Staff Data Scientist/Steward or Software Developer to facilitate the development of ProteomicsDB

Staff Data Scientist/Steward or Software Developer (f/m/d) to facilitate the development of ProteomicsDB with a good background in bioinformatics, data visualization, big data analytics at best in the context of mass spectrometry.

ProteomicsDB (https://www.proteomicsdb.org/) is an internationally well-reputed publicly available database that provides information about proteins and other bio-molecules initially centered around human biology. It is designed to integrate data from mass spectrometry-based experiments and other sources to offer a comprehensive view of proteomes. We (https://www.mls.ls.tum.de/en/compms/home/) are continuously expanding the types of data stored in as well as the number of organisms covered. Researchers and scientists can use ProteomicsDB to explore and analyze protein-related data for a better understanding of cellular processes, functions, and disease mechanisms. ProteomicsDB is built on the in-memory system SAP HANA using IBM Power 8/9 hardware.

The successful candidate will become a key member of a strong interdisciplinary team of bioinformatician that focus on the development and application of novel approaches in proteomic research. Specifically, the successful applicant will assist the recently funded NHPig (https://www.nhpig.eu/) project, an EU-funded research project aimed at transforming non-clinical safety assessment by use of mini- and micropig models. Depending on the applicant’s skills, this position will strengthen our ongoing development of ProteomicsDB focusing on the backend or frontend development in combination with data management. In light of this, the most important aspects of the job description are:

• Service engineering and infrastructure maintenance for ProteomicsDB
• Full-stack development to enhance ProteomicsDB
• Data import, maintenance, and integration of e.g. proteomics, lipidomics, or metabolomics data, The position is initially limited until December 2028 and available as soon as possible. Remuneration is in accordance with the TV-L E13 according to the professional qualification.

Requirements: Candidates must hold a master’s degree in Data Engineering, Data Science, Bioinformatics, Informatics, or a related discipline. Essential skills include a sound understanding of Linux and related systems, software development standards, and hardware management. Additional beneficial skills include a theoretical knowledge of and practical skills in statistical analysis, data integration, backend or frontend programming and database design. Interest in understanding technologies e.g. proteomics and metabolomics using mass spectrometers is expected. We are looking for a self-motivated and broadly interested individual with high potential and a strong sense of responsibility. Flexibility and the ability to work in a fast-paced environment on multiple scientific and infrastructure projects are essential. Good inter-cultural and inter-personal communication skills as well as the ability to present in English are also important.

Our offer: You will join a young and highly motivated team of interdisciplinary bioinformaticians that use the latest proteomic approaches to gain insight into the biological processes that govern life. You will further be connected to the Munich Data Science Institute (MDSI; https://www.mdsi.tum.de/mdsi) at the Technical University of Munich (TUM) to foster and facilitate exchange. You will also be connected to the SAP University Competence Center (UCC; https://ucc.tum.de/) at the TUM to assist in the hardware/software maintenance of ProteomicsDB, with the option to receive a proof of work with SAP HANA. TUM is one of the best academic institutions in Germany and offers a stimulating work environment and excellent future perspectives.