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Computational Spatial Transcriptomics Jobs in Oregon

$101K - $156K/yr

Overview Computational Biologist - Technical Support, Spatial Biology Bruker Spatial Biology is ... Respond to technical inquiries and assist with data quality issues across transcriptomics and ...

$101K - $156K/yr

Overview Computational Biologist - Technical Support, Spatial Biology Bruker Spatial Biology is ... Respond to technical inquiries and assist with data quality issues across transcriptomics and ...

Computational Spatial Transcriptomics information

What are the key skills and qualifications needed to thrive as a Computational Spatial Transcriptomics Scientist, and why are they important?

To excel in Computational Spatial Transcriptomics, you need a strong background in bioinformatics, genomics, and statistical data analysis, typically supported by advanced degrees in computational biology or related fields. Familiarity with programming languages (such as R and Python), spatial transcriptomics platforms (like 10x Genomics Visium), and high-throughput sequencing data analysis tools is essential. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for interpreting complex datasets and collaborating with multidisciplinary teams. These competencies ensure accurate data interpretation, innovative research, and successful integration of spatial transcriptomics insights into biological and clinical applications.

What are some typical challenges faced when working in computational spatial transcriptomics, and how can new team members prepare for them?

Professionals in computational spatial transcriptomics often encounter challenges related to handling and analyzing large, complex datasets that combine spatial and gene expression information. Integrating data from different technologies and ensuring data quality can be demanding, requiring strong programming skills and familiarity with bioinformatics pipelines. New team members can prepare by strengthening their skills in statistical analysis, programming languages like Python or R, and staying updated on the latest spatial transcriptomics techniques. Collaborating closely with experimental biologists and data scientists is also key to overcoming these challenges and driving successful research outcomes.

What is computational spatial transcriptomics?

Computational spatial transcriptomics is a field that combines advanced computational methods with spatial transcriptomics, a technique that measures gene expression within the physical context of tissue samples. It involves processing and analyzing large datasets to map where specific genes are active within tissues, helping researchers understand how cells interact and function in their native environments. This approach is crucial for studies in developmental biology, cancer research, and neuroscience, as it provides insights into cellular organization and tissue architecture. Computational tools help extract meaningful patterns from complex data, enabling discoveries that were previously impossible with traditional methods.

What is the difference between Computational Spatial Transcriptomics vs Computational Biologist?

AspectComputational Spatial TranscriptomicsComputational Biologist
Required CredentialsAdvanced degrees in bioinformatics, computational biology, or related fields; experience with spatial data analysisTypically a PhD or Master's in biology, bioinformatics, or related disciplines; strong programming skills
Work EnvironmentResearch labs, biotech companies, academic institutions focusing on spatial genomicsResearch institutions, biotech firms, academia working on biological data analysis
Industry UsageSpecialized in spatial transcriptomics techniques and data interpretationBroad biological data analysis across various fields

Computational Spatial Transcriptomics focuses on analyzing spatial gene expression data within tissues, requiring specialized skills in spatial data processing. In contrast, Computational Biologists work on a wider range of biological data types. While both roles involve bioinformatics expertise, the former emphasizes spatial data analysis techniques specific to transcriptomics.

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What cities in Oregon are hiring for Computational Spatial Transcriptomics jobs? Cities in Oregon with the most Computational Spatial Transcriptomics job openings:

$101K - $156K/yr

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Medical, Dental, Life, Retirement, PTO

Posted 15 days ago


Job description

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. 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.

At Bruker, base salary is part of our total compensation. The estimated base salary range for this full-time position is between $101,000 to $156,000  provides an opportunity to progress as you grow and develop within a role.The base salary for the role will depend on a several job-related factors, including, but not limited to education, training, experience, the geographic location of the successful candidate, skills, competencies, job-related knowledge and travel requirements for this position. Full-time employees may also be eligible for a performance-related incentive in addition to a full range of benefits including 401(k) with company match, an employee stock purchase plan, medical and dental plans, life insurance, short-term and long-term disability insurance, employee assistance program and paid time off including vacation, sick time and holidays, and more.

Bruker is an equal-opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.

Certain positions at Bruker require compliance with export control laws and as a result, all interviewed candidates for all positions will be screened pre-interview to determine their eligibility in light of export control restrictions

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Employment Type: OTHER