Computational Biology Intern

New York, New York, United States

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Not SpecifiedCompensation

InternshipExperience Level

Full TimeJob Type

UnknownVisa

Biotechnology, AI & Machine LearningIndustries

Requirements

Candidates should possess a degree in a biological field and demonstrate strong programming skills in Python, along with excellent problem-solving abilities and attention to detail. A proactive approach to problem-solving, including the ability to think beyond specific tasks and take ownership of challenges, is also required. Maturity in ambiguous situations and clear communication skills are essential, as is a passion for using data science to unlock the secrets of biology.

Responsibilities

The Computational Biology Intern will analyze the biological reasoning capabilities of AI models, design and create biological tasks to evaluate foundational models, analyze and integrate large-scale biological datasets using cutting-edge computational techniques, develop and optimize data processing pipelines, collaborate with a multidisciplinary team to integrate bioinformatics approaches into an AI platform, and contribute to the improvement of biological data management systems. This role will directly impact the development of a biologically-aware AI platform, transforming the landscape of medicine.

Skills

Python

Data Science

Bioinformatics

Problem-Solving

Communication

Output Biosciences

Develops preventative therapies for chronic diseases

About Output Biosciences

Output Biosciences focuses on developing preventative therapies aimed at extending human healthspan by addressing chronic diseases such as diabetes and heart disease. The company combines biotechnology with artificial intelligence to create therapies that can be discovered and manufactured more quickly and safely than traditional methods. This allows them to bring new treatments to market in just a few months, which is much faster than the usual drug development process. Their main clients include healthcare providers, pharmaceutical companies, and research institutions seeking effective solutions for chronic disease management. Output Biosciences differentiates itself by leveraging computational biology to streamline therapy development and commercialization, generating revenue through partnerships and licensing. The goal of Output Biosciences is to fundamentally change healthcare by preventing chronic diseases before they occur.

New York City, New YorkHeadquarters

2020Year Founded

$125KTotal Funding

PRE_SEEDCompany Stage

AI & Machine Learning, Biotechnology, HealthcareIndustries

1-10Employees

Risks

Increased competition from AI-driven biotech startups threatens market share.

Regulatory scrutiny on AI applications may delay approval processes.

Rapid technological advancements may render current methods obsolete without continuous innovation.

Differentiation

Output Biosciences integrates AI and computational biology for rapid therapy development.

The company focuses on preventative therapeutics to extend human healthspan.

Output Biosciences accelerates drug development timelines, bringing therapies to market in months.

Upsides

Growing interest in AI-driven drug discovery boosts investment and partnerships.

Rise of personalized medicine creates opportunities for tailored AI-integrated therapies.

FDA's acceptance of AI-driven drug development enables faster regulatory pathways.

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