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Living In Computational Geometry Developer Jobs in Chicago, IL

... 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 ...

Lead NVH Engineer

Chicago, IL · On-site

$95K - $147K/yr

Job Category Engineering & Science Position Summary The Attribute Engineering Technology and ... Proficiency in computational methods, including Finite Element Analysis (FEA). * Proficiency in ...

Lead NVH Engineer

Chicago, IL · On-site

$95K - $147K/yr

Job Category Engineering & Science Position Summary The Attribute Engineering Technology and ... Proficiency in computational methods, including Finite Element Analysis (FEA). * Proficiency in ...

Designer II

Chicago, IL · On-site +1

$62K - $78K/yr

Some experience in computational design tools such as Grasshopper and Dynamo preferred. * Actively ... At the heart of everything we do is Living-Centered Design, a bold commitment to using our talents ...

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Living In Computational Geometry Developer information

See Chicago, IL salary details

$11.3K

$78.9K

$118.5K

How much do living in computational geometry developer jobs pay per year?

As of Jul 17, 2026, the average yearly pay for living in computational geometry developer in Chicago, IL is $78,888.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,400.00 and $87,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Computational Geometry Developer, and why are they important?

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 Chicago, IL? For Living In Computational Geometry Developer jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Living In Computational Geometry Developer jobs in Chicago, IL look for? The top searched job categories for Living In Computational Geometry Developer jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Living In Computational Geometry Developer jobs? Cities near Chicago, IL with the most Living In Computational Geometry Developer job openings:
Associate Director RWE, PharmaR&D

Associate Director RWE, PharmaR&D

Tempus

Chicago, IL

Full-time

Re-posted 28 days ago


Job description

Passionate about precision medicine and advancing the healthcare industry?

Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.

Associate Director RWE, PharmaR&D

Locations: Boston, MA | New York City, NY | Chicago, IL

Are you passionate about using clinico-genomics to transform cancer therapeutic care?

Tempus is a technology company at the forefront of the expansion of multi-modal healthcare data generation and the application of artificial intelligence (AI) to fundamentally change cancer care. Tempus is growing, and we are seeking exciting new talent to join the team.

Tempus' proprietary platform connects an entire ecosystem of real-world data to deliver real-time, actionable insights to physicians and drug developers. As a Tempus employee you will have access to the world's largest real-world patient clinical data set linked to claims, genetics, and digital pathology. Our data empowers researchers to better characterize and understand disease, and to drive better outcomes through precise, individualized care.

The Associate Director RWE, PharmaR&D, will design, propose and execute research projects for Tempus's top biopharmaceutical partners. This role will require staying up to date in research and industry trends in oncology drug development to identify specific areas where the Tempus platform can provide impact to our partners portfolio. This role involves performing complex computational analyses and guiding algorithm development for advancing cancer precision medicine for patients across the Tempus network. The ideal candidate will possess strong real-world data analytical skills, experience in applying machine learning and statistical models to big data, and the ability to communicate complex findings to various stakeholders.

Job Description:

  • Scientific Communication: Expert in navigating client interactions; Present highly technical results and methods clearly and meaningfully to diverse sets of external stakeholders

  • Real World Data Expertise & Technical Oversight: Lead the derivation of complex real-world endpoints using extensive coding, demonstrating deep comprehension of Tempus clinical and molecular data structures and complexity, while also serving as an expert on the methodological nuances and limitations of real-world data.

  • AI & LLM Innovation: Incorporate LLMs, agentic workflows, foundation models and other AI tools into day-to-day workflows to accelerate code development, discovery, documentation, review, and insight generation.

  • Collaboration: Work with Research, Engineering & Data Science teams across Tempus' expansive data science community to develop and deliver innovative computational solutions.

  • Drug R&D: Partner with big pharma clients. Become proficient in the clients' strategies, drug modalities and pipeline to identify where the Tempus platform can add value.

  • Continuous Improvement: Stay current with industry trends, best practices, and advancements in computational oncology research. Apply this knowledge to enhance research methodologies and improve overall research quality

Qualifications:

  • Education and experience:

    • Experience at a Pharmaceutical company or in a client facing analytical role

    • Advanced education in epidemiology, biostatistics, data science, public health, or related fields, to the level of either:

      • PhD and additional 5+ years of working experience

      • Masters and additional 7+ years of working experience

  • Technical/Scientific Skills:

    • Expert-level proficiency in observational real-world healthcare data, specifically in designing and implementing complex time-to-event methodologies (survival analysis).

    • Track record of leading RWD analytical studies from initial scoping through to publication or dissemination.

    • Proficient 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 practices (version control, documentation).

  • Communication Skills:

    • Expert in navigating client interactions; Present scientific findings clearly and meaningfully to diverse sets of external stakeholders.

    • Excellent written and verbal communication skills, with the ability to present complex information clearly and persuasively to diverse audiences.

  • Motivated: Excel in a dynamic environment, seamlessly adapting to shifting priorities, and self motivated to explore portfolio related opportunities.

Preferred Skillsets/Background:

  • Goal orientation, self motivation, and drive to make a positive impact in healthcare.

  • Previous experience working with large transcriptome and NGS data sets.

  • Proficiency applying machine learning, statistical modeling, LLM-based coding assistants (e.g., Copilot, Cursor) and agentic frameworks to support data analysis.

  • Experience in clinical trial design (particularly Phase II-III) in the clinical development space.

  • Extensive proficiency with claims, EHR, or registry data.

  • High-level familiarity with NCCN guidelines and the ability to interpret real-world outcomes within the context of the current oncology standard of care.

  • Significant experience analyzing biomarker, genomic, or other high-dimensional molecular data alongside clinical datasets.

  • Experience with: Package development, tidyverse, Git, matplotlib, Pandas, Jupyter Notebook

CHI: $155,000-$200,000 USD


NYC/SF: $165,000-$210,000 USD

The expected salary range above is applicable if the role is performed from Illinois and may vary for other locations (California, Colorado, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position.

We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.