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Computational Biologist

Bruker - Remote, UNAVAILABLE, US

Posted Jun 10, 2026

Benefits

Parental leave
Not verified
Non-birth-parent leave
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Family-building benefits
  • Fertility benefits: Not verified
  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
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Relocation assistance
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Childcare support
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Learning budget
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Verification
Not verified checked Jun 7, 2026
Salary
$101K-$156K From the posting source
401(k) match
Reported from DOL Form 5500 industry filing (not employer-specific)

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Role

Seniority
Mid From the posting source
Work mode
Remote From the posting source
In-office days
0 days From the posting source

Schedule

Shift type
Not verified
Weekend work
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Company

Equity
Offered Verified - SEC 10-K source

Application

Cover letter
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Assessment
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Deadline
Not stated

Where they hire

State eligibility is not yet verified.

About this role

Computational Biologist Remote, UNAVAILABLE, US Overview Computational Biologist - Technical Support, Spatial Biology Bruker Spatial Biology is seeking a motivated Computational Biologist 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 Essential 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 Qualifications: S. or PhD in Computational Biology, Bioinformatics, Biostatistics, or related field; or B.S. w

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