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Biohub · 1 day ago

Computational Biologist, AI/ML

New York, NY

Full-time

Onsite

Entry, Mid Level

$108K/yr - $135K/yr

2+ years exp

Biohub is leading the new era of AI-powered biology to cure or prevent disease through its 501c3 medical research organization. They are seeking an accomplished Computational Biologist to join their interdisciplinary team to develop and evaluate innovative computational methodologies that leverage machine learning and AI to advance biological research and discovery.

BioinformaticsBiotechnologyGenetics

Responsibilities

Contribute to a dynamic, innovative, and collaborative program that aligns with the mission of Biohub

Develop and evaluate cutting-edge computational methodologies using data generated from across all research groups and incorporating relevant available datasets to develop predictive models

Collaborate within an interdisciplinary research environment to develop, test, and validate models

Engage with colleagues throughout the Biohub to uphold our values of scholarly excellence, innovation, open communication, hands-on hacking, and partnership

Communicate progress and results with colleagues inside and outside of your team

Publish and disseminate impactful findings through preprints (medRxiv, bioRxiv) and/or software repositories (e.g., GitHub)

Work with the Biohub team to patent and license technologies resulting from your research

Qualification

Computational BiologyMachine LearningAIApplied StatisticsBiomedical ScienceNeural NetworksOpen Science CommitmentInterpersonal SkillsCommunication SkillsCollaboration

Required

PhD in Computational Biology, AI / Machine learning, Applied Statistics or a MS plus relevant job experience

Background in relevant areas of biomedical science, demonstrating a deep understanding of cellular biology, transcription and protein signal transduction

2-4 years of post-doctoral and/or industry experience demonstrating the ability to implement, evaluate, and create new computational methodologies that leverage machine learning, statistics, and AI for biological research and discovery

Experience in building and evaluating machine learning and/or neural network models on biological data, with a deep understanding of feature selection, regularization, model introspection, and interpretability

Proficiency in using and modifying probabilistic learning or deep learning models such as RNNs, GNNs, protein sequence models, or natural language processing models

Proven track record of individual innovation, as well as a strong ability to work collaboratively

Outstanding interpersonal and communication skills

Demonstrated commitment to open science and alignment with the mission and values of Biohub