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Ai For Science Jobs in Wisconsin (NOW HIRING)

Baylor College of Medicine

WI · On-site

$100 - $150/hr

Establish partnerships across surgery, radiology, cardiology, and computational sciences. * Design and deploy scalable AI pipelines for imaging, clinical, and genomic data. * Lead development of a ...

Urus

Senior AI/ML Engineer

Watertown, WI · On-site

$99K - $136K/yr

... Science, AI/ML or a related field preferred. For the past 40 years we've woken up each day to ... support those that never stop feeding the world - and we have no plans to quit. We set the standard ...

Farm Systems

Senior AI/ML Engineer

Watertown, WI

$99K - $136K/yr

... Science, AI/ML or a related field preferred. For the past 40 years we've woken up each day to ... support those that never stop feeding the world - and we have no plans to quit. We set the standard ...

AgSource

Senior AI/ML Engineer

Watertown, WI · On-site

$99K - $136K/yr

... Science, AI/ML or a related field preferred. For the past 40 years we've woken up each day to ... support those that never stop feeding the world - and we have no plans to quit. We set the standard ...

Urus Group LP

Senior AI/ML Engineer

Watertown, WI · On-site +1

$99K - $136K/yr

... Data Science, AI/ML or a related field preferred. About Us For the past 40 years we've woken up ... each day to support those that never stop feeding the world - and we have no plans to quit. We set ...

micro1 AI

Bioinformatics Software Engineer

Milwaukee, WI · Remote

$80 - $110/hr

Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations. Preferred Qualifications * Advanced expertise ...

micro1 AI

Bioinformatics Software Engineer

Kenosha, WI · Remote

$80 - $110/hr

Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations. Preferred Qualifications * Advanced expertise ...

micro1 AI

Cheminformatics Specialist - Remote

Madison, WI · Remote

$80 - $110/hr

Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations. Preferred Qualifications * Advanced expertise ...

micro1 AI

Bioinformatics Software Engineer

Green Bay, WI · Remote

$80 - $110/hr

Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations. Preferred Qualifications * Advanced expertise ...

micro1 AI

Bioinformatics Software Engineer

Madison, WI · Remote

$80 - $110/hr

Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations. Preferred Qualifications * Advanced expertise ...

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Ai For Science information

What is AI for Science?

AI for Science refers to the application of artificial intelligence and machine learning techniques to accelerate scientific discovery and research. By leveraging large datasets, complex models, and advanced computational methods, AI helps scientists analyze data, identify patterns, simulate experiments, and make predictions across various scientific fields such as biology, chemistry, physics, and climate science. This approach can significantly speed up research, uncover new insights, and solve problems that were previously too complex or time-consuming for traditional methods.

How does collaboration typically work between AI for Science professionals and domain experts in research teams?

AI for Science professionals frequently work closely with experts in fields such as biology, chemistry, or physics to identify scientific problems that can benefit from machine learning techniques. Collaboration usually involves regular meetings to translate complex scientific challenges into data-driven models, sharing domain knowledge, and iteratively refining solutions. Effective communication and a willingness to bridge gaps between computational and scientific perspectives are essential. This interdisciplinary teamwork not only enhances the impact of AI solutions but also fosters ongoing learning and innovation.

What are the key skills and qualifications needed to thrive as an AI for Science specialist, and why are they important?

To thrive as an AI for Science Specialist, you need a strong background in computer science, mathematics, and scientific domains, often supported by advanced degrees (e.g., PhD or MSc) in relevant fields. Proficiency with machine learning frameworks (such as TensorFlow or PyTorch), scientific computing tools, and familiarity with high-performance computing environments are typically required. Critical thinking, interdisciplinary collaboration, and effective communication are crucial soft skills for translating scientific problems into AI solutions. These skills are vital for developing innovative models, ensuring research rigor, and enabling impactful scientific discoveries.

What is the difference between Ai For Science vs Data Scientist?

AspectAi For ScienceData Scientist
Required CredentialsDegree in Science, Computer Science, or related fields; knowledge of AI and machine learningDegree in Statistics, Computer Science, or related fields; strong programming skills
Work EnvironmentResearch labs, scientific institutions, tech companies focused on scientific applicationsCorporate, tech firms, finance, healthcare, and other industries analyzing data
Industry UsageApplied to scientific research, simulations, and experimental data analysisUsed for data analysis, predictive modeling, and business insights

Ai For Science focuses on applying AI techniques to scientific research and experiments, often requiring a background in science and specialized knowledge of AI. Data Scientists analyze large datasets across various industries to extract insights and build models. While both roles involve AI and data analysis, Ai For Science is more research-oriented within scientific contexts, whereas Data Scientists work across diverse sectors on data-driven decision making.

What are popular job titles related to Ai For Science jobs in Wisconsin?

For Ai For Science jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Ai For Science jobs in Wisconsin look for?

The top searched job categories for Ai For Science jobs in Wisconsin are:

What cities in Wisconsin are hiring for Ai For Science jobs?

Cities in Wisconsin with the most Ai For Science job openings:

Ai For Science jobs near you
Infographic showing various Ai For Science job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, and 3% Contract. Highlights an 73% Physical, 4% Hybrid, and 23% Remote job distribution.

Assistant / Associate Professor of Surgery - VITAL Lab (AI & Aortic Surgery Research)

Baylor College of Medicine

WI • On-site

$100 - $150/hr

Other

Posted 5 days ago

Baylor College of Medicine rating

8.0

Company rating: 8.0 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

190th of 621 rated colleges and universities

Job description

Assistant / Associate Professor of Surgery – VITAL Lab (AI & Aortic Surgery Research)

Work Arrangement: Location: Houston, TX. Salary Range: FLSA Status: Exempt.

Overview

Baylor College of Medicine is seeking an exceptional PhD-level AI researcher to serve as a founding leader of the Vascular Intelligence for Translational AI & Learning (VITAL) Lab – a newly funded $14M initiative focused on transforming aortic surgery through advanced artificial intelligence, data science, and translational research.

This individual will be responsible for building the VITAL Lab from inception, establishing a state‑of‑the‑art research infrastructure, and leading the development of innovative AI‑enabled solutions to improve diagnosis, procedural planning, and outcomes in aortic disease.

The ideal candidate will combine deep technical expertise in AI delivery (computer vision, machine learning, multimodal data) with demonstrated experience in clinical research—preferably in cardiovascular, aortic surgery domains.

Job Duties
  • Lead the end‑to‑end buildout of the VITAL Lab, including infrastructure, governance, and research roadmap.
  • Develop a world‑class AI research ecosystem aligned with Baylor Medicine's strategic priorities in vascular and aortic care.
  • Oversee utilization of a $14M grant portfolio, ensuring execution against milestones, deliverables, and reporting requirements.
  • Establish partnerships across surgery, radiology, cardiology, and computational sciences.
  • Design and deploy scalable AI pipelines for imaging, clinical, and genomic data.
  • Lead development of a large‑scale, high‑quality aortic research database (imaging repository, clinical registry, biobank integration).
  • Implement machine learning, deep learning, and computer vision models for:
    • Aortic disease detection and classification.
    • Surgical planning and simulation, including digital twin creation and computational fluid dynamic analysis.
    • Outcomes prediction and risk stratification.
  • Drive AI model deployment and real‑world clinical integration.
  • Lead high‑impact peer‑reviewed publications in top‑tier journals.
  • Develop and submit extramural grant proposals (NIH, NSF, DoD, industry partnerships).
  • Present research at national and international conferences.
  • Establish the VITAL Lab as a global leader in AI‑driven aortic surgery research.
  • Collaborate closely with vascular and aortic surgeons to translate clinical needs into AI solutions.
  • Integrate AI tools into clinical workflows and surgical decision‑making.
  • Support the development of next‑generation clinical trials leveraging AI insights.
  • Mentor trainees including PhD students, residents, fellows, and research staff.
  • Develop educational programming in AI for surgery and translational data science.
Minimum Qualifications
  • PhD in Computer Science, Biomedical Engineering, Data Science, or related field.
  • Demonstrated expertise in machine learning, deep learning, and AI system development.
  • Proven track record of peer‑reviewed publications and research impact.
  • Experience building or contributing to large‑scale research datasets or platforms.
Preferred Qualifications
  • Prior experience in cardiovascular disease research.
  • Experience working in academic medical centers or translational research environments.
  • Demonstrated success in AI deployment.
  • Experience managing large research programs, labs, or grant‑funded initiatives.
  • Proficiency in medical imaging analysis (CT, MRI, 3D reconstruction).
  • Familiarity with regulatory frameworks (HIPAA, data governance, IRB).

Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.

Requisition ID: 25515

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