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Biotech Ai Internship Jobs (NOW HIRING)

1910

AI Research Scientist I

Boston, MA · On-site

... via internship and co-op (AI, Drug Discovery, etc.) Company : We are the only AI-native biotech pioneering small and large molecule therapeutics discovery by integrating massive multimodal data ...

Brentwood School

BCIL Biotechnology Lead

Los Angeles, CA · On-site

Facilitate internships or research placements at biotech companies, pharmaceutical firms, academic ... Create interdisciplinary projects applying biotechnology to AI/ML, engineering (biomedical devices ...

Partnology

Market Research Intern

San Diego, CA

Experience with AI tools such as ChatGPT, Claude, Perplexity, Gemini, or other research/productivity platforms * Prior internship experience in biotech, healthcare, venture capital, consulting ...

1910

AI Research Scientist I

Boston, MA

Company Overview We are the only AI-native biotech, pioneering small and large molecule ... Relevant industry experience via internship and co-op (AI, Drug Discovery, etc.) #LI-Onsite ...

1910

AI Research Scientist I

Boston, MA · On-site

Company Overview We are the only AI-native biotech, pioneering small and large molecule ... Relevant industry experience via internship and co-op (AI, Drug Discovery, etc.) #LI-Onsite ...

Exactsciences

AI Intern - Co-op Fall 2026

Madison, WI · On-site

$35K - $56K/yr

This 6 month co-op internship offers an exceptional opportunity to gain hands-on experience in applied AI development within the biotech industry and to contribute to projects that have a meaningful ...

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Biotech Ai Internship information

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How much do biotech ai internship jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for biotech ai internship in the United States is $16.65, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $18.51 per hour, depending on experience, location, and employer.

What is a Biotech AI Internship?

A Biotech AI Internship is a temporary position where students or recent graduates gain hands-on experience applying artificial intelligence and machine learning techniques to problems in biotechnology. Interns might work on projects such as analyzing biological data, developing algorithms for drug discovery, or creating predictive models for genomics research. These internships help build practical skills at the intersection of biology and computer science, often under the guidance of experienced researchers or engineers. The experience can be valuable for future careers in biotech, pharmaceuticals, or data science.

What is the difference between Biotech Ai Internship vs Biotech Data Analyst?

AspectBiotech Ai InternshipBiotech Data Analyst
Required CredentialsRelevant coursework, internships, or certifications in biotech or AIDegree in biology, biotech, data science, or related field; experience with data analysis tools
Work EnvironmentResearch labs, biotech companies, AI development teamsData-focused roles in biotech firms, research institutions, or healthcare companies
Employer & Industry UsageInternship programs in biotech and AI companiesFull-time or contract roles in biotech, healthcare, or research sectors

Biotech Ai Internships typically focus on gaining hands-on experience in biotech and AI projects, often as part of an educational program. Biotech Data Analysts, on the other hand, analyze complex biological data to support research and development. While both roles require knowledge of biotech, internships are more entry-level and educational, whereas data analyst roles are more specialized and may require prior experience or a degree.

What types of projects do Biotech AI interns typically work on, and how do they contribute to larger research goals?

Biotech AI interns often engage in projects such as developing machine learning models to analyze biological data, automating data pipelines for genomics or drug discovery, and collaborating with researchers to interpret results. These projects are usually part of multidisciplinary teams where interns apply their coding and analytical skills to support ongoing research or product development. Interns are encouraged to present their findings, contribute to publications, and gain exposure to the broader impact of AI in biotechnology. This hands-on experience not only builds technical expertise but also strengthens teamwork and communication skills essential for career advancement in the field.

What are the key skills and qualifications needed to thrive as a Biotech AI Intern, and why are they important?

To thrive as a Biotech AI Intern, you need a solid background in biology or biotechnology, foundational programming skills (such as Python or R), and familiarity with statistical analysis. Experience with bioinformatics tools, machine learning frameworks (like TensorFlow or Scikit-learn), and data visualization software is highly valuable. Strong problem-solving abilities, adaptability, and effective communication skills help you collaborate with multidisciplinary teams and translate complex data into actionable insights. These competencies are crucial for leveraging AI to address biological challenges and accelerate innovation in the biotech industry.
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Biotech Ai Internship jobs near you

AI Research Scientist I

1910

Boston, MA • On-site

Full-time

Posted 19 days ago

Job description

Job Summary:
1910 is an AI-native biotech company pioneering drug discovery through advanced AI models and automation. As an AI Research Scientist I, you will contribute to drug design campaigns by proposing AI solutions, applying machine learning models, and collaborating with scientific teams while staying updated on cutting-edge research.
Responsibilities:
• Propose and prototype AI and Machine Learning solutions that address use cases in 1910’s design pipeline
• Apply productized AI and Machine Learning models to advance 1910’s active drug design campaigns with the support of senior members of the AI Research Team
• Write and publish peer reviewed scientific articles with the support of senior members of the AI Research Team
• Periodically presenting recent AI research at internal journal clubs
• Learn how a molecule processes through the drug discovery process
• Work cross-functionally with scientific colleagues, being a subject matter expert in how AI and Machine Learning can be used to answer cheminformatics and bioinformatics questions
• Keep up-to-date on cutting-edge research in the AI for drug discovery space
Qualifications:
Required:
• PhD in a relevant discipline (Computer Science, Biology, Chemistry, etc.)
• A strong understanding of statistics and classical machine learning methods (SVM, RF, etc.)
• Experience training and deploying cutting edge deep learning methods (Transformers, Graph Neural Networks, etc.)
• Demonstrated experience writing clean, maintainable, production-quality Python code, with examples available in code repositories.
• Familiarity with MLOps and DevOps best practices
• Exposure to distributed computing (Microsoft Azure, HPC Cluster, etc.)
• Ability to work effectively in a fast-paced startup environment with evolving projects and shifting priorities driven by business needs
• Excellent written and verbal communication skills, including the ability to create clear documentation for roadmaps, proposals, and related materials
Preferred:
• An understanding of how a molecule progresses through the drug discovery process
• Relevant industry experience via internship and co-op (AI, Drug Discovery, etc.)
Company:
We are the only AI-native biotech pioneering small and large molecule therapeutics discovery by integrating massive multimodal data, frontier AI models, and high-throughput lab automation into an infrastructure for AI-enabled drug discovery. Founded in 2018, the company is headquartered in Boston, USA, with a team of 11-50 employees. The company is currently Early Stage.

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