Systems Biology Scientist

Summary

Join Deep Origin, an early-stage startup revolutionizing drug discovery through dynamical cellular modeling and simulation. We seek a talented systems biologist to develop and validate pathway and network models, applying them to predict novel therapeutics and biomarkers, particularly in oncology. This remote position, based on a continental US schedule, requires a PhD in a relevant field and experience with dynamical modeling, parameter optimization, SBML, and programming. Desired skills include cloud computing, high-performance simulation, AI/ML, and experience with experimental data. The position offers competitive salary, benefits, and equity.

Requirements

• PhD in biological sciences, biological engineering, systems biology, computer science, physical sciences, or engineering
• Experience developing dynamical models of intracellular biochemical pathways, using either continuous or stochastic simulations such as ODEs or Gillespie-like methods
• Experience with parameter optimization tools e.g. parPE
• Experience working with SBML
• Knowledge of cellular biochemistry and molecular biology
• Proficiency in at least one programming language such as Julia, Python, Java, or C/C++

Responsibilities

• Develop and validate pathway and network models
• Apply these models to novel therapeutic and biomarker predictions across a range of indications, particularly oncology

Preferred Qualifications

• Experience using cloud computing services such as AWS
• Experience with methods for high-performance and/or distributed simulation
• Experience with AI/ML
• Experience working with experimentalists and experimental data to train and validate models
• Knowledge of oncology or immunology, particularly in the application of modeling

Benefits

• Competitive salary
• Benefits
• Equity
• Remote work