The Position We are looking for an outstanding data engineer with experience in neuro-imaging data engineering & analysis to help us identify novel therapies for our patients. As a Senior / Principal Scientist in the global Computational Biology and Digital Sciences (gCBDS) department, you will be working in close collaboration with the Computational Biology team as well as the Neuroscience & Mental Health therapeutic area. Our aim is to identify treatments for precision psychiatry and related brain indications using state-of-the-art computational methods to drive patient segmentation, target identification and ultimately delivering novel therapies for our patients. Your role in this mission would be providing the necessary infrastructure for related multimodal data (eg, neuroimaging, transcriptomics, EEG). Embedded in Boehringer Ingelheim's growing gCBDS department, you will have an impact on Research & Development, actively contributing to the discovery of breakthrough therapies that will increase human health. About us: Global Computational Biology and Digital Sciences (gCBDS) Boehringer Ingelheim. You want to dive deeper and discover how we increase human disease insights? Check out our Landing page The Computational Biology Data and Infrastructure (CBDI) group focuses on processing data streams and supporting various therapeutic areas in close collaboration with gCBDS teams. We work in close collaboration with the Genomics Laboratory. The synergy between the two interdisciplinary teams consisting of lab scientists, technicians, data engineers and data scientists ensures that the generated data are of high-quality and Findable, Accessible, Interoperable and Reusable (FAIR principles). As part of our team, you not only contribute to creating maintainable and sustainable data systems and data pipelines but also propose, design and implement the necessary infrastructure to efficiently generate, process and trace standardized data. This position is part time eligible with 80%. Tasks & responsibilities - As a member of the Computational Biology Data and Infrastructure team (CBDI) within our gCBDS department, you will contribute to the generation of standardized and high-quality data assets from sources of neuroimaging & omics data. - In close collaboration the computational biology team and other teams within our department, you will support neuroimaging data enablement and integration, covering the complete data life cycle from conceptual design to ready-to-use data that adhere to FAIR principles. - Since data sources can often be external to the company, you will be responsible for setting the standardization processes to homogenize data quality and formats. - As part of an experienced team, you will take ownership of complex data processing pipelines for imaging and multimodal omics data sources. You bring unique skills on neuroimaging data that enables you to set the path ahead on how to leverage this modality for drug discovery. - You will closely collaborate with different stakeholders to continuously enhance our capabilities for modeling, integrating and processing of data. - Furthermore, you will conceptualize and drive the implementation of scalable innovative software solutions for downstream data analysis and visualizations, based on the needs of users within our department. Additional tasks & responsibilities for Principal Scientist - As Principal Scientist you will conceptualize and drive the implementation of scalable innovative software solutions for downstream data analysis and visualizations, based on the needs of users within our department. - You will be responsible for the stakeholder management of the computational teams and enable close collaboration by fostering positive interactions. - In addition, you will take the lead in large scale projects by proposing innovative solutions & cutting-edge methods to internalized within our infrastructure. Requirements - PhD in Computer Science, Software Engineering, Computational Biology, Data Science, Neuroscience or a related field with several years of relevant experience, preferably in the biotechnology- and / or pharmaceutical industry - Previous experience in the neuroimaging field (either within a company or university lab), with a particular focus on data storage, handling & processing, and pipelining of such data - Robust software engineering skills such as testing, continuous integration and continuous delivery paired with excellent programming skills (Python,R, MatLab) - Profound understanding of data integration concepts such as semantic data integration, data modelling (e.g. ontologies and taxonomies), knowledge graphs and data FAIRification - In-depth experience with neuroimaging tools such as FSL, SPM, or AFNI - Comprehensive knowledge of the acquisition and analysis of physiological signals - Previous in-depth experience with fMRI is a must. Experience with transcriptomics data is highly desirable for this position. Experience with other imaging methods (e.g. PET, fUS) or modalities (EEG, MEG) is desirable - Analytical and innovative mindset with profound problem-solving skills - Excellent command of English (verbally and written) Additional requirements for Principal Scientist - Experience in data infrastructure for imaging and transcriptomics data combined - Hands-on experience with orchestration frameworks for data processing and analysis pipelines, ideally Nextflow - Working experience with SQL and NoSQL databases - Extensive knowledge of data management concepts and experience in distributed systems and cloud computing (AWS) - Project leadership skills - Proven record of large stakeholder management experience Ready to contact us? Please contact our HR Direct Team, Tel: 49 (0) 6132 77-3330. Recruitment process: Step 1: Online application - application deadline is March 29, 2025 Step 2: Virtual meeting in the beginning of April 2025 Step 3: On-site interviews beginning of May 2025 Please submit your application documents in English. Discover our Biberach site: xplorebiberach.com All qualified applicants will receive consideration for employment without regard to a person's actual or perceived race, including natural hairstyles, hair texture and protective hairstyles; color; creed; religion; national origin; age; ancestry; citizenship status, marital status; gender, gender identity or expression; sexual orientation, mental, physical or intellectual disability, veteran status; pregnancy, childbirth or related medical condition; genetic information (including the refusal to submit to genetic testing) or any other class or characteristic protected by applicable law.