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PhD in AI-assisted proteomic data analysis applied to Human Health

PhD in AI-assisted proteomic data analysis applied to Human Health

PhD in AI-assisted proteomic data analysis applied to Human Health

PhD in AI-assisted proteomic data analysis applied to Human Health

Universität Wien

Fach- und Hochschulen

Wien

  • Vollzeit
  • 44.500 € – 52.500 € (von XING geschätzt)
  • Vor Ort
  • Zu den Ersten gehören

PhD in AI-assisted proteomic data analysis applied to Human Health

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The University of Vienna is a community of over 10,000 individuals, including approximately 7,500 academic staff members, who passionately pursue answers to the profound questions that shape our future. They represent individuals driven by curiosity and a relentless pursuit of excellence. With us, they find the space to try things out and unfold their potential. Are you inspired by their passion and determination? We are currently seeking a/an

PhD in AI-assisted proteomic data analysis applied to Human Health

50 Faculty of Life Sciences

Job vacancy starting: 09/01/2025 (MM-DD-YYYY) | Working hours: 30,00 | Classification CBA: §48 VwGr. B1 Grundstufe (praedoc)

Limited contract until: 08/31/2029

Job ID: 4246

Are you passionate about developing and applying cutting-edge AI-assisted proteomic data analysis to tackle relevant health challenges? Then come and join our lab (headed by Prof. Manuela Schmidt) at the Division of Pharmacology and Toxicology and at the newly established University Vienna – Bruker Center of Excellence for Metaproteomics (headed by Dr. David Gomez-Varela), University of Vienna, Austria.

Your working place:

Your future workplace is situated at the Faculty of Life Sciences at the University Center Althanstraße (UZA II), where research groups work in the pharmaceutical sciences, nutritional sciences and biology. Our translational research focuses on the molecular underpinnings of chronic pain and the dynamics of host-microbiome interactions in health and disease. Methodologically, we combine molecular biology, biochemistry, pharmacology, preclinical mouse models and the latest (meta)proteomics techniques. Our research lives from our fruitful collaborations with basic researchers, bioinformaticians and clinicians facilitating forward and reverse translation of our research results. Importantly, our research highly benefits from innovative methodological expertise and collaboration with the University Vienna – Bruker Center of Excellence for Metaproteomics.

The employment duration is 4 years. Initially limited to 1.5 years, the employment relationship is automatically extended to 4 years if the employer does not terminate it within the first 12 months by submitting a non-extension declaration.

Your profile

The position holder will work on employing bioinformatics to elucidate the dynamics of the (meta)proteome in preclinical mouse models and in clinical projects. Candidates need expert knowledge in bioinformatic data analysis. Strong expertise in multi-omics data analysis (using R and Python) and a deep understanding of machine-learning models are must-criteria for this position.

Candidates having pharmaceutical industry experience and expertise in translational research or biomarker discovery will be given preference. Above all, we seek a skilled and dedicated person, who enjoys science and shares our passion for research!

This is part of your personality:

Your education and skillset:

  • Completed master studies in bioinformatics, biology, pharmacy or related fields.
  • Strong expertise in multi-omics data analysis (using R and Python) and a deep understanding of machine-learning models.
  • Candidates having pharmaceutical industry experience and expertise in translational research and biomarker discovery will be given preference.
  • Fluent in English (in speech and writing)

Your personality:

  • Open, collaborative and curious personality
  • Pro-active approach with dedication to learning
  • Good problem-solving skills
  • Self-driven motivation and striving for independence
  • Excellent communication skills
  • Ability to work as part of a team

Your future tasks:

Your responsibilities

  • Analyze (meta)proteomics data.
  • Develop data analysis pipelines for proteomics and metaproteomics datasets.
  • Develop your research project and become an expert in this field
  • Write manuscripts using acquired results and support funding applications.
  • Contribute to collaborative projects within our research group and with our collaboration partners.
  • Contribute to teaching Bsc and Msc students of pharmacy.
  • Supervise research projects of Msc and PhD students.

What we offer:

  • Admission to a Doctoral School such as the Vienna doctoral school of Pharmacology, Nutritional and Sport Sciences (PhaNuSpo)
  • Inspiring working atmosphere - You are a part of an international academic team in a healthy and fair working environment.
  • Affordable living cost and great public transport connections - Your workplace in the center of beautiful Vienna is easily accessible by public transport.
  • Training & Coaching - Opportunity to continuously deepen your skills. University of Vienna offers over 600 courses to choose from, free of charge.
  • Fair salary - The basic salary of EUR 3.714,80 on a full-time basis (14 times a year). The employment duration is 4 years. Initially limited to 1.5 years, the employment relationship is automatically extended to 4 years if the employer does not terminate it within the first 12 months by submitting a non-extension declaration.
  • Equal opportunities for all - We look forward to diverse personalities in the team!

It is that easy to apply, just send us:

  • Your scientific curriculum vitae highlighting your exceptional fit and skills for this position.
  • Your letter of intent, which emphasizes your motivation and skills for this position
  • Your list of publications highlighting those with relevance for this position
  • Proof of your Master Degree
  • Contact details of people who could provide references
  • Send all documents via our job portal/ Apply now - button

If you have any questions, please contact:

Manuela Schmidt

manuela_schmidt@univie.ac.at

We look forward to new personalities in our team!
The University of Vienna has an anti-discriminatory employment policy and attaches great importance to equal opportunities, the advancement of women and diversity. We lay special emphasis on increasing the number of women in senior and in academic positions among the academic and general university staff and therefore expressly encourage qualified women to apply. Given equal qualifications, preference will be given to female candidates.

University of Vienna. Space for personalities. Since 1365.

​Application deadline: 07/10/2025

PhD in AI-assisted proteomic data analysis applied to Human Health

PhD in AI-assisted proteomic data analysis applied to Human Health

    Wien
  • Vollzeit

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