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Job Description
Altos Labs is seeking a highly motivated and independent Computational Biology Scientist to join the Institute of Computation (IoC). This role involves building, maintaining, and supporting Altos Labs' hybrid AI initiative focused on modeling cellular processes. The scientist will work in a multi-disciplinary research environment, assisting investigators in algorithm development and implementation across the software development life cycle. The ideal candidate will possess strong communication skills, a growth mindset, and a passion for scientific discovery, with a particular interest in applying AI methods and mathematical models to understand mechanistic aspects of cellular processes.
Responsibilities:
- Contribute to modeling, simulation, and analysis of mechanistic or data-driven models of biological processes through software development in a highly collaborative environment.
- Explore and develop ML algorithms to solve complex problems and draw conclusions.
- Apply state of the art AI tools to infer and model cellular dynamics from large data sets.
- Design and implement pipelines to mechanistically model cellular processes from model instantiation to simulation, calibration, and analysis.
- Collaborate with other scientists to characterize model behaviors, predictions, refinements, and accelerate the biological knowledge discovery.
- Develop research programs on partial cellular reprogramming, with the intent of closing the feedback loop between experimental and theoretical work, at multiple scales, from molecules to cells, tissues and even whole organisms.
- Work at the interface between mathematical and computational models, and AI methods, with the aim of establishing design principles of rejuvenated cells.
- Collaborate with both experimental and computational scientists across Altos.
- Influence best practices in areas such as Bayesian optimization, causal inference, building and assessing predictive models, analyzing biological networks, and analysis and visualization of -omics data.
- Maintain documentation and keep up-to-date as needed.
- Contribute to software releases (e.g. via GitHub, PyPI, Anaconda, Docker Hub).
Requirements:
- PhD in Biology, Computational Biology, Computer Science, or closely related field with strong emphasis in biological modeling.
- 6+ years of relevant industry and/or academic experience.
- Expertise and a track record of using methods from artificial intelligence for biological design.
- Record of applications of dynamical systems to problems of synthetic biology.
- Record of applications of data driven modeling methods and AI to synthetic biology.
- Demonstrable experience of developing new statistical and machine learning-based methods for analyzing biological data to produce biological insights about cell health and rejuvenation.
- Experience working with mechanistic models (PDE/ODE, SDE, dynamical systems).
- Experience working with state of the art ML tools (transformers, GNN, etc.)
- Experience working with hybrid AI models (e.g., SINDy)
- Working knowledge of cell biology.
- Experience with Python, C, R or related scientific computing languages.
What Altos Labs offers:
- A culture of collaboration and scientific excellence.
- An inclusive and belonging environment to inspire innovation.
