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Machine Learning Biomedical Internship Jobs in Utah

Filevine

Legal Research - Internship

Salt Lake City, UT · On-site +1

... machine learning systems extract from published legal materials. This role is ideal for law ... Why Complete An Internship at Filevine? * Gain hands-on experience working at the intersection of ...

Filevine

Legal Research - Internship

Salt Lake City, UT · On-site

... machine learning systems extract from published legal materials. This role is ideal for law ... Why Complete An Internship at Filevine? * Gain hands-on experience working at the intersection of ...

Namify

Project Coordinator Intern

Springville, UT · On-site

$18/hr

Job Type Full-time, Internship Description ABOUT US : Namify is in the business of belonging. For ... Comfortable learning new software and technologies. * Basic computer proficiency, including ...

Williams International

Intern - Machining

Ogden, UT · On-site

$13.94/hr

Our culture fosters creativity, collaboration, and continuous learning to position our team members ... Interns are required to maintain 20 hours per week and a progress rate of 67% at one of the Utah ...

Williams International

Intern - Machining

Ogden, UT

$13.94/hr

Our culture fosters creativity, collaboration, and continuous learning to position our team members ... Interns are required to maintain 20 hours per week and a progress rate of 67% at one of the Utah ...

Williams International

Intern - Machining

Ogden, UT · On-site

$13.94/hr

Our culture fosters creativity, collaboration, and continuous learning to position our team members ... Interns are required to maintain 20 hours per week and a progress rate of 67% at one of the Utah ...

Williams International

Intern - Machining

Ogden, UT · On-site

$13.94/hr

Our culture fosters creativity, collaboration, and continuous learning to position our team members ... Interns are required to maintain 20 hours per week and a progress rate of 67% at one of the Utah ...

Williams International

Intern - Machining

Ogden, UT · On-site

$13.94/hr

Our culture fosters creativity, collaboration, and continuous learning to position our team members ... Interns are required to maintain 20 hours per week and a progress rate of 67% at one of the Utah ...

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Machine Learning Biomedical Internship information

What is a machine learning biomedical internship?

A Machine Learning Biomedical Internship is a temporary position where students or recent graduates work with professionals to apply machine learning techniques in the biomedical field. Interns typically assist with data analysis, model development, and research projects that involve biological or medical data. The goal is to gain practical experience in using artificial intelligence to solve healthcare challenges, such as disease prediction, medical imaging, or drug discovery. These internships often require knowledge of programming languages like Python and familiarity with machine learning frameworks. They provide valuable hands-on experience and networking opportunities for those interested in biomedical data science careers.

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

To excel as a Machine Learning Biomedical Intern, you need a solid background in computer science, statistics, and biology, often supported by coursework or a degree in related fields. Familiarity with programming languages like Python or R, experience with machine learning libraries (such as TensorFlow or scikit-learn), and knowledge of data analysis tools are typically required. Strong problem-solving skills, attention to detail, and the ability to communicate complex technical concepts clearly are crucial soft skills. These competencies enable interns to develop effective models, collaborate with multidisciplinary teams, and contribute meaningful insights to biomedical research projects.

What types of projects do interns typically work on during a machine learning biomedical internship?

Interns in Machine Learning Biomedical roles often contribute to projects involving the development and validation of algorithms for analyzing medical data, such as imaging, genomics, or electronic health records. They may assist with data preprocessing, model training, and performance evaluation under the guidance of experienced researchers or engineers. Collaboration is common, as interns often work closely with interdisciplinary teams including data scientists, clinicians, and software engineers. This hands-on experience provides valuable exposure to real-world biomedical challenges while strengthening both technical and communication skills.
What are popular job titles related to Machine Learning Biomedical Internship jobs in Utah? For Machine Learning Biomedical Internship jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Machine Learning Biomedical Internship jobs in Utah look for? The top searched job categories for Machine Learning Biomedical Internship jobs in Utah are:
What cities in Utah are hiring for Machine Learning Biomedical Internship jobs? Cities in Utah with the most Machine Learning Biomedical Internship job openings:
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Legal Research - Internship

Filevine

Salt Lake City, UT • On-site, Remote

Full-time, Part-time, Internship

Medical, Dental, Vision

Re-posted 15 days ago

Job description

Filevine is a Legal AI company delivering Legal Operating Intelligence for the future of legal work. Grounded in a singular system of truth, Filevine brings together data, documents, workflows, and teams into one unified platform-where modern legal work happens with clarity and consistency.
 
Powered by LOIS, the Legal Operating Intelligence System, Filevine connects context across every matter to transform legal operations from reactive to proactive. LOIS reads, understands, and reasons across your data to surface insight, automate complexity, and give professionals the clarity and confidence to see more, know more, and do more. Fueled by a team of exceptional collaborators and innovators, Filevine's rapid growth has earned AI awards and recognition from Deloitte and Inc. as one of the most innovative and fastest-growing technology companies in the country.

Role Summary:
 
Filevine is developing new AI-powered tools for the legal industry. As part of this effort, we need people with real legal research training to review and validate data that our machine learning systems extract from published legal materials.
 
This role is ideal for law students who enjoy close reading of judicial opinions and legal analysis, and who are curious about how AI is being applied to legal practice. 
Role Details
  • Role Details Position:  Part-Time Legal Research Intern 
  • Location:  Nationwide, current student at any accredited law school in the US, open to in-office or remote flexibility
  • Hours:  10-20 hours per week (flexible around class schedules) 
  • Eligibility:  2L and 3L students
Responsibilities
  • Read and analyze published judicial opinions across state and federal jurisdictions. 
  • Review outputs generated by AI systems and verify their accuracy against the source legal materials. 
  • Apply your legal research training to identify errors, ambiguities, or edge cases in automated outputs. 
  • Collaborate with legal researchers and ML engineers to improve data quality over time.
Qualifications
  • Currently enrolled as a 2L or 3L at the University of Utah S.J. Quinney College of Law or BYU J. Reuben Clark Law School
  • Completion of at least the 1L curriculum, including legal research and writing. 
  • Enjoy reading and analyzing judicial opinions, statutes, and other legal authorities. 
  • Strong attention to detail and familiarity with legal writing. Interest in legal technology or AI.
Why Complete An Internship at Filevine?
  • Gain hands-on experience working at the intersection of AI and law (which, in our view, is a meaningful differentiator in a changing legal market!) 
  • Apply your legal training to real-world problems that will shape how attorneys work with technology. 
  • Work alongside experienced legal researchers and ML engineers on a cross-functional, international team. 
  • Flexible, part-time schedule designed to work around law school commitments. 
Filevine is an Equal Opportunity Employer. Qualifications for employment, promotion and other terms and conditions of employment are based upon the ability to perform the job. Equal-employment opportunities are provided to all applicants and employees without regard to race, creed, religion, color, age, national origin, sex, disability, veteran status, or other legally protected class. Filevine is committed to providing reasonable accommodations for qualified individuals with disabilities. If you need assistance or accommodation due to disability, or if you have concerns related to Filevine's equal employment opportunities, you may contact us at [email protected]
 
Cool Company Benefits:
- A dynamic, rapidly growing company, focused on helping organizations thrive 
- Medical, Dental, & Vision Insurance (for full-time employees)
- Competitive & Fair Pay
- Maternity & paternity leave (for full-time employees)
- Short & long-term disability
- Opportunity to learn from a dedicated leadership team
- Top-of-the-line company swag
 
Privacy Policy Notice
Filevine will handle your personal information according to what's outlined in our Privacy Policy.
 
Communication about this opportunity, or any open role at Filevine, will only come from representatives with email addresses using "filevine.com". Other addresses reaching out are not affiliated with Filevine and should not be responded to.
 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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