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Remote Biomedical Machine Learning Jobs in Wisconsin

$171K - $210K/yr

Data Engineering, Data Science or Machine Learning * Operations, Security and Data Governance ... Employee Resource Groups EEO/VEVRAA #LI-MH2 #LI-Remote

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 ...

This role can be remote in the United States and supports the Motion Drive Products Division in New ... Our Team Dynamics Our teams support each other, collaborate, and never stop learning. Everyone ...

This role can be remote in the United States and supports the Motion Drive Products Division in New ... Our Team Dynamics Our teams support each other, collaborate, and never stop learning. Everyone ...

Senior Product Manager - Payments (Remote)

WI · Remote

$115K - $152K/yr

You will have the opportunity to wear several hats, and you should be comfortable learning new ... Constantly operates a computer and other office productivity machinery, such as a printer/copy ...

New

Optimize our outbound/inbound machine. Define ICP audiences, craft messaging, and iterate based on ... Learning & development budget to invest in your growth * Remote-first culture with the autonomy to ...

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Remote Biomedical Machine Learning information

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 are remote biomedical machine learning jobs?

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 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 Wisconsin? For Remote Biomedical Machine Learning jobs in Wisconsin, the most frequently searched job titles are:
What cities in Wisconsin are hiring for Remote Biomedical Machine Learning jobs? Cities in Wisconsin with the most Remote Biomedical Machine Learning job openings:
Senior Solutions Engineer - Northeast

Senior Solutions Engineer - Northeast

Cloudera

Remote

$171K - $210K/yr

Full-time

PTO

Posted yesterday


Job description

Business Area:

Sales Engineering

Seniority Level:

Mid-Senior level

Job Description:

At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world's largest enterprises.

At Cloudera, our goal is to make everyone feel valued for their contributions to the company's mission. We are looking for smart people who want to do remarkable things. We strive to build an environment of casual intensity where people enjoy coming to work every single day. We are currently seeking a customer-facing, hands-on technologist with a track record of success to join us.

As a Senior Solutions Engineer you will:

  • Own the technical sales process from introductory meetings (net new sales) through post-sales (customer satisfaction, upselling, and subscription renewals)

  • Supporting the technical needs of customers including discovering new use cases for Cloudera's technology

  • Designing solutions for your customers' needs using Cloudera technologies, based on reference architectures and common patterns

  • Demonstrating Cloudera products in a way that inspires your customers to say "yes" to Cloudera

  • Partnering with your Account Managers to show your customers the true value of a Cloudera solution and drive successful sales

  • Presenting product roadmap and vision to inspire your customers to think bigger

  • Interfacing with other Cloudera teams to ensure your customers hear one Cloudera voice

  • Advocating for your customers' needs to Product Management and Engineering

  • Participating in external publicity and evangelism (conferences, meetups, webinars, blogs)

  • Achievements are aligned to a team goal with annual sales targets, as well as to your participation in knowledge exchange with peers and the wider community.

We're excited about you if you have:

  • A passion for using technology to make a difference to people and organizations. We'll supply some amazing tools to help you with this and you'll provide the connection to use cases, which make it real for your customers

  • Bachelor's degree in related field of study or equivalent work experience.

  • A minimum of 8 years experience in a customer-facing role, ideally in a pre-sales context

  • The ability to create and give technical presentations and demonstrations

  • Experience with some of the following technologies:

    • Big Data, Data Warehousing or Relational Databases

    • One or more of the three major cloud service providers (AWS, Azure or GCP). Formal certification is not required, but would be a great thing to have

    • Data Engineering, Data Science or Machine Learning

    • Operations, Security and Data Governance within the enterprise

    • Unix or Linux

  • Experience gathering and understanding customer business requirements

  • Excellent written and verbal communication

  • Problem solving skills

  • A willingness to learn, a curiosity to discover and a drive to make your customers successful

The expected base salary range for this role in

  • New York base salary $171,000 - $210,000

  • Please note that the compensation details listed in our job postings reflect the base salary only, and do not include commissions or bonus as applicable

  • The salary will vary depending on your job-related skills, experience and location

This role is not eligible for immigration sponsorship

(Note: Base Salary Ranges will be calculated from a % of OTE, based on split)

What you can expect from us:

  • Generous PTO Policy

  • Support work life balance with Unplugged Days

  • Flexible WFH Policy

  • Mental & Physical Wellness programs

  • Phone and Internet Reimbursement program

  • Access to Continued Career Development

  • Comprehensive Benefits and Competitive Packages

  • Paid Volunteer Time

  • Employee Resource Groups

EEO/VEVRAA

#LI-MH2

#LI-Remote