Integration Data Chief Specialist in in The Immunotherapy Research Group
Łukasiewicz Research Network – PORT Polish Center for Technology Development is a Research Institute within the Łukasiewicz Research Network. It focuses on development of new technologies, resulting from basic and applied research, which, in turn, serves as a basis for innovative solutions for the industry. With high-class specialists and state-of-the-art infrastructure, we provide capacity for the most advanced research. Our Institute consists of three research centers – Life Sciences & Biotechnology Center, Materials Science & Engineering Center and Center for Population Diagnostics, with access to specialized core laboratories – a combination, which allows to carry out both, scientific research and pilot studies for the industry in a comprehensive manner.
We invite candidates to apply for the position of
Integration Data Chief Specialist in The Immunotherapy Research Group.
Łukasiewicz–PORT is implementing a project funded by the Medical Research Agency titled:”Optimization of blood donor selection for the production of therapeutic gamma-delta T lymphocytes in the treatment of malignant brain tumors.” The goal of the project is to conduct multi-omic characterization of γδ T cell cultures, which may be applied in future anti-cancer therapies. We aim to develop an in-depth profile of lymphocytes with the highest cytotoxic activity against glioblastoma multiforme, as well as a procedure to enable effective identification of suitable blood donors. The profile of the “ideal” donor will be developed based on bioinformatic integration of data from:
- cytotoxicity tests of lymphocytes (biochemical and microscopic) performed on established and primary glioblastoma cell lines,
- transcriptomic analyses of lymphocyte cultures (next-generation sequencing),
- proteomic analyses of lymphocyte cultures (mass spectrometry),
- phenotypic analyses of lymphocytes (flow cytometry),
- biochemical analyses of donor plasma.
Scope of responsibilities
- Conducting comprehensive integration of multi-omic data from various research platforms, including:
- RNA sequencing (bulk RNA-seq, single-cell RNA-seq)
- sequencing of TCR γδ receptor repertoires
- proteomic analyses (mass spectrometry)
- results of functional cell culture assays (cytotoxicity)
- expression of cellular markers (flow cytometry)
- biochemical analyses of plasma and cytokine production
- Performing advanced bioinformatic analyses, such as differential gene expression analysis, identification of molecular markers, detection of cell clusters, and RNA–protein correlation analysis, to define molecular signatures associated with cytotoxicity against glioblastoma.
- Creating automated data analysis workflows, including data preprocessing (quality control, filtering, normalization, cross-platform scaling) and automation of analyses in R and/or Python.
- Drawing biological conclusions from data using various methods, i.e. GSEA, GSVA, signaling network analysis, protein interaction analysis (i.e. using Cytoscape, STRING), to identify potential therapeutic pathways or biomarkers.
- RNA–protein correlation analyses and identification of concordant expression pairs.
- Cluster analysis and detection of unique/recurrent patterns in the data.
- Active participation in the process of identifying candidate “ideal” blood donors for the production of γδ T lymphocytes by integrating omics data with results from functional and phenotypic tests.
- Creating RNA/protein marker lists for future donor selection and the cultivation of lymphocytes with anti-cancer activity.
- Preparing data visualizations and reports, both for scientific purposes (publications, conference presentations) and practical use (i.e. sharing results with clinical team members or project stakeholders).
- Developing and maintaining internal databases and analytical tools that support the long-term goals of the project and facilitate the management of large biological datasets.
Requirements
Education: PhD in biological sciences, bioinformatics, or related fields.
Experience:
- Documented analytical experience with scRNA-seq, mRNA-seq, TCR-seq (TCR repertoire analysis), and/or proteomic data, confirmed by publications in reputable scientific journals (preferably high impact factor).
- Hands-on experience with the analysis and integration of data from various omics platforms, such as: mRNA-seq (bulk and single-cell), TCR-seq, cell phenotyping (flow cytometry), proteomics (LC-MS/MS), metabolomics.
- Knowledge of tools such as DESeq2, Limma, Seurat, Cytoscape, STRING, GSEA, or others.
- Practical use of R and/or Python.
- Experience working in renowned research teams focused on immunology, cancer biology, or immuno-oncology.
- An additional asset would be the ability to perform in silico design of expression constructs for potential γδ TCRs selected based on TCR-seq and RNA-seq data, for use in cancer immunotherapy.
- Experience in designing CRISPR systems targeting molecular markers identified through omics data analysis will also be considered an advantage.
Subject-matter knowledge:
- Due to the thematic scope of the project, candidates with strong knowledge of immunology, particularly mechanisms of adaptive immune system function, cancer biology, and cell biology, will be preferred.
- Knowledge of γδ T cell mechanisms of action and their potential application in cancer immunotherapy will be considered an additional asset.
Soft skills:
- Ability to work effectively in an interdisciplinary research team.
- Independence, accuracy, and responsibility in task execution.
- Ability to clearly and precisely present research findings, including to non-academic audiences – ideally supported by experience in presenting at international scientific symposia.
We offer:
- Full-time employment on the position of Chief Specialist;
- Work in a scientific and research organization focused on the implementation of innovative prestigious research and development projects;
- Co-financing for private medical care;
- Co-financing for a sports card;
- Possibility to join group life insurance;
- Co-financing under the Social Benefits Fund (for holidays and Christmas);
- Work on the territory of a green science campus;
- Free parking space.
Apply via the link below:
Application deadline: 27.07.2025
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We kindly inform you that we will contact only selected candidates.