Machine learning engineer Jobs in Dornburg-Camburg

The research group Microbiome Dynamics invites talented and highly gifted candidates to apply asSoftware Engineer (m / f / div)The research group Microbiome Dynamics (MDB) is seeking a highly skilled software engineer with a keen eye and interest in solving exciting life science problems. Given the high demand for big data analysis applications in the life sciences, our demand for hardware and software solutions towards efficient, high-performance computation increases constantly. In the recent past, we significantly upgraded our computer hardware to match our current demands. On top of that, we reach out to the community whenever possible and encapsulate our services into pipelines and web applications. Both our hardware and software require constant monitoring and maintenance.To ensure the fulfilment of our goals, we welcome applications from software and IT specialists with the following expertise : Your profile : University degree in computer science, bioinformatics, or a comparable fieldExperience in accessing server units through command-line, as well as developing / maintaining analysis pipelines in containerized environments, is a mustProficiency in R and / or Python for pipeline and web application development, as well as big data analysisInterest in life science data science, including gene expression and microbiome data analysis, is a plusKnowledge of statistical methods in the context of biological systems is a plusYour tasks : In collaboration with our team, the tasks to be addressed by the software engineer comprise : Web app development and maintenanceCuration of pipelines dedicated to efficient, high-throughput data preprocessing and analysisCluster management / server administrationDistributed computing / software scaling towards grid enginesMonitoring / work load surveillance of our HPCsWe offer : The software engineer will be hosted in the research group Microbiome Dynamics (MBD) of Prof. Dr. Gianni Panagiotou of the Leibniz-HKI in an international, dynamic team with access to state-of-the-art computational resources.Remuneration will be according to the TV-L (Collective Agreement for the Public Service of the Federal States, unrestricted, full-time) at the salary level E10. Depending on qualifications, adjustments are possible. As an equal opportunity employer, the Leibniz-HKI is committed to increasing the percentage of female scientists and therefore especially encourages them to apply.For further information : Prof. Dr. Gianni Panagiotou | +49 3641 532-1759 | [email protected] : Leibniz-HKI is proud to be an equal opportunity employer and promote diversity and inclusion in the workplace. It aims to increase the proportion of underrepresented groups in case of equal suitability. All qualified persons, regardless of color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other classification protected by law will receive consideration for employment.Complete applications in English should include a cover letter, a CV containing a complete list of publications, a brief statement of research experiences, and the addresses of two possible referees and should be submitted via the Leibniz-HKI online application system. The deadline for the advertisement is February 28, 2025, but applications will be reviewed on a rolling basis.Leibniz Institute for Natural Product Research and Infection BiologyAdolf-Reichwein-Straße 23 | 07745 Jena