Computational Biologist, Immune Cell Repolarization
About the role
Biohub NY is seeking an accomplished computational biologist to join the “Immune Cell Re-Programming” group. The role involves developing, applying, and evaluating cutting-edge computational and AI methodologies using data from across all research groups.
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.
Requirements
- 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.
- 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.
Qualifications
- 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.
- 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.
Skills
- 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.
- 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.
Benefits
- 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.
Pay
The New York City, NY base pay range for a new hire in this role is $153,000 - $191,000. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process. 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.
Schedule
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. The exact schedule will be at the hiring manager's discretion and communicated during the interview process.