Associate Computational Scientist (Remote)

Remote

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$65,000 – $85,000Compensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Biotechnology, Artificial Intelligence, HealthcareIndustries

Requirements

Candidates should possess a degree in computer science, computational biology, or a biological field, along with strong Python programming skills. Experience with cloud computing platforms like AWS, hands-on biology laboratory experience, contributions to peer-reviewed publications in computational biology, and knowledge of machine learning techniques applied to biological data are considered bonuses. A proactive problem-solving approach, a mature mindset in ambiguous situations, and excellent communication skills are essential.

Responsibilities

The Associate Computational Scientist will analyze and integrate large-scale biological datasets using advanced computational techniques. Responsibilities include developing and optimizing data processing pipelines to support AI modeling, collaborating with a multidisciplinary team to integrate bioinformatics approaches into the AI platform, and contributing to the improvement of biological data management systems. The role involves building generative foundational models to decode biological systems and directly impacting the development of a biologically-aware AI platform.

Skills

Python

Data Science

Computational Biology

Bioinformatics

Machine Learning

Cloud Computing

Data Management

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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