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Bioinformatics Internship Jobs in New York, NY (NOW HIRING)

New York Botanical Garden

Science Intern

New York, NY · On-site

$17/hr

The Science Internship is a part-time and seasonal position during the fall and spring school ... or bioinformatics. This includes working in teams and participation in enrichment activities on ...

Sk Life Science, Inc.

Intern - AI Engineering

Paramus, NJ · On-site

$17 - $22/hr

This internship offers hands-on experience in applying artificial intelligence to real-world R&D ... Bioinformatics, or a related field • Experience with LLMs, agent frameworks, or workflow ...

SK Life Science, Inc.

Intern - AI Engineering

Paramus, NJ

$17 - $22/hr

This internship offers hands-on experience in applying artificial intelligence to real-world R&D ... Bioinformatics, or a related field • Experience with LLMs, agent frameworks, or workflow ...

SK Life Science

Intern - AI Engineering

Paramus, NJ

$17 - $22/hr

This internship offers hands-on experience in applying artificial intelligence to real-world R&D ... Bioinformatics, or computational biology * Prior experience in drug discovery or AI research is a ...

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Bioinformatics Internship information

What is a Bioinformatics Internship job?

A Bioinformatics Internship is a temporary position designed for students or recent graduates to gain hands-on experience in applying computational and statistical techniques to biological data. Interns typically work with large datasets, develop algorithms, analyze genomic sequences, and assist in research projects. They may use programming languages like Python or R and tools such as BLAST or Next-Generation Sequencing technologies. This internship provides valuable exposure to the intersection of biology, data science, and computer science, helping interns develop practical skills for careers in bioinformatics, biotechnology, or computational biology.

What are the key skills and qualifications needed to thrive in the Bioinformatics Internship position, and why are they important?

To thrive as a Bioinformatics Intern, you need a foundational understanding of biology, programming (often in Python or R), statistics, and data analysis, typically gained through coursework or related research experience. Familiarity with bioinformatics tools such as BLAST, genome browsers, and experience with databases like NCBI or Ensembl are commonly expected. Attention to detail, critical thinking, effective communication, and teamwork are valuable soft skills in this field. These qualities enable interns to interpret complex biological data accurately and collaborate efficiently within multidisciplinary research teams.

What are the typical responsibilities of a Bioinformatics Intern during their internship?

As a Bioinformatics Intern, you can expect to assist in analyzing large-scale biological datasets, support data management and curation efforts, and help maintain or develop computational pipelines. You may also contribute to writing reports, creating data visualizations, and presenting your findings to both technical and non-technical team members. Many internships offer opportunities to collaborate with scientists and researchers from different backgrounds, providing a well-rounded, hands-on learning experience. Your daily tasks will vary depending on the project, but there's a strong emphasis on problem-solving and applying computational methods to address biological questions.
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Bioinformatics Internship jobs near you
Infographic showing various Bioinformatics Internship job openings in New York, NY as of May 2026, with employment types broken down into 13% Internship, 3% As Needed, 80% Full Time, 3% Part Time, and 1% Contract. Highlights an 47% Physical, 5% Hybrid, and 48% Remote job distribution.
Intern - AI Engineering

Intern - AI Engineering

SK Life Science, Inc.

Paramus, NJ

$17 - $22/hr

Other

Posted 10 days ago

Job description

Overview

The AI Engineer Intern will support the design and implementation of AI-driven solutions for pharmaceutical and biotech applications, with a focus on drug discovery. This internship offers hands-on experience in applying artificial intelligence to real-world R&D challenges while working alongside experienced scientists and engineers. The intern will gain exposure to the drug discovery process and contribute to projects that explore how AI can improve efficiency and innovation.

Responsibilities

Architect and manage agent-based systems that collaborate to execute drug discovery workflows Coordinate multiple AI agents (e.g., PI, modeling, simulation, optimization, critic) to enable automated discovery Assist in identifying opportunities within drug discovery where AI can enhance processes and outcomes Support the development and implementation of machine learning and deep learning models for research applications Reproduce and evaluate existing AI models and research papers to understand their applicability Help adapt and optimize AI solutions for new use cases within R&D workflows Contribute to building scalable and practical AI tools under guidance from senior team members Stay current with emerging AI trends and technologies and share insights with the team Collaborate with cross-functional teams to understand scientific problems and translate them into AI-driven approaches

Qualifications

Currently pursuing a Bachelor's, Master's or PhD degree in Computer Science, Artificial Intelligence, Data Science, Bioinformatics, or a related field Experience with LLMs, agent frameworks, or workflow orchestration tools (e.g., LangChain, AutoGen, BioNemo, etc.) Familiarity with coding tools (e.g., Codex, Claude Code, etc.) Interest in pharmaceutical or biotech applications, particularly drug discovery

Experience with academic or personal AI/ML projects Exposure to analyzing or reproducing research papers Coursework or projects related to life sciences, bi Strong analytical and problem-solving skills Willingness to learn and adapt in a fast-paced, innovative environment Effective communication and teamwork skills Ability to translate technical concepts into practical applications Bioinformatics, or computational biology Prior experience in drug discovery or AI research is a plus but not required Professional-level English communication skills are preferred

Employment Type: OTHER

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