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Biostatistics Machine Learning Intern Jobs (NOW HIRING)

Nanite Inc.

Machine Learning Engineer

Boston, MA · On-site

Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug ... The research intern will be in a fast-paced start-up environment playing a crucial technical role ...

Nanite Inc.

Machine Learning Engineer

Boston, MA · On-site

Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug ... The research intern will be in a fast-paced start-up environment playing a crucial technical role ...

dbi

Alterations Intern

Cincinnati, OH · On-site

They will gain an understanding of the retail business by learning and completing skill level ... Gain experience and exposure to hand sewing and machine sewing projects. * Experience the art of ...

PhaseV

Biostatistics Researcher

Cambridge, MA

Support the development of research papers for statistical, machine learning, and medical journals ... PhD in statistics, biostatistics, machine learning, or a related field * Excellent written and ...

dbi

Alterations Intern

Albuquerque, NM

They will gain an understanding of the retail business by learning and completing skill level ... Gain experience and exposure to hand sewing and machine sewing projects. * Experience the art of ...

dbi

Alterations Intern

Scottsdale, AZ

They will gain an understanding of the retail business by learning and completing skill level ... Gain experience and exposure to hand sewing and machine sewing projects. * Experience the art of ...

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Biostatistics Machine Learning Intern information

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$25.5K

$42.6K

$88K

How much do biostatistics machine learning intern jobs pay per year?

As of Jun 7, 2026, the average yearly pay for biostatistics machine learning intern in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Biostatistics Machine Learning Intern, and why are they important?

To thrive as a Biostatistics Machine Learning Intern, you need a strong background in statistics, mathematics, and computer science, usually supported by coursework or a degree in biostatistics, data science, or a related field. Familiarity with programming languages such as R or Python, experience with machine learning frameworks, and knowledge of data analysis tools are typically required. Strong analytical thinking, problem-solving skills, and the ability to communicate complex findings clearly are essential soft skills. These competencies enable effective data-driven research, accurate model development, and clear collaboration within interdisciplinary research teams.

What does a Biostatistics Machine Learning Intern do?

A Biostatistics Machine Learning Intern assists with applying statistical and machine learning techniques to analyze complex biological or medical data. Their role often involves data cleaning, exploratory data analysis, building predictive models, and interpreting results under the supervision of senior data scientists or biostatisticians. Interns may also help in preparing reports or visualizations and contribute to research projects aimed at improving healthcare outcomes. This position is valuable for gaining hands-on experience in both biostatistics and machine learning in a real-world context.

What types of projects do Biostatistics Machine Learning Interns typically work on, and how do they contribute to the larger research team?

Biostatistics Machine Learning Interns often work on projects involving the analysis of complex biomedical datasets, such as clinical trial data or genomic information. Their responsibilities may include developing and validating machine learning models, performing statistical analyses, and interpreting results in collaboration with data scientists and biostatisticians. Interns regularly present findings in team meetings, contribute to research publications, and may help optimize existing pipelines. This collaborative environment provides valuable exposure to interdisciplinary teamwork and can open doors for future roles in research or industry.
Infographic showing various Biostatistics Machine Learning Intern job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Hybrid job distribution, with an average salary of $42,584 per year, or $20.5 per hour.
US 2026 Software - Machine Learning Intern

US 2026 Software - Machine Learning Intern

TetraMem - Accelerate The World

San Jose, CA

$35 - $45/hr

Other

Posted 26 days ago

Job description

About the Role
We are seeking a Software Intern to support the development of tools, frameworks, and applications that enable neural network models to run efficiently on TetraMems novel analog compute-in-memory chips. This is an exciting opportunity to work at the intersection of software, hardware, and artificial intelligence.


Responsibilities
Develop and optimize Python or C++ code for neural network and machine learning model compression, conversion, deployment, and runtime environments
Analyze and adapt ML models for to improve their compatibility and efficiency on compute-in-memory hardware and software
Support software design, development, and performance profiling
Collaborate with AI researchers and hardware engineers to validate system-level functionality
Participate in code reviews, testing, and documentation


Qualifications
Currently pursuing a degree in Computer Science, Electrical Engineering, or related field
Solid programming experience in Python, C++, or similar
Understanding of data structures, algorithms, and software architecture
Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch) is a plus
Strong problem-solving skills and eagerness to learn

Salary Range: $35-45 USD/hr

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