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Remote Biomedical Machine Learning Jobs in Madison, WI

Data Scientist II

Madison, WI · On-site +1

$80K/yr

... remote and requires work be performed at an offsite, non-campus work location. Key Job ... machine learning, and data mining * Documents approaches to address research questions and ...

Using AI and machine learning, our software analyzes billions of data points collected from sensors ... Ability to work collaboratively in a remote and cross-functional environment Preferred ...

Using AI and machine learning, our software analyzes billions of data points collected from sensors ... Communication: Ability to communicate in a remote environment that strives to be diverse and ...

Remote Biomedical Machine Learning information

See Madison, WI salary details

$15

$28

$39

How much do remote biomedical machine learning jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for remote biomedical machine learning in Madison, WI is $28.74, according to ZipRecruiter salary data. Most workers in this role earn between $24.47 and $32.45 per hour, depending on experience, location, and employer.

What is a remote biomedical machine learning job?

Remote biomedical machine learning jobs involve applying machine learning and artificial intelligence techniques to biomedical data, such as medical images, genetic information, or clinical records, while working from a remote location. Professionals in these roles develop algorithms to assist in disease diagnosis, drug discovery, or patient outcome prediction. These jobs typically require strong programming skills, experience with data science tools, and a background in biomedical sciences or related fields. Remote positions offer flexibility and the ability to collaborate with interdisciplinary teams from anywhere in the world.

What are some unique challenges faced when working remotely as a biomedical machine learning professional, and how can they be addressed?

Remote Biomedical Machine Learning professionals often face challenges related to accessing large and sensitive datasets, ensuring compliance with data privacy regulations, and maintaining effective communication with interdisciplinary teams such as clinicians and researchers. To address these, it's important to become familiar with secure data transfer protocols, collaborate closely with IT and compliance officers, and utilize robust project management and communication tools. Regular virtual meetings and clear documentation can help bridge gaps and ensure alignment on project goals.

What are the key skills and qualifications needed to thrive as a remote biomedical machine learning specialist, and why are they important?

Thriving in Remote Biomedical Machine Learning requires expertise in machine learning, data analysis, and a strong background in biomedical sciences, often supported by an advanced degree in a related field. Proficiency with programming languages such as Python or R, experience with frameworks like TensorFlow or PyTorch, and familiarity with medical data systems are typically necessary. Excellent problem-solving skills, communication abilities, and self-motivation are standout soft skills for remote collaboration and research. These competencies are vital to effectively develop innovative biomedical solutions, ensure data integrity, and drive impactful research in a distributed work environment.

What is the difference between Remote Biomedical Machine Learning vs Remote Biomedical Data Analyst?

AspectRemote Biomedical Machine LearningRemote Biomedical Data Analyst
Required CredentialsMaster's or PhD in Bioinformatics, Data Science, or related fields; experience with ML frameworksBachelor's or Master's in Biology, Data Analysis, or related; proficiency in data visualization and statistical tools
Work EnvironmentCollaborative remote teams, research labs, tech companiesRemote healthcare organizations, research institutions, biotech firms
Employer & Industry UsageTech companies, biotech startups, research institutionsHospitals, healthcare providers, pharmaceutical companies

Remote Biomedical Machine Learning specialists focus on developing algorithms and models to analyze biomedical data, often requiring advanced degrees and programming skills. In contrast, Remote Biomedical Data Analysts interpret and visualize biomedical datasets, typically with a focus on statistical analysis. Both roles are vital in healthcare and biotech industries but differ in technical depth and responsibilities.

What are popular job titles related to Remote Biomedical Machine Learning jobs in Madison, WI?

For Remote Biomedical Machine Learning jobs in Madison, WI, the most frequently searched job titles are:

What cities near Madison, WI are hiring for Remote Biomedical Machine Learning jobs?

Cities near Madison, WI with the most Remote Biomedical Machine Learning job openings:

Clinical Content- Physician (Clinical AI Strategist - UpToDate, M.D.)

Madison, WI • Remote


Wolters Kluwer
Accounting Services • 10K+ employees

9.1

Company rating: 9.1 out of 10

Based on 29 frontline employees who took The Breakroom Quiz

26th of 246 rated software companies

Great coworkers

People enjoy working here

Good employer


Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 18 days ago


Job description

LOCATION: U.S. locations - remote/hybrid (8 days a month in the office). Candidates within commuting distance of a Wolters Kluwer office will be considered for hybrid employment (within 50 miles of an office). Candidates not within commuting distances will be considered for remote employment. Please see eligible locations on the posting.

OVERVIEW

Wolters Kluwer, UpToDate and Lexidrug is seeking experienced clinicians to join our team as Clinical Artificial Intelligence (AI) Strategists. This role is central to advancing the clinical reasoning framework that underpins our next generation of trustworthy, clinically intelligent AI systems. You will work cross-functionally to evolve and operationalize this framework across AI architecture, system validation, and clinical workflows, ensuring outputs remain clinically sound and faithful to our trusted content.

You will help shape the future of clinical decision support by combining deep expertise in clinical reasoning with strong technical fluency and communication skills. Working across Clinical AI, Product, Engineering, Editorial, and Design, you will translate clinical thinking into scalable AI capabilities that meaningfully support patient care.

RESPONSIBILITIES

Clinical AI Strategy & Development (80%-100%)

  • Serve as the clinical lead on our clinical reasoning framework, guiding its continued advancement and application across AI initiatives.
  • Partner with Product, Engineering, Editorial, and AI teams to translate clinical reasoning into scalable AI system capabilities.
  • Define and maintain clinical indices, decision pathways, reasoning frameworks, and evaluation approaches that reflect real-world clinical decision making across specialties.
  • Contribute to clinical validation platform development, including development of clinical test sets, reasoning benchmarks, red teaming protocols, safety evaluations, and ongoing expert review to ensure outputs remain clinically faithful, useful, and meaningful.
  • Translate clinician and customer feedback into improvements in AI system behavior and the continued evolution of the clinical reasoning framework.
  • Serve as a clinical liaison between the Clinical AI team and traditional editorial operations, helping align clinical standards, workflows, and content strategy.
  • Communicate effectively across clinical, technical, and business teams, translating complex clinical concepts into practical system requirements and technical concepts into clinically meaningful guidance.
  • Represent Wolters Kluwer externally through white papers, conference presentations, and thought leadership.

Clinical Practice (optional - up to 20%)

Clinicians may allocate time to maintain active clinical practice, ensuring continued relevance and real-world insight; existing clinical stipend for physician editors will continue to apply.

QUALIFICATIONS

Education

  • MD, DO, PharmD, Advanced Practice Provider, or equivalent clinical degree: M.D. strongly preferred

Experience

  • Minimum 5 years of clinical practice, with demonstrated depth in patient care and breadth across domains such as hospital administration, patient safety, quality improvement, clinical research, medical education, clinical informatics, or publishing.
  • Demonstrated expertise in clinical reasoning as a discipline, including diagnostic reasoning, therapeutic decision making, uncertainty management, and evidence-based clinical decision making, as evidenced by teaching, publication, research, curriculum development, or related scholarly work.
  • Active clinical practice preferred; board certification preferred.
  • Valid medical license in at least one U.S. state preferred.
  • Strong understanding of modern AI technologies, including generative AI and large language models, with the ability to apply clinical expertise to AI development and evaluation. Experience with AI, informatics, machine learning, or digital health innovation is strongly preferred.
  • Excellent written, verbal, and technical communication skills, with the ability to translate clinical reasoning into system logic and communicate effectively with both clinical and technical audiences.
  • Experience working across agile, cross-functional environments, with the ability to build alignment and strong partnerships across clinical, engineering, product, and editorial teams.
  • Comfort with ambiguity and rapid iteration; ability to adapt quickly as AI technologies and organizational priorities evolve.
  • Strategic mindset with the ability to contribute to Clinical AI strategy and influence the evolution of clinical AI capabilities.
  • Leadership experience guiding complex initiatives or multidisciplinary teams is strongly preferred.
  • Experience supporting senior leaders through strategic analysis, written briefings, and cross-functional initiatives is preferred.

TRAVEL: Approximately one week every six weeks for team meetings and collaborative planning.

#LI-Remote

Our Interview Practices

To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we're getting to know you-not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process.

Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.

Compensation:

$173,500.00 - $310,000.00 USDThis role is eligible for Bonus.

Compensation range listed is based on primary location of the position. Actual base salary offer is influenced by a wide array of factors including but not limited to skills, experience and actual hiring location. Your recruiter can share more information about the specific offer for the job location during the hiring process.

Additional Information:

Wolters Kluwer offers a wide variety of competitive benefits and programs to help meet your needs and balance your work and personal life, including but not limited to: Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave. Full details of our benefits are available upon request.


Wolters Kluwer logo

About Wolters Kluwer

Sourced by ZipRecruiter

Wolters Kluwer Global Business Services is designed to provide services to the business units in the areas of technology, sourcing, procurement, legal, finance, and accounting which includes our North American-Accounting Center. These global centers promote team collaboration using best practices around a specific focus area to drive results and enhance operational efficiencies. There is a constant endeavor to benchmark against best-in-class industry standards to improve the quality of deliverables, increase cost savings, enhance productivity, and reduce time to market for products and applications

Industry

Accounting services, library and information services and it services

Company size

10,000+ Employees

Headquarters location

Philadelphia, PA, US


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