Bioinformatics analyst (data scientist)

Do you love discovering patterns in data, unraveling complex relationships, and turning numbers into meaningful insights? We are looking for a Data Scientist / Data Analyst / Bioinformatician (f/d/m)
With us, you will work on exciting projects, contribute your own ideas, and develop innovative solutions at the interface of data, technology, and science.
We are a translational research group at the Helmholtz Centre for Infection Research (HZI) in Braunschweig, in cooperation with Hannover Medical School (MHH), as part of the RESIST Cluster of Excellence.
Your Benefits
A full-time position (38.5 hours per week), initially fixed-term until December 31, 2028, with the possibility of extension, at one of the largest employers in Lower Saxony.
Depending on your qualifications, remuneration up to pay grade E13 according to the German public-sector collective agreement (TV-L), including public-sector benefits such as occupational pension schemes and supplementary insurance through VBL.
An exciting role within a translational, multi-site research project in the field of clinical microanalysis. Structured onboarding and integration into a motivated, interdisciplinary team. Opportunities for personal and professional development, supported by a wide range of internal and external training programs, as well as support for scientific career development. Develop and maintain bioinformatics pipelines. Apply statistical modeling and machine-learning methods. Contribute to a translational, multi-site research project in the field of clinical microanalysis. Work in a laboratory environment at the Helmholtz Centre for Infection Research in Braunschweig, the “City of Lions.”

Master's degree or PhD in Biostatistics, Data Science, Machine Learning, Bioinformatics, or a related field. Experience with genomic data (e.g., Strong expertise in exploratory data analysis (EDA) and machine learning. Python, R) and experience working in Linux and high-performance computing (HPC) environments. Knowledge of multi-omics data integration. Excellent written and spoken English. Interest in translational and international research. Experience in advising innovation and technology-transfer projects, including grant proposal development. Die MHH ist zertifizierte familiengerechte Hochschule und setzt sich für die Förderung von Frauen im Berufsleben ein. Bewerbungen von Frauen sind besonders erwünscht. Schwerbehinderte Bewerber:innen werden bei gleicher Qualifiaktion bevorzugt berücksichtigt.