Computational Biologist (m/f/d)

Bruker; United Kingdom; On-site; GBP 35,000 - 50,000; Full time

Job summary

A leading life science company in the UK is seeking a motivated Computational Biologist to join their Technical Support team. This role involves supporting data analysis workflows for spatial biology platforms, responding to customer inquiries, and providing training. Candidates should hold an M.S. or PhD in a relevant field and possess experience with high-dimensional ‘omics datasets. Proficiency in R is required. This position offers a collaborative environment focused on scientific insight and customer success.

Qualifications

• M.S. or PhD preferred; B.S. with 2+ years of relevant experience acceptable.
• Experience with high-dimensional ‘omics datasets is required.
• Ability to clearly communicate scientific findings is essential.

Responsibilities

• Support data analysis workflows for spatial biology platforms.
• Respond to technical inquiries and assist with data quality issues.
• Provide training and troubleshooting support for users.

Skills

Data analysis workflows

Bioinformatics

Statistical methods

Organizational skills

Problem-solving skills

Customer-focused mindset

Interpersonal abilities

Education

M.S. or PhD in Computational Biology, Bioinformatics, Biostatistics

B.S. with 2+ years of relevant experience

Tools

R

Python

Job description

Overview

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.

For more information, please visitwww.bruker.com

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.

Responsibilities

• 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.

Qualifications

• 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.