Bruker is enabling scientists and engineers to make breakthrough post-genomic discoveries and develop new applications that improve the quality of human life. Bruker’s high performance scientific instruments and high value analytical and diagnostic solutions enable scientists to explore life and materials at molecular, cellular, and microscopic levels. In close cooperation with our customers, Bruker is enabling innovation, improved productivity, and customer success in post-genomic life science molecular and cell biology research, in applied and biopharma applications, in microscopy and nanoanalysis, as well as in industrial and cleantech research, and next-gen semiconductor metrology in support of AI. Bruker offers differentiated, high-value life science and diagnostics systems and solutions in preclinical imaging, clinical phenomics research, proteomics and multiomics, spatial and single-cell biology, functional structural and condensate biology, as well as in clinical microbiology and molecular diagnostics. 

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Bruker Spatial Biology is seeking a motivated Computational Biologist (m/f/d) to join our Technical Support team within Customer Experience. In this role, you will support data analysis for Bruker’s spatial biology platforms. You will assist in resolving customer inquiries, providing resources and tools, and delivering training for internal teams and external users. Working closely with Commercial and R&D teams, you will contribute to successful customer outcomes by helping address data analysis challenges with accuracy and scientific insight.

• Support data analysis workflows and tools for Bruker’s spatial biology platforms.
• Respond to technical inquiries and assist with data quality issues across transcriptomics and proteomics workflows.
• Help implement and maintain analytical workflows for customer spatial ‘omics datasets.
• Provide training and troubleshooting support for internal and external users.
• Assist in interpreting results and linking findings to biological questions and study goals.
• Communicate results clearly to both technical and non-technical audiences.
• Collaborate with research scientists, software developers, and customer-facing teams to resolve challenges.
• Stay informed about emerging tools and methods in spatial omics data analysis.

• M.S. or PhD in Computational Biology, Bioinformatics, Biostatistics, or related field; or B.S. with 2+ years of relevant experience. PhD preferred.
• Experience analyzing high-dimensional ‘omics datasets (e.g., transcriptomics, proteomics) using bioinformatics and statistical methods.
• Proficiency in R; familiarity with Python or other scripting languages is a plus.
• Basic domain knowledge in a relevant biological area (e.g., oncology, immunology).
• Ability to communicate scientific findings to diverse audiences.
• Strong organizational and problem-solving skills.
• Customer-focused mindset with good interpersonal and collaboration abilities.