, supporting projects that focus on elucidating the mechanisms of response and resistance associated with standard-of-care treatment and clinically-relevant targeted therapies in this disease. The Research Assistant will conduct computational analyses to investigate tumor evolution and treatment resistance in tumor samples and cell lines from brain tumor patients. These include single-cell RNA, ATAC, and multiome sequencing data, along with datasets generated from cellular barcoding approaches, epigenetic profiling methods (e.g., CUT&RUN), and genome-wide CRISPR screens.

Requirements

  • Master's degree in computational biology, bioinformatics, data science, machine learning, molecular medicine, or equivalent, or be scheduled to graduate by July 2026 at the latest
  • proficient with R or Python programming
  • statistics
  • handling of large datasets
  • Previous experience sequence in data analysis and visualization is expected
  • Fluency in written and spoken English is required

Related Field

  • AI & Machine Learning

Related Subfield

  • AI Research

Languages

  • English

Nice to Haves

  • Experience with analysis of bulk and single-cell RNA- and ATC-seq datasets is considered a strong merit, particularly in the field of oncology
  • experience processing and analyzing large bioinformatics datasets in a Linux/UNIX environment, including the use of high-performance computing (HPC) clusters, and is familiar with version control systems such as Git
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