1

Bioinformatics Machine Learning Internship Jobs in Boston, MA

... Machine Learning can be used to answer cheminformatics and bioinformatics questions • Keep up-to ... internship and co-op (AI, Drug Discovery, etc.) Company : We are the only AI-native biotech ...

... Machine Learning can be used to answer cheminformatics and bioinformatics questions • Keep up-to ... internship and co-op (AI, Drug Discovery, etc.) Company : We are the only AI-native biotech ...

... Machine Learning can be used to answer cheminformatics and bioinformatics questions • Keep up-to ... internship and co-op (AI, Drug Discovery, etc.) Company : We are the only AI-native biotech ...

... and bioinformatics. Responsibilities : • Propose and prototype AI and Machine Learning solutions that address use cases in 1910's design pipeline • Apply productized AI and Machine Learning ...

Machine Learning Engineer II , AGI Customization

Boston, MA · On-site

$105K - $145K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... strong machine learning background, to build customization capabilities such as fine tuning ... BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ ...

... Machine Learning can be used to answer cheminformatics and bioinformatics questions * Keep up-to ... Relevant industry experience via internship and co-op (AI, Drug Discovery, etc.) #LI-Onsite ...

... Machine Learning can be used to answer cheminformatics and bioinformatics questions * Keep up-to ... Relevant industry experience via internship and co-op (AI, Drug Discovery, etc.) #LI-Onsite ...

Showing results 41-60

Bioinformatics Machine Learning Internship information

See Boston, MA salary details

$27.7K

$46.3K

$95.6K

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

As of Aug 16, 2026, the average yearly pay for bioinformatics machine learning internship in Boston, MA is $46,263.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,300.00 and $50,000.00 per year, depending on experience, location, and employer.

What is a bioinformatics machine learning internship?

A Bioinformatics Machine Learning Internship is a temporary position, usually for students or recent graduates, where interns gain hands-on experience applying machine learning techniques to biological data. Interns may work on projects like analyzing genomic sequences, predicting protein structure, or developing algorithms for biomedical research. The role involves coding, data analysis, and collaborating with scientists to solve real-world biological problems. It offers exposure to both computational methods and biological sciences, preparing interns for careers in bioinformatics, data science, or research.

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

To thrive as a Bioinformatics Machine Learning Intern, you need a solid background in biology, statistics, and computer science, typically supported by relevant coursework or a degree in bioinformatics, computational biology, or a related field. Familiarity with programming languages like Python or R, experience using bioinformatics tools (e.g., BLAST, Bioconductor), and knowledge of machine learning frameworks such as TensorFlow or scikit-learn are highly valued. Attention to detail, problem-solving skills, and effective communication help interns collaborate on interdisciplinary teams and interpret complex datasets. These skills ensure interns can contribute meaningfully to research projects, derive insights from biological data, and communicate findings clearly.

What are some typical projects or tasks a bioinformatics machine learning intern might work on during their internship?

As a Bioinformatics Machine Learning Intern, you'll often contribute to projects that involve developing and testing algorithms for analyzing biological data, such as genomic sequences or protein structures. Typical tasks may include preprocessing large datasets, implementing machine learning models to identify patterns or make predictions, and visualizing results for team discussions. Interns frequently collaborate with both computational scientists and experimental biologists, gaining exposure to interdisciplinary teamwork and real-world applications. This hands-on experience helps interns build both technical and domain-specific skills, preparing them for advanced roles in bioinformatics or data science.

What is the difference between Bioinformatics Machine Learning Internship vs Bioinformatics Data Analyst Internship?

AspectBioinformatics Machine Learning InternshipBioinformatics Data Analyst Internship
Required SkillsProgramming, machine learning, bioinformatics toolsData analysis, statistical skills, bioinformatics tools
Work EnvironmentResearch labs, biotech companies, academic institutionsResearch labs, healthcare, biotech firms
Industry UsageDeveloping algorithms, predictive models in bioinformaticsAnalyzing biological data, generating reports

While both internships involve bioinformatics, the Bioinformatics Machine Learning Internship focuses on developing machine learning models and algorithms, whereas the Bioinformatics Data Analyst Internship emphasizes analyzing biological data and generating insights. Both roles require programming and bioinformatics skills but differ in their core focus and application.

What are the most commonly searched types of Bioinformatics Machine Learning jobs in Boston, MA?

The most popular types of Bioinformatics Machine Learning jobs in Boston, MA are:

What are popular job titles related to Bioinformatics Machine Learning Internship jobs in Boston, MA?

For Bioinformatics Machine Learning Internship jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Bioinformatics Machine Learning Internship jobs in Boston, MA look for?

The top searched job categories for Bioinformatics Machine Learning Internship jobs in Boston, MA are:

Infographic showing various Bioinformatics Machine Learning Internship job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, 1% Temporary, and 3% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $46,263 per year, or $22.2 per hour.

AI Research Scientist I

1910

Boston, MA • On-site

Full-time

Re-posted 21 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.