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Phd Software Engineer Jobs in Wisconsin (NOW HIRING)

micro1 AI

Bioinformatics Software Engineer

Madison, WI · Remote

$80 - $110/hr

Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.

Firefly Aerospace

WI · On-site

$120 - $160/hr

Master's degree or PhD in aerospace engineering or related field, or bachelor's degree with ... Software engineering expertise with proficiency in development practices including version control ...

Cadence Design Systems

WI · On-site

$79.66 - $113.80/hr

Mont Saint Guibert, Belgium Reports to: Sr Software Engineering Manager Job Overview As an R&D ... PhD in Engineering, Materials Science, Mechanical Engineering, Applied Mathematics, or a closely ...

New

Firefly Aerospace

WI · On-site

$120 - $160/hr

Master's degree or PhD in aerospace engineering or related field, or bachelor's degree with ... Software engineering expertise with proficiency in development practices including version control ...

Firefly Aerospace

WI · On-site

$100 - $140/hr

In this role, you will develop and tune attitude control software, support hardware-in-the-loop ... Master's degree or PhD in aerospace engineering, mechanical engineering, electrical engineering ...

New

Firefly Aerospace

WI · On-site

$100 - $130/hr

Perform verification and validation of flight dynamics models and software using analytical ... Advanced degree (master's or PhD) in aerospace engineering, physics, mathematics, or related field

New

Faith Technologies Inc

WI · On-site

$120 - $160/hr

... software. * Experience using version control for modeling and simulation (e.g., Git). * PhD in electrical or mechanical engineering with demonstrated simulation experience, or a demonstrated ...

New

HiPEAC

WI · On-site

$69 - $104/hr

Compute System Architecture (CSA) is a center of excellence at imec for hardware-software ... You hold a Master's or PhD in Electrical/Electronics/Computer Engineering/Science or other relevant ...

New

Firefly Aerospace

WI · On-site

$120 - $160/hr

Advanced degree (master's or PhD) in aerospace engineering, physics, mathematics, or related field * Expert-level capability in JPL's MONTE software suite for orbit determination * Software ...

New

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Showing results 21-40

All JobsPhd Software Engineer JobsPhd Software Engineer Jobs in Wisconsin

Phd Software Engineer information

See Wisconsin salary details

$64.1K

$148.9K

$207.4K

How much do phd software engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for phd software engineer in Wisconsin is $148,903.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,100.00 and $174,600.00 per year, depending on experience, location, and employer.

What is a PhD software engineer?

A PhD Software Engineer is a professional who has completed a Doctor of Philosophy (PhD) degree specializing in computer science, software engineering, or a related field, and works in designing, developing, and optimizing software systems. They often engage in advanced research, develop innovative algorithms, and solve complex technical problems. Their expertise is typically utilized in roles that require deep technical knowledge, research skills, and the ability to push the boundaries of current technology. PhD Software Engineers are commonly found in academia, research institutions, and leading technology companies.

What does a PhD software engineer do?

As a PhD Software Engineer, you are often entrusted with tackling complex problems and leading research-driven projects that require advanced analytical and technical skills. Your daily work may involve designing novel algorithms, conducting experiments, and collaborating closely with cross-functional teams such as data scientists and product managers. Additionally, you might mentor junior engineers and help shape the technical direction of your team. This role leverages your research background to bridge the gap between academic innovation and practical software solutions.

What are the key skills and qualifications needed to thrive as a PhD software engineer?

A PhD Software Engineer requires advanced programming expertise, strong analytical and research skills, and typically a doctorate in computer science or a related field. Familiarity with specialized programming languages, version control systems like Git, and experience with research-oriented software tools are common technical requirements. Exceptional problem-solving, collaboration, and communication skills help bridge the gap between research and practical application. These abilities are crucial for driving innovation, translating complex theories into scalable solutions, and contributing to cutting-edge technology projects.

What are popular job titles related to Phd Software Engineer jobs in Wisconsin?

For Phd Software Engineer jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Phd Software Engineer jobs in Wisconsin look for?

The top searched job categories for Phd Software Engineer jobs in Wisconsin are:

Phd Software Engineer jobs near you
Infographic showing various Phd Software Engineer job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 8% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $148,903 per year, or $71.6 per hour.

Bioinformatics Software Engineer

micro1 AI

Madison, WI • Remote

$80 - $110/hr

Part-time

Posted 17 days ago

Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.

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