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Remote Bioinformatics Machine Learning Jobs in Madison, WI

Data Scientist II

Madison, WI · On-site +1

$80K/yr

It is anticipated that this position will be remote and requires work be performed at an offsite ... machine learning, and data mining Department: School of Medicine and Public Health, Office of ...

Data Scientist II

Madison, WI · On-site +1

$80K/yr

It is anticipated that this position will be remote and requires work be performed at an offsite ... analysis, machine learning, and data mining * Organizes and automates project steps for data ...

Data Scientist II

Madison, WI · On-site +1

$80K/yr

It is anticipated that this position will be remote and requires work be performed at an offsite ... machine learning, and data mining Department: School of Medicine and Public Health, Office of ...

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Remote Bioinformatics Machine Learning information

See Madison, WI salary details

$60K

$95.2K

$150.6K

How much do remote bioinformatics machine learning jobs pay per year?

As of Jul 11, 2026, the average yearly pay for remote bioinformatics machine learning in Madison, WI is $95,195.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,000.00 and $130,500.00 per year, depending on experience, location, and employer.

How do remote bioinformatics machine learning professionals typically collaborate with cross-functional teams?

Remote bioinformatics machine learning professionals often work closely with biologists, data scientists, and software engineers. Collaboration is typically facilitated through virtual meetings, shared code repositories, and project management tools. Regular communication is essential to align on data requirements, model development, and interpretation of results. While remote work offers flexibility, it requires strong organizational skills and proactive engagement to ensure seamless teamwork and project success.

What is a Remote Bioinformatics Machine Learning specialist?

A Remote Bioinformatics Machine Learning specialist is a professional who applies machine learning techniques to biological data, such as genomics or proteomics, while working from a remote location. They analyze complex biological datasets to uncover patterns, make predictions, and contribute to advancements in areas like drug discovery, disease research, and personalized medicine. These specialists typically have strong skills in programming, statistics, biology, and data analysis, and collaborate with researchers and healthcare professionals through digital communication tools.

What are the key skills and qualifications needed to thrive as a Remote Bioinformatics Machine Learning Specialist, and why are they important?

To excel as a Remote Bioinformatics Machine Learning Specialist, a strong background in computational biology, statistics, and machine learning—often supported by an advanced degree in bioinformatics, computer science, or a related field—is essential. Proficiency with programming languages like Python or R, experience using machine learning frameworks (such as TensorFlow or scikit-learn), and familiarity with bioinformatics tools and databases are typically required. Excellent problem-solving, self-motivation, and clear communication skills help professionals collaborate effectively and independently in remote environments. These abilities are vital for developing accurate models, interpreting complex biological data, and contributing meaningful insights to scientific research.

What is the difference between Remote Bioinformatics Machine Learning vs Remote Computational Biologist?

AspectRemote Bioinformatics Machine LearningRemote Computational Biologist
Required CredentialsMaster's or PhD in Bioinformatics, Computer Science, or related fields; experience in machine learningMaster's or PhD in Biology, Bioinformatics, or related fields; strong computational skills
Work EnvironmentRemote, collaborative teams in biotech, pharma, or research institutionsRemote or on-site, working in research labs or academic settings
Industry UsageUsed in biotech, healthcare, and pharmaceutical industries for data analysis and model developmentCommon in academic research, biotech, and healthcare for biological data interpretation

Remote Bioinformatics Machine Learning focuses on developing algorithms and models to analyze biological data using machine learning techniques. In contrast, Remote Computational Biologist applies computational methods to biological research questions, often integrating diverse data types. Both roles require strong computational skills and often overlap, but the former emphasizes machine learning expertise, while the latter has a broader biological research scope.

What are the most commonly searched types of Bioinformatics Machine Learning jobs in Madison, WI? The most popular types of Bioinformatics Machine Learning jobs in Madison, WI are:
What job categories do people searching Remote Bioinformatics Machine Learning jobs in Madison, WI look for? The top searched job categories for Remote Bioinformatics Machine Learning jobs in Madison, WI are:
Clinical Solutions Specialist (West Territory)

Clinical Solutions Specialist (West Territory)

EnsoData

Madison, WI • On-site, Remote

$90K - $100K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 6 days ago


Job description

In short: we're looking for a Clinical Solutions Specialist (hybrid or remote) passionate about making healthcare better. This position offers a salary of $90,000 to $100,000 OTE (base salary plus variable compensation) based on experience, along with stock options, benefits such as paid time off, healthcare insurance, and more.
Hi, I'm Kelsey, the VP of Customer Success at EnsoData! We're excited to announce that we're looking for a new teammate - a Clinical Solutions Specialist passionate about making healthcare better!
The Clinical Solutions Specialist serves as a clinical subject matter expert and customer-facing partner, supporting both pre- and post-sale activities. This role is responsible for delivering high-quality product demonstrations, clinical training, and ongoing solution support to healthcare customers, while closely collaborating with Sales Account Executives to support pipeline development and deal success.
Clinical Demonstrations & Sales Support
  • Deliver compelling, clinically accurate product demonstrations to prospective customers in partnership with Sales Account Executives.
  • Support the sales cycle by addressing clinical workflows, use cases, and outcomes-related questions from clinicians and administrators.

Customer Training & Enablement
  • Conduct clinical onboarding and training sessions (virtual and in-person) for new customers, tailored to specific clinical roles and workflows.
  • Develop and refine clinical training materials, best practices, and enablement resources in collaboration with Product, Customer Success, and Marketing.

Customer Success & Adoption Support
  • Provide ongoing clinical guidance, workflow optimization recommendations, and product usage insights post-implementation.
  • Participate in customer check-ins, QBRs, and feedback loops to capture clinical insights and inform product improvements.

Cross-Functional Collaboration
  • Act as the voice of the clinician internally, providing feedback to Product and Engineering teams on usability, workflow alignment, and feature needs.
  • Support internal enablement by training Sales, Customer Success, and other teams on clinical use cases and product updates.

Compliance & Professional Standards
  • Ensure all customer-facing activities align with regulatory, compliance, and quality requirements applicable to medical devices and SaMD products.
  • Maintain current knowledge of clinical best practices, industry standards, and relevant healthcare regulations.

About EnsoData
EnsoData strives to make healthcare more accurate, efficient, and affordable through waveform artificial intelligence (AI) technology. Using AI and machine learning, our software analyzes billions of data points collected from sensors placed throughout the human body. Our first solution, EnsoSleep, reduces the time clinicians spend analyzing, scoring and managing sleep studies. This results in a simplified and accelerated patient testing, diagnosis, and treatment workflow. Our AI-powered technology has the capability of informing health decisions beyond sleep medicine, from monitoring patient health in the ICU or through wearables, to detecting and capturing seizure data, to providing earlier detection of heart disease, diabetes, stroke, and Alzheimer's.
Here is a little about what we are doing in the world of sleep medicine...
EnsoHST- FDA-Cleared, AI-Powered Sleep Diagnosis Using Pulse Oximeters
EnsoSleep - FDA-Cleared PSG and HSAT Scoring and Study Management
**Here is a link to learn a little about our Celeste app!
Requirements
  • Bachelor's degree in a clinical, scientific, or healthcare-related field preferred, or equivalent work experience
  • 3+ years of relevant clinical, clinical support, clinical applications, or healthcare technology experience.
  • RPSGT Certification (required)
  • Hands-on experience working with clinicians in a hospital, health system, or clinical practice environment.
  • Experience delivering clinical training, product demonstrations, or workflow education to healthcare audiences.
  • Experience supporting sales teams or working in a pre-sales, post-sales, or customer success capacity preferred.

Preferred
  • Located in MST or PST time zones
  • Certified in Clinical Sleep Health (CCSH)
  • Certified Respiratory Therapist - Sleep Disorders Specialty
  • Registered Respiratory Therapist - Sleep Disorders Specialty

Company Culture - Embrace the Pineapple! How do we do this?
Make Healthcare Better - is passionate about moving healthcare to a better place for everyone everywhere
Put Customers First - delights customers by working closely with them to support their initiatives
Be a Great Teammate - spreads the good vibes and is a joy to work with; also understands the value of helping one's teammates
Gets $#!t Done - bias toward action and intrinsically motivated to go above and beyond; demonstrates the ability to work autonomously as well as across teams
We also practice a Focus on Quality and look for teammates who don't cut corners and demonstrate integrity and attention to detail
Benefits
The benefits package includes, but is not limited to, the following:
Hybrid/Remote Company - we are a company with hybrid and remote options. That being said, we have an amazing office headquarters in downtown Madison, WI with views of the capitol that you are welcome to work from at anytime. In case you didn't know, Madison has consistently been ranked as one of the top places to live in the US (businessinsider.com, money.com, livability.com)!
Health, dental, and vision insurance with options to choose a plan that fits you and your dependents needs.
Paid time off options - we want our employees to rest, recharge, and feel better.
Stock options - we want team members to feel ownership in the organization. When EnsoData does well, you do well.
Company Bonus Program - if we do well, we want to reward our team members! This position may include participation in the company bonus program.
401k to help people invest in the future.
Team Summits! We look forward to opportunities to gather in person and enjoy a few days together. We participate in team events and gain some great in-person time. (Hint: check out our blog for info from former team gatherings!)
Interview Process
  1. Submit a resume online and our hiring team will choose those that seem like the best candidates.
  2. We look forward to meeting you face-to-face! A few candidates will be chosen for a video call to get to know each other, discuss your experience, and explain the position in more detail.
  3. Expect an opportunity to show your skills.
  4. The final candidates will have a chance to meet a few people from the team.
  5. Offer!

A note to our sleep community:
We're grateful for the many clinicians, technologists, and sleep professionals who know EnsoData through our customer and industry relationships. We recognize this opportunity may generate significant interest from talented professionals across the sleep community. Our recruiting process is conducted thoughtfully, professionally, and with respect for the important relationships candidates may have with their current organizations. While we sincerely value every application, we may not be able to connect individually with every candidate who expresses interest. Each application will be carefully reviewed, and our team will reach out directly to candidates whose experience most closely aligns with the needs of this role.
Let's talk
EnsoData seeks to recruit, hire, and retain the most talented people from a diverse candidate pool. Research shows that while men apply to jobs when they meet an average of 60% of the criteria, women and other marginalized folks tend to only apply when they check every box. If you think you're a great fit, but don't necessarily check every box on the job description, please still get in touch.
To learn more about our ongoing commitment to diversity, see our updated website here.
Note: this role is based in the continental United States and currently EnsoData is unable to support sponsorships so candidates must be legally eligible to work and reside in the United States now and in the future.
Equal Employment Opportunity
EnsoData is proud to be an Equal Employment Opportunity employer. We do not discriminate against, nor do we tolerate unlawful harassment against, team members or any other covered persons on any basis of race, color, protective hairstyles, national, social, or ethnic origin, gender, pregnancy, childbirth, gender orientation, identity or expression, sexual, relationship, or romantic orientation, marital, civil union or domestic partnership status, family or parental status, age, protected veteran status, arrest record, expunged or sealed convictions, criminal history, source of income, credit history, housing status, physical, mental, or sensory disability, medical condition, genetic information, religion, or any other status protected by the laws or regulations in the locations where we operate.
We value, celebrate, and support diversity, inclusion, and our differences. We are committed to providing a safe work environment and a company culture of mutual respect where equal employment opportunities are available to all applicants and teammates. We seek to recruit, hire, and retain the most talented people from a diverse candidate pool. We strongly encourage women, people of color, LGBTQIA+ individuals, people with disabilities, members of ethnic minorities, intersectional individuals, foreign-born residents, and veterans to apply. We have a deep conviction that diversity and inclusion among our teams, our communities, and our physical and virtual workplaces is vital to the success of EnsoData's mission to improve healthcare access, outcomes, and affordability for patients and communities everywhere globally.
If you are a job seeker applying to EnsoData and you feel that you need to request an accommodation or alternative application, please contact Angela at angela@ensodata.com.