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Living In Computational Geometry Developer Jobs in Illinois

Senior Bioinformatics Engineer

Chicago, IL ยท On-site

$125K - $200K/yr

Senior Bioinformatics Engineer Compensation: $125K - $200K base + 0.25% - 0.5% equity stock options ... S. /M.S. /PhD in Computational Biology, Bioinformatics or a related field with 3+ yrs industry ...

PhD in bioinformatics, computer science, statistics, computational biology, biomedical engineering or a related quantitative discipline. * Minimum 2 years of experience in developing bioinformatic ...

Computational Biologist

Chicago, IL ยท On-site

$130K - $163K/yr

PhD in bioinformatics, computer science, statistics, computational biology, biomedical engineering or a related quantitative discipline. * Minimum 2 years of experience in developing bioinformatic ...

... software engineers, computational geometry experts, and data scientists. Backed by Crestview ... Headquartered in Itasca, Illinois, we operate across 18 locations in North America, Europe, and ...

... software engineers, computational geometry experts, and data scientists. Backed by Crestview ... Headquartered in Itasca, Illinois, we operate across 18 locations in North America, Europe, and ...

... software engineers, computational geometry experts, and data scientists. Backed by Crestview ... Headquartered in Itasca, Illinois, we operate across 18 locations in North America, Europe, and ...

... software engineers, computational geometry experts, and data scientists. Backed by Crestview ... Headquartered in Itasca, Illinois, we operate across 18 locations in North America, Europe, and ...

... in R, Python, and SQL, and respective packages for computational biology. * Strong understanding of cancer biology. * Strong peer-reviewed publication record. * Adherence to good software engineering ...

Showing results 41-60

Living In Computational Geometry Developer information

What are the key skills and qualifications needed to thrive as a living in computational geometry developer?

To thrive as a Computational Geometry Developer, you need strong mathematical proficiency, particularly in geometry and algorithms, along with a background in computer science or a related field. Familiarity with programming languages such as C++, Python, or Java, and experience using libraries like CGAL or Qhull, are typically required. Analytical thinking, problem-solving skills, and effective teamwork are crucial soft skills in this role. These competencies ensure the accurate development of geometric algorithms and the ability to collaborate on complex technical projects.

What does a living in computational geometry developer do?

A Living In Computational Geometry Developer specializes in designing, analyzing, and implementing algorithms and software that solve complex geometric problems, often in fields such as computer graphics, robotics, CAD, and geographic information systems. Their work involves working with data structures for points, lines, polygons, and other shapes, as well as optimizing computational efficiency for geometric queries and operations. They may also contribute to research, develop visualization tools, and collaborate with engineers and scientists to integrate geometric solutions into real-world applications.

What is the difference between Living In Computational Geometry Developer vs Living In Software Engineer?

AspectLiving In Computational Geometry DeveloperLiving In Software Engineer
Required CredentialsBachelor's or higher in Computer Science, Mathematics, or related field; knowledge of algorithms and geometryBachelor's or higher in Computer Science or related field; programming skills in various languages
Work EnvironmentSpecialized roles in tech, gaming, CAD, or GIS companiesBroad industry roles across tech, finance, healthcare, and more
Employer & Industry UsageUsed in industries requiring geometric computations and spatial dataWidely used across multiple industries for software development
Search & Comparison IntentPeople interested in geometric algorithms and spatial dataPeople exploring general software development careers

Living In Computational Geometry Developer focuses on geometric algorithms and spatial data, often in specialized industries, while Living In Software Engineer has a broader scope across various sectors. Both roles require programming skills and a computer science background, but their applications and industry focus differ.

What kinds of projects do living in computational geometry developers typically work on, and how do these projects impact collaboration with other teams?

Living In Computational Geometry Developers often work on projects involving the development of algorithms and software for modeling, analyzing, and visualizing geometric data. This role requires frequent collaboration with teams such as CAD engineers, simulation experts, and UI/UX designers to ensure that the computational geometry solutions integrate seamlessly with broader product requirements. Developers might also contribute to research initiatives, prototype new features, and optimize existing geometric processing pipelines. Effective communication and teamwork are key, as project success often depends on integrating complex geometry algorithms into multi-disciplinary applications.
What are popular job titles related to Living In Computational Geometry Developer jobs in Illinois? For Living In Computational Geometry Developer jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Living In Computational Geometry Developer jobs in Illinois look for? The top searched job categories for Living In Computational Geometry Developer jobs in Illinois are:
What cities in Illinois are hiring for Living In Computational Geometry Developer jobs? Cities in Illinois with the most Living In Computational Geometry Developer job openings:
Infographic showing various Living In Computational Geometry Developer job openings in Illinois as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution.

Senior Bioinformatics Engineer

BiomeSense

Chicago, IL โ€ข On-site

$125K - $200K/yr

Full-time

Re-posted 18 days ago


Job description

Senior Bioinformatics Engineer
Compensation: $125K – $200K base +  0.25% - 0.5% equity stock options
About BiomeSense
BiomeSense is a life sciences startup applying gut microbiome (GMB) technologies (GutLab, MetaBiome) to advance personalized medicine. We partner with UCSF, UCSD, NIH & the University of Chicago & are backed by LabCorp Ventures, Bluestein Ventures, Seerave Foundation & Emil Capital Partners.
Position
Help build our MetaBiome platform, a software solution for collecting, curating & analyzing longitudinal GMB & health data at scale. Own the infra, pipelines & analytical workflows that turn raw sequencing data into intelligence, with room to grow into a platform leader.
Responsibilities:
  • Bioinformatics Architecture & Infrastructure - design, implement & maintain auditable backend for GMB data from raw shotgun metagenomic sequencing
  • Data Engineering build & maintain cloud infra: databases, distributed computing workflows & REST endpoints for microbial sequence & clinical metadata
  • Statistical Analysis – Lead design, execution & documentation of reproducible computational experiments end-to-end
  • Methods Development Develop & implement novel analytical methodologies & algorithms informed by experimental findings & validated via rigorous evaluation
  • Frontend / Backend Development Design & implement robust data ingestion interfaces leveraging APIs & clinical ontologies, following best practices

Qualifications
Required
  • B.S. /M.S. /PhD in Computational Biology, Bioinformatics or a related field with 3+ yrs industry experience (biotech start-up ideal)
  • Proficiency in Python & JavaScript & experience in production-quality software
  • PostgreSQL or other relational SQL database proficiency
  • Familiarity with clinical ontologies (SNOMED, ICD-11, ATC, LOINC)
  • Familiarity with AWS & best practices in computer security
  • Proficiency with modern frontend web technologies
  • Excellent communication; translates complex scientific concepts to diverse stakeholders
  • Strong ownership mindset & the ability to execute in fast-moving environments
  • Expertise in bioinformatics pipelines, QC & reproducibility

Preferred
  • NGS data experience
  • Familiarity with longitudinal / repeated-measures biological datasets & GMB-specific challenges (compositional data, variability, confounders)
  • Experience integrating ontologies / standardized vocabularies
  • Exposure to cloud infrastructure, workflow orchestration or containerization
  • Interest in AI/ML for large biological datasets

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