Digbi Health · 5 hours ago

Computer Science Intern

United States

Internship

Remote

Intern/New Grad

Maximize your interview chances

Health Care

Insider Connection @Digbi Health

Discover valuable connections within the company who might provide insights and potential referrals.
Get 3x more responses when you reach out via email instead of LinkedIn.

Responsibilities

AI Model Development: Collaborate with the AI/ML team to design, implement, and optimize machine learning models for predicting and analyzing biological data, such as genomic sequences, microbiome data, and metabolic profiles.

Data Integration: Assist in integrating diverse biological data sources (genomics, microbiomics, clinical, etc.) to create unified data pipelines for AI model training and analysis.

Software Development: Contribute to the development and optimization of algorithms and software tools that process large biological datasets and generate actionable insights.

Data Analysis: Perform exploratory data analysis to identify patterns and trends in biological data, and work with scientists to interpret the findings.

Collaboration: Work closely with cross-functional teams, including bioinformaticians, data scientists, and software engineers, to drive projects from concept to deployment.

Research & Development: Participate in ongoing research to stay up to date with the latest trends in AI, machine learning, and precision biology.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

PythonAI/ML frameworksJavaReactCloud computingAWSGoogle CloudGitBiology understandingGenomics understandingHealthcare data understandingData analysis

Required

Currently pursuing a degree in Computer Science(Bachelor’s or Master’s level).

Strong proficiency in programming languages such as Python, Java, or React.

Experience with AI/ML frameworks and libraries.

Strong problem-solving skills and the ability to analyze and interpret complex datasets.

Excellent written and verbal communication skills to present technical concepts to both technical and non-technical team members.

Ability to collaborate in a fast-paced, dynamic environment and work effectively within interdisciplinary teams.

Preferred

Experience with cloud computing platforms (e.g., AWS, Google Cloud) and version control (e.g., Git) is desirable.

A basic understanding of biology, genomics, and healthcare data is desirable but not required. Willingness to learn about precision biology is essential.