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Job-Art: Wissenschaftliche Jobausschreibungen

Bioinformatician / Data scientist

Fachgebiet
Functional precision medicine
Arbeitsstätte
Medical University of Vienna
Website
Bewerbungsfrist
28.02.2022

Ausschreibungstext

We are recruiting a highly motivated Bioinformatician / Data scientist to boost our capabilities to bring precision medicine from bench to bedside at the Functional Precision Hematology Group (https://innere-med-1.meduniwien.ac.at/haematology/functional-precision-hematology-group/) at the Medical University of Vienna, Department of Medicine I, Division of Hematology and Hemostaseology. The group undertakes basic, translation and clinical research to advance and develops novel diagnostics and treatment modalities for patients with hematological malignancies. An ideal candidate will take responsibility for the processing, analyzing, and contributing to interpretation of single-cell transcriptomic, drug-screening, and genomics data, as well as integration of omics datasets.

 

The Functional Precision Hematology Group consists of a highly active, collaborative, and interdisciplinary team of 8 scientists investigating molecular and functional mechanisms of hematological malignancies and their therapeutic targeting. More specifically, the group studies leukemias and lymphomas like T-PLL (T-cell-prolymphocytic leukemia), PTCL (peripheral T-cell lymphoma) and others with a high medical need for improved treatment modalities. Moreover, the group has been instrumental in setting up a viable biobank (Vivi-bank), which currently contains a unique set of over 1000 lymphoma samples. Fully clinically annotated patient cohorts with comprehensive omics and sc-omics data are available for investigation and answering new research questions.

 

The team is led by Prof. Philipp Staber, a physician scientist, working as a Hematologist in the clinics as well as in research. On the laboratory side, the research projects are also supported by Tea Pemovska, PhD, with strong expertise in translational cancer research and systems biology.

 

Requirements:

The candidate should have excellent analytical skills, a strong interest in big data medicine, and a degree (Master or PhD) in either Computer Science/Statistics or Life Sciences, and should satisfy the following requirements:

 

• Strong statistical and script programming skills/experience (e.g., R, python, MATLAB)

• experience working in Linux environments (with Bash scripting an asset)

• experience in adapting and integrating existing bioinformatics tools and making computational workflows

• solid understanding of statistics

• experience in data analysis in one or more fields of systems biology research (e.g., genomics, transcriptomics, proteomics, metabolomics, drug screening)

 

Desired qualifications

• more advanced software engineering skills (Git, algorithms, web development)

• Experiences in artificial intelligence and advanced data visualization techniques

 

The successful candidate will work in a dynamic and highly collaborative environment, therefore good command of English both spoken and written, interpersonal and teamwork skills are a must. She/he will contribute to several existing projects and drive or participate in the planning of new ones.

Why you want to join our team:

This is a great opportunity for a bioinformatician to work in an inspiring and dynamic biomedical research setting.

• You would like to work on big data produced on state-of-the-art instrumentation in a variety of systems biology disciplines including genomics and functional drug testing.

• You are looking for an inclusive workplace with a highly positive and motivating work climate and you appreciate the possibility to join our translational research program.

• The possibility to contribute to and co-author cutting-edge scientific publications

• The minimum salary according to the collective agreement is EUR 2.971,50EUR. The actual salary will be determined individually, based on your qualifications and experience

Application details

 

Please submit your application to Prof. Philipp Staber (philipp.staber(at)meduniwien.ac.at) with a motivation letter describing why you are the ideal candidate for this position, your curriculum vitae and contact details of 2-3 referees in a single PDF file.

 

Key References

Functional Precision Medicine Provides Clinical Benefit in Advanced Aggressive Hematological Cancers and Identifies Exceptional Responders. Kornauth C, Pemovska T, Vladimer GI, Bayer G, Bergmann M, Eder S, Eichner R, Erl M, Esterbauer H, Exner R, Felsleitner-Hauer V, Forte M, Gaiger A, Geissler K, Greinix HT, Gstöttner W, Hacker M, Hartmann BL, Hauswirth AW, Heinemann T, Heintel D, Hoda MA, Hopfinger G, Jaeger U, Kazianka L, Kenner L, Kiesewetter B, Krall N, Krajnik G, Kubicek S, Le T, Lubowitzki S, Mayerhoefer ME, Menschel E, Merkel O, Miura K, Müllauer L, Neumeister P, Noesslinger T, Ocko K, Öhler L, Panny M, Pichler A, Porpaczy E, Prager GW, Raderer M, Ristl R, Ruckser R, Salamon J, Schiefer AI, Schmolke AS, Schwarzinger I, Selzer E, Sillaber C, Skrabs C, Sperr WR, Srndic I, Thalhammer R, Valent P, van der Kouwe E, Vanura K, Vogt S, Waldstein C, Wolf D, Zielinski CC, Zojer N, Simonitsch-Klupp I, Superti-Furga G, Snijder B, Staber PB. Cancer Discov. 2021 Oct 11:candisc.0538.2021. doi: 10.1158/2159-8290.CD-21-0538. Online ahead of print. PMID: 34635570.

Metabolic drug survey highlights cancer cell dependencies and vulnerabilities. Pemovska T, Bigenzahn JW, Srndic I, Lercher A, Bergthaler A, César-Razquin A, Kartnig F, Kornauth C, Valent P, Staber PB, Superti-Furga G. Nat Commun. 2021 Dec 14;12(1):7190. doi: 10.1038/s41467-021-27329-x. PMID: 34907165.

Core-binding factor leukemia hijacks the T-cell-prone PU.1 antisense promoter. van der Kouwe E, Heller G, Czibere A, Pulikkan JA, Agreiter C, Castilla LH, Delwel R, Di Ruscio A, Ebralidze AK, Forte M, Grebien F, Heyes E, Kazianka L, Klinger J, Kornauth C, Le T, Lind K, Barbosa IAM, Pemovska T, Pichler A, Schmolke AS, Schweicker CM, Sill H, Sperr WR, Spittler A, Surapally S, Trinh BQ, Valent P, Vanura K, Welner RS, Zuber J, Tenen DG, Staber PB. Blood. 2021 Oct 14;138(15):1345-1358. doi: 10.1182/blood.2020008971. PMID: 34010414.

Rationale for the combination of venetoclax and ibrutinib in T-prolymphocytic leukemia. Kornauth C, Herbaux C, Boidol B, Guillemette C, Caron P, Mayerhöfer ME, Poulain S, Tournilhac O, Pemovska T, Chong SJF, Van der Kouwe E, Kazianka L, Hopfinger G, Heintel D, Jäger R, Raderer M, Jäger U, Simonitsch-Klupp I, Sperr WR, Kubicek S, Davids MS, Staber PB. Haematologica. 2021 Aug 1;106(8):2251-2256. doi: 10.3324/haematol.2020.271304. PMID: 33626863.

Image-based ex-vivo drug screening for patients with aggressive haematological malignancies: interim results from a single-arm, open-label, pilot study. Snijder B, Vladimer GI, Krall N, Miura K, Schmolke AS, Kornauth C, Lopez de la Fuente O, Choi HS, van der Kouwe E, Gültekin S, Kazianka L, Bigenzahn JW, Hoermann G, Prutsch N, Merkel O, Ringler A, Sabler M, Jeryczynski G, Mayerhoefer ME, Simonitsch-Klupp I, Ocko K, Felberbauer F, Müllauer L, Prager GW, Korkmaz B, Kenner L, Sperr WR, Kralovics R, Gisslinger H, Valent P, Kubicek S, Jäger U, Staber PB, Superti-Furga G. Lancet Haematol. 2017 Dec;4(12):e595-e606. doi: 10.1016/S2352-3026(17)30208-9. PMID: 29153976.

Kontakt-Person(en)

Haupt-Kontakt
Name: Prof. Philipp Staber
Telefon: +43(0)140400-73572

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