Data Scientist in Computational Proteomics Research – University of Southern Denmark

Tytuł pracy:

Data Scientist in Computational Proteomics Research – University of Southern Denmark

Firma

Syddansk Universitet

Opis stanowiska

Job Category: TAPJob Description:The Protein Research Group at the University of Southern Denmark (SDU) in Odense is seeking a skilled Proteomics Data Scientist to join our team. This role is pivotal in supporting our proteomics research program, specifically focusing on large-scale data analysis within our PLATO research infrastructure ( ) and the National Health Data Science Sandbox. We take advantage of cloud platforms and software containers to enhance performance and usability of our computational proteomics resources. This data scientist position is an exciting opportunity to contribute to national and international research projects in a highly collaborative and dynamic working environment at SDU. The position is initially for 1 year with possibility for extension. The position is available from October 1, 2025.Role and Responsibilities

• Proteomics Data Analysis: You will support our cloud system (UCloud) for analyzing mass spectrometry/proteomics data, maintaining software and adding new powerful tools to generate meaningful information from complex large-scale quantitative proteomics datasets.
• Contribution to Mass Spectrometry Research: You will support and contribute to bioinformatics and computational proteomics research within the PLATO research infrastructure, including implementation of new approaches for data analysis in clinical proteomics, top-down protein characterization and in mass spectrometry imaging.
• PLATO management and training: You will assist the PLATO director and support the management of the PLATO infrastructure, including reporting and website updates. You will collaborate with international researchers and data scientists, providing essential training and support in computational proteomics for ongoing projects.

Your Academic Profile

• Qualifications: A MSc or PhD degree (or equivalent experience) in bioinformatics, computer science, biostatistics, or a related field.
• Programming Skills: Strong programming skills in standard scripting languages such as R and Python are essential. Knowledge of JavaScript is recommended.
• Experience in Mass Spectrometry/Proteomics Data Analysis: A strong background in mass spectrometry/proteomics data analysis is highly prioritized, including also familiarity with machine learning and deep-learning methods.
• Further Technologies: Familiarity with database technologies, Linux environments, and experience with cloud computing platforms is recommended.

Personal Competencies

• Independence and Creativity: Ability to work independently and creatively to solve complex problems.
• Interdisciplinary Collaboration: Willingness to engage in interdisciplinary research projects and collaborate with a diverse team of scientists and students.
• Communication Skills: Proficiency in the English language (speaking, reading, writing) and excellent communications and presentation skills.
• Flexibility: Willingness to take on various tasks and adapt to new challenges.

How to ApplySubmit your application in English online, including:

• A motivation letter that articulates how your skills and experiences align with the responsibilities of this role (max. 1 page)
• Curriculum vitae, including a detailed description of your computational skills (max. 1 page)
• List of publications (if relevant)
• Copy of Masters and/or PhD diploma (or equivalent)
• Two letters of reference

Application Deadline: August 1, 2025Employment Start: October 1, 2025Contact: Professor Ole N. Jensen,Location: University of Southern Denmark Department of Biochemistry and Molecular Biology Campusvej 55, DK-5230 Odense M, DenmarkEmployment shall take place in accordance with the framework agreement between the Ministry of Finance and AC (the Danish Confederation of Professional Associations).Application must include cover letter, CV and certificate. All documents in connection with the application should not contain CPR number (civil registration number) – in that case, the CPR number must be crossed out.All attached files must be in Adobe PDF format. Cover letter and CV can contain max. 5 Mb.We recommend that you read before you apply.The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background.About SDUThe University of Southern Denmark was established to create value for and with society. Whether our contributions come in the form of excellent research, innovative solutions, education or learning, we must make a positive difference to society and contribute to a sustainable future. We do this by cultivating talents and creating the best environments for research and learning. It is therefore crucial that SDU retains, develops and recruits talent. At the same time, we need to ensure consistently high quality in all our activities – and we can only do that with the right people. The University’s researchers, lecturers, students, managers and technical/administrative staff are the foundation of our success.

Oczekiwane wynagrodzenie

Lokalizacja

Odense, Syddanmark

Data pracy

Thu, 26 Jun 2025 03:12:27 GMT

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