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Hosting Offer: Medical University of Lodz

Information about Hosting Offer

Information

RoleHosting Offer
OrganisationMedical University of Lodz
Organisation typePublic
CityLodz
HR Excellence in Research Award from the European Commissionyes
National evaluation categoryA+ (excellent)
Faculty / Dept. / Division / Laboratory / Research groupDepartment of Biostatistics and Translational Medicine
Websitebiostat.umed.pl
Thematic area/fieldNZ – Life Sciences / NZ5 Human and animal non-infectious diseases
Key wordsBiomarkers, microRNA, diabetes, cancer, biostatistics
Short summary of activities and expertiseOur team is an interdisciplinary group of physicians, biostatisticians, bioinformaticians and molecular biologists interested in biomarkers, oncology, diabetology and translational medicine. Recently, team members became involved in clinical trial design and collaborate extensively with more than 25 research teams worldwide, mostly from the USA, Switzerland, UK and Germany. We are interested in effectively using the wide arsenal of research tools in innovative ways and designing new ones to fill identified gaps of knowledge or capability. From the scientific standpoint, non-coding RNAs, particularly microRNAs and their biomarker potential have been the principal focus of our projects funded in national and EU-sponsored programmes.
Role and profile of key persons (incl. supervisor)Prof. Wojciech Fendler MD, PhD - group leader, Head of the Department, Scientific Director of the Clinical Trials Unit Urszula Smyczynska PhD Eng - head of the IT/programming team Konrad Stawiski MD PhD - radiation oncology specialist, fan of deep learning and AI-based methods Ewelina Perdas PhD - molecular biologist Damian Mikulski MD - PhD student, resident in hematology/oncology Zuzanna Nowicka MD - PhD student and specialist in clinical trial design Arkadiusz Michalak - PhD student and specialist in clinical trial design Szymon Grabia MSc Eng - Programmer/Bioinformatician Aleksandra Ryk MSc - molecular biologist Katarzyna Ploszka MSc - Biostatistician/Biotechnologist Jedrzej Chrzanowski - Biostatistician Anna Wielgus MSc Eng - Data Manager / Programmer Antoni Blachnicki Eng - Programmer Katarzyna Michalak - Secretary 4 medical students, 3 high school students from a community outreach programme
Previous and current involvement in research and training programmes2019/33/B/NZ5/00536 Fendler (PI) 03-2020- National Science Center “Multiomic analysis of serum and exosomal biomolecules associated with total body irradiation” First TEAM/2016-2/11 Fendler (PI) 05.2017-10.2021 Foundation for Polish Science Predictive biomarkers of radiation toxicity (PBRTox) 2012/05/E/NZ5/02130 Fendler (PI) 07.2012- National Science Center “Serum microRNA profiling as a diagnostic tool for rare subtypes of diabetes”, 2014/15/B/NZ5/00144 Fendler (PI) 07.2014- National Science Center MicroRNAs as causative and disease-modifying factors in renal cysts and diabetes syndrome” IP 2010 008870 Fendler (PI) 02/08/2012-02/08/2013 Ministry of Science and Higher Education “Development of selection and prioritization algorithms for genetic studies on monogenic diabetes” 0111/IP1/2013/72 Fendler (PI) 06/22/2012-06/22/2014 Ministry of Science and Higher Education “Genetic variability of the glucokinase gene in lipid metabolism regulation in opposite phenotypes of monogenic diabetes and hyperinsulinism” 2011/01/D/NZ5/02811 Fendler (PI) 12/01/2011-11/30/2014 National Science Centre “Bioinformatics-driven search for biological markers of HNF1B-related phenotypes of diabetes and renal anomalies” And 8 smaller grants awarded to PhD students and junior researchers for PhD projects and scientific exchanges.
Relevant publications and/or research/innovation productsa) Evolutionarily conserved serum microRNAs predict radiation-induced fatality in nonhuman primates. Fendler W, et al.. Sci Transl Med. 2017 Mar 1;9(379). b) Serum microRNAs are early indicators of survival after radiation-induced hematopoietic injury. Acharya SS, Fendler W, et al. Sci Transl Med. 2015 May 13;7(287):287ra69. c) Małachowska B, et al. Circulating microRNAs as Biomarkers of Radiation Exposure: A Systematic Review and Meta-Analysis. Int J Radiat Oncol Biol Phys. 2020 Feb 1;106(2):390-402. d) Elias KM, Fendler W,et al. Diagnostic potential for a serum miRNA neural network for detection of ovarian cancer. Elife. 2017 Oct 31;6. doi: 10.7554/eLife.28932. e) Pagacz K, et al. A systemic approach to screening high-throughput RT-qPCR data for a suitable set of reference circulating miRNAs. BMC Genomics. 2020 Jan 31;21(1):111. doi: 10.1186/s12864-020-6530-3. f) Grabia S, et al.. NormiRazor: tool applying GPU-accelerated computing for determination of internal references in microRNA transcription studies. BMC Bioinformatics. 2020 Sep 29;21(1):425. doi: 10.1186/s12859-020-03743-8. g) Differential regulation of serum microRNA expression by HNF1β and HNF1α transcription factors. Fendler W, et al. Diabetologia. 2016 Jul;59(7):1463-73. doi: 10.1007/s00125-016-3945-0. h) Biancur DE, et al. Compensatory metabolic networks in pancreatic cancers upon perturbation of glutamine metabolism. Nat Commun. 2017 Jul 3;8:15965. doi: 10.1038/ncomms15965. i) Santana-Codina N, et al. Defining and Targeting Adaptations to Oncogenic KRASG12C Inhibition Using Quantitative Temporal Proteomics. Cell Rep. 2020 Mar 31;30(13):4584-4599.e4.
Key research facilities, infrastructure, and equipmentLarge data processing center, core facility for molecular biology (NGS, qPCR, cell culture, microscopy etc.), clinical trials unit, access to 5 clinical hospitals of the MUL with established collaborations with multiple units and departments to facilitate patient recruitment. Additionally, we conduct academic teaching and training in 6 different tracks for students of medicine, biotechnology, PhD students and faculty members.
Hosting arrangementsLarge data processing center, core facility for molecular biology (NGS, qPCR, cell culture, microscopy etc.), clinical trials unit, access to 5 clinical hospitals of the MUL with established collaborations with multiple units and departments to facilitate patient recruitment. Additionally, we conduct academic teaching and training in 6 different tracks for students of medicine, biotechnology, PhD students and faculty members.
Key research facilities, infrastructure, and equipmentWe are interested in full time working arrangement, preferably on site with options for hybrid work for independent and competent candidates. We also guarantee involvement in international projects conducted jointly with our partners from Dana-Farber Cancer Institute, University of Chicago Medicine, University of Bern and many others.
Intersectoral secondments options We collaborate with the pharmaceutic industry and CRO companies in the design and execution of clinical trials. Statistical expertise and recruitment options provided by the Clinical Trials Unit are the two primary areas of such collaborations. We have also performed multiple statistical and data management services for biotech and manufacturing companies on a contract basis. The Department has some experience in IP transfer (one patent, one application, licensing of a diagnostic test is ongoing) and we plan to expand in that area over the next years.
Other benefitsFree healthcare, access to a well-equipped library, sports facilities, cheap housing. We provide all necessary research equipment, multiple specialist courses and options to participate in training activities organized by the MUL. Free coffee...
Candidate sought Bioinformatician, biostatisticians, molecular biologists with at least basic knowledge of data analysis techniques. Medical professionals seeking to expand on their skills in data analysis, molecular biology and early phase clinical trials are also welcome.
Have you hosted POLONEZ Fellows or MSCA IF Fellows before?yes
Candidatures deadline 2022-05-15

Contact

First nameWojciech
Last nameFendler
Email wojciech_fendler@dfci.harvard.edu
Phone number422725385