Output Biosciences

Machine Learning Research Scientist, Multimodal

New York, New York, United States

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Not SpecifiedCompensation

Junior (1 to 2 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Biotechnology, Research, AI & Machine LearningIndustries

Requirements

Candidates must hold a Bachelor's degree in Computer Science, Computer Engineering, Mathematics, Physics, or a related technical field, and possess a PhD with 2 years of research experience or equivalent experience with 4 years of research or industry experience in Deep Learning, Artificial Intelligence, or other relevant fields. They should have a strong publication record in top-tier AI conferences or journals such as NeurIPS, ICML, or ICLR, and be proficient in Python with expertise in at least one major deep learning framework like PyTorch, TensorFlow, or JAX.

Responsibilities

As a Machine Learning Research Scientist, you will train and scale innovative multimodal AI models on large, diverse biological datasets across distributed GPU clusters, innovate on cutting-edge machine learning algorithms to enhance model performance and biological understanding, design and conduct experiments to validate model capabilities across various biological phenomena, solve challenging AI research problems at scale, and span various advanced generative AI architectures including transformers, diffusion models, and autoencoders to push the boundaries of biological AI.

Skills

Python

PyTorch

TensorFlow

JAX

Deep Learning

Machine Learning

Transformers

Diffusion Models

Autoencoders

Generative AI

Biological Data

Distributed Computing

GPU Clusters

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.

Key Metrics

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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