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Machine Learning Biomedical Internship Jobs in Park Ridge, IL

Prolaio

Data Architect, Clinical

Chicago, IL · On-site

$65.75 - $84.50/hr

... and machine learning use cases by supporting feature generation, retrieval workflows, governed ... Systems, Biomedical Informatics, Engineering, or a related field. • Minimum 10 years of ...

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All JobsMachine Learning Biomedical JobsMachine Learning Biomedical Internship JobsMachine Learning Biomedical Internship Jobs in Park Ridge, IL

Machine Learning Biomedical Internship information

See Park Ridge, IL salary details

$25.1K

$41.9K

$86.6K

How much do machine learning biomedical internship jobs pay per year?

As of Jun 14, 2026, the average yearly pay for machine learning biomedical internship in Park Ridge, IL is $41,902.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,000.00 and $45,300.00 per year, depending on experience, location, and employer.

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.
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What cities near Park Ridge, IL are hiring for Machine Learning Biomedical Internship jobs? Cities near Park Ridge, IL with the most Machine Learning Biomedical Internship job openings:
Machine Learning Biomedical Internship jobs near you
Sr. Data Scientist, Translational Research

Sr. Data Scientist, Translational Research

Tempus

Chicago, IL

Full-time

Posted 2 days ago

Job description

Passionate about precision medicine and advancing the healthcare industry?

Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.

With the advent of genomic sequencing, we can finally decode and process our genetic makeup; however, computer technology has had a limited impact in healthcare. With the expansion of multi-modal healthcare data and recent advancements in AI, that's about to fundamentally change. Tempus is a healthcare technology company at the forefront of that change, leveraging data and technology to improve patient lives.

Lens, Tempus' proprietary data and platform connect an entire ecosystem of real-world data to deliver real-time, actionable insights to researchers. Our data empowers researchers to better characterize and understand disease, and to drive better outcomes through precise, individualized care.

The Scientific and Technical Solutions team is seeking a driven, intellectually curious member to bridge the gap between our cutting-edge analytical platform and the complex research questions of our clients. This role is central to client success and adoption of the Tempus Data and the Lens Platform. You will serve as the primary technical and scientific resource, ensuring our clients can seamlessly integrate their research with our data and platform to derive meaningful, scientific answers.

Key Responsibilities:

  • Client Onboarding & Education: Lead the technical and scientific onboarding process for new clients, ensuring a smooth transition into the Tempus Data Ecosystem and our analytical platform, Lens.

  • Scientific Problem Solving: Engage with clients (primarily researchers and scientists) to deeply understand their specific scientific hypotheses and questions (e.g., biomarker discovery, target identification, clinical trial design).

  • Platform Guidance & Solutioning: Translate the client's scientific needs into actionable steps on the Tempus analytical platform. This includes designing workflows, structuring queries, and guiding the analysis of complex datasets (genomic, clinical, imaging).

  • AI-Assisted Optimization: Leverage LLMs and co-pilot tools to accelerate internal development and create specialized agents that help clients navigate and derive insights from large-scale biomedical data, and make the client experience on the platform as easy, efficient, and intuitive as possible.

  • Feedback Loop: Act as the voice of the client, collaborating closely with Tempus Product, Engineering, and Data Science teams to prioritize features and resolve technical challenges.

  • Documentation & Training: Create high-quality technical documentation, tutorials, and training materials for clients on platform features and best practices for scientific analysis.

Qualifications:

Required Skills & Experience

  • A Master's or Ph.D. in a relevant scientific field (e.g., Computational Biology, Bioinformatics, Genomics, Data Science, or a related life science discipline).

  • Demonstrated experience working with and analyzing large-scale biomedical datasets (e.g., Next-Generation Sequencing data, clinical trial data, real-world data).

  • Experience working with statistical modeling, data mining and/or machine learning methods.

  • Hands-on experience with analytical tools and languages relevant to biomedical research. Must be fluent in Python or R. If Python is the primary language, having some R coding experience is required. Being comfortable in both languages is an added bonus.

  • Experience with software development and the AWS or GCP technical stack

  • Experience with engineering practices for research computing (Docker, Git, Github, Linux, cloud computing).

  • Demonstrated proficiency with AI-assisted development tools (e.g., GitHub Copilot in VS Code) to optimize coding efficiency and troubleshooting.

  • Experience building specialized AI agents or designing workflows that utilize LLMs to solve complex technical problems.

  • Experience putting data science workflows into production.

  • Proven ability to work collaboratively in a team environment and thrive in a fast-paced environment, willing to shift priorities seamlessly.

  • Demonstrated "power-user" proficiency with AI-assisted development tools (e.g., GitHub Copilot in VS Code) to optimize coding efficiency and troubleshooting.

  • Excellent written and verbal communication skills with a proven ability to explain complex technical and scientific concepts to both technical and non-technical audiences.

  • A strong track record of identifying inefficiencies or scientific roadblocks and developing pragmatic, user-friendly solutions.

Preferred (Bonus) Qualifications:

  • Experience in the biotech, pharma, or healthcare technology space.

  • Direct experience with oncology research.

  • Experience with: Pandas, NumPy, SciPy, Scikit-learn, Jupyter Notebooks, RStudio, R Package development, tidyverse, ggplot, Git, matplotlib, seaborn, HTML5, CSS3, JavaScript, D3, Plot.ly, Flask, Dask

$100,000-175,000

The expected salary range above is applicable if the role is performed from California and may vary for other locations (Colorado, Illinois, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position.

Additionally,for remote roles open to individuals in unincorporated Los Angeles - including remote roles-Tempus reasonably believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: engaging positively with customers and other employees; accessing confidential information, including intellectual property, trade secrets, and protected health information; and appropriately handling such information in accordance with legal and ethical standards. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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