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The International Center for Translational Eye Research (ICTER) is a multi-investigator center for eye research related to imaging, biochemical and genomics techniques to support advances in understanding the etiology and treatment of human blinding diseases. Further information on the research priorities and current expertise of our Center can be found at http://www.icter.pl.

The group is led by Dr Marcin Tabaka (PI) and leverages high-throughput single-cell RNA and ATAC sequencing to address fundamental questions in biomedical research (https://tabaka-lab.org).

We have an open position for a Research Assistant in Bioinformatics with a focus on the analysis of high-throughput single-cell transcriptomics/epigenomics data and developing new analytical and scalable computational tools thereof. The candidate should have a background in math and computer sciences. No medical or genomics background is required, just inclination to acquire such knowledge is a must.

1. Participation in research projects and attendance at team meetings to share results
2. Design and execute data analysis strategies of high-throughput single-cell genomics data
3. Develop and deploy new methods for high-dimensional data analysis and visualization
4. Collaborate with bioinformaticians and experimentalists
5. Prepare and write scientific papers
6. Active participation in conferences and grant applications

1. Part- or full-time employment contract
2. Opportunity to extend to Ph.D. status after defending M.Sc. thesis
3. Opportunity to work in an innovative scientific environment
4. International cooperation with experienced researchers
5. International training at world-leading research institutes
6. Competitive salary
7. Access to well-staffed core facilities

1. Ph.D./M.Sc degree in Bioinformatics, Computer Science, Math, Statistics, Physics or related quantitative discipline
2. Strong background in computer science and math
3. Background in statistics and machine learning
4. Experience in analyzing high-dimensional data
5. Knowledge of bioinformatics tools for analysis of genomics datasets is a strong plus
6. Experience with python and/or R
7. Familiarity with Unix command-line tools
8. Excellent communication and organizational skills
9. Ability to work independently and interact effectively in an interdisciplinary team
10. Proficiency in English, both spoken and written

1. Knowledge of  bioinformatics, computer science, statistics, and machine learning 
2. Prior experience in analyzing high-dimensional data
3. Experience with Python and/or R         
4. Familiarity with Unix command-line tools            
5. Competences of the candidate with respect to specific tasks in a research project                               
6. Previous educational/scientific achievements 
7. Awards and distinctions