Computational Biologist, Immune Cell Repolarization

Biohub integrates frontier AI models, biological foundation models, and experimental capabilities to accelerate scientific discovery and disease research. Biohub NY is seeking a computational biologist to develop, evaluate, and publish machine learning, statistical, and multi-omics methodologies for studying tumor-immune-stromal interactions and reprogramming immune cells. The role involves interdisciplinary collaboration, communicating research findings, and supporting patenting and licensing of resulting technologies.

Responsibilities

• Contribute to a dynamic, innovative, and collaborative program that aligns with the mission of Biohub NY
• Develop, apply, and evaluate cutting-edge computational / AI methodologies using data generated from across all research groups and incorporating relevant available datasets to develop mechanistic models of tumor-immune-stromal crosstalk
• 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

Benefits

• This position may be eligible to participate in our discretionary annual performance bonus program. Bonus eligibility and targets are determined in accordance with our total rewards philosophy and may vary by role.
• This role is a hybrid position requiring you to be onsite for at least 60% of the working month, approximately 3 days a week, with specific in-office days determined by the team’s manager.
• Provides a generous employer match on employee 401(k) contributions to support planning for the future.
• Paid time off to volunteer at an organization of your choice.
• Funding for select family-forming benefits.
• Relocation support for employees who need assistance moving

Company

• AI-powered biology technology for disease research and treatment
• Redwood City, California, USA
• https://www.czbiohub.org/
• Founded in 2015
• 201-500 employees

Qualifications

• PhD in Systems Biology, AI / Machine learning, Statistics or MS plus relevant job experience
• 1-2 years of relevant biomedical science experience, demonstrating a deep understanding of cellular biology, transcription and protein signal transduction
• 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 programming in R and Python
• 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
• 1-2 years of relevant biomedical science experience, demonstrating a deep understanding of cellular biology, transcription and protein signal transduction.

Required skills

• Cellular Biology, Deep Learning, Feature Selection, Machine Learning, Model Interpretability, Multi-Omics, Neural Network Models, Probabilistic Learning Models, Protein Signal Transduction, Python, R, Transcriptomic Data Analysis

Experience

• 1-2 years