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Remote Bioinformatics Machine Learning Jobs in Madison, WI

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 ...

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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 Aug 21, 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.

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?

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.

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 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:

User Experience (UX) Designer

EnsoData

Madison, WI • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 9 days ago


Job description

HI! I'm Dylan, one of the engineering managers at EnsoData and we are looking for another great teammate passionate about Making Healthcare Better. This hybrid position in Madison, WI offers a competitive salary of $135,000 to $145,000 along with bonus program, stock options and generous benefits, including paid time off.

The User Experience (UX) Designer is dedicated to improving customer and developer efficiency in our user interfaces through workflow and visual design. The person in this role will be responsible for understanding the needs of our users and translating these insights into well-designed workflow steps and user screens. You will collaborate with cross-functional teams, including product management, engineering, and marketing, to create user-centered designs for our web and mobile applications. Your expertise will guide the design process from initial research and ideation through to wireframing, prototyping, and usability testing.

Primary Responsibilities include but are not limited to:

  • Conduct user research to identify user workflow needs.
  • Create wireframes, prototypes, and high-fidelity designs for web and mobile applications.
  • Collaborate with customers, product managers and developers to ensure design feasibility and alignment with project goals.
  • Perform usability testing to gather feedback and iterate on designs.
  • Develop and maintain design systems and guidelines that ensure consistency across products.
  • Stay updated with the latest industry trends, tools, and technologies to inform design strategies.
  • Present design concepts and rationale to stakeholders, clearly articulating design decisions.
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

Education and Experience

  • Bachelor's degree in a relevant field such as graphic design, computer science, or marketing
  • Mobile app design
  • User Experience Design certification is a bonus
  • Healthcare technology experience is a bonus
  • Experience using AI tools in a design or product workflow is a bonus

Qualifications

  • 5+ years' experience as a User Experience Designer, Interaction Designer, or similar role, with on-the-job experience or formal education such as a UX design certificate or degree.
  • Portfolio showcasing several user experience projects and design solutions.
  • Proficiency in design and prototyping tools used with React, React Native, and mobile apps, Figma, and the Material UI design library.
  • Experience with user research methodologies, usability testing, and data analysis.
  • Familiarity with HTML, CSS, and JavaScript for close collaboration with developers.
  • Excellent communication skills, with the ability to present and justify design decisions effectively.
  • Strong problem-solving skills and a keen eye for detail.
  • Comfort using AI tools to support research, ideation, UX copy, and documentation in daily design work.

We will give preference to candidates located in WI and in the Midwest US.

We'd love for you to demonstrate:

  • Taste: has a breadth of experience considering how user goals inform workflows in web and mobile applications. Uses a variety of these applications and can use workflows from those apps as metaphor. 
  • Visually Sophisticated: Possesses a keen sense of design aesthetics, with a deep understanding of visual hierarchy, typography, color theory, and composition. Can apply design principles to create clear, effective, and well-designed user interfaces that meet user needs.
  • Communication: Ability to communicate in a remote environment that strives to be diverse and inclusive in addition to clear written and verbal communication.
  • Passionate:  You want to make a positive difference in the global healthcare landscape.
  • AI-Fluent: Thoughtfully incorporates AI tools into the design process to move faster and explore more, while keeping a critical eye on quality, accessibility, and whether the output actually serves the user. Knows when AI is the right lever and when it isn't.

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!

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.