Ceremorphic Technologies Pvt Ltd is building a next-generation virtual cell and are seeking a Lead Cell Engineer to architect its biological intelligence. In this role, you will design how signaling pathways, feedback loops, and molecular interactions emerge and interact within a computational cell. You will define network topology, develop mathematical frameworks, integrate experimental and structural data, and own the modeling strategy end-to-end.

This role requires a PhD in Systems Biology, Computational Biology, Biophysics, or a related field, along with 3 – 5+ years of experience modeling multi-pathway signaling systems.

Key Skills and Experience

• Deep understanding of major signaling pathways (MAPK, PI3K-AKT, mTOR, p53, NF-κB) and their biological constraints
• Strong proficiency in Python and/​or MATLAB
• Experience with ODE/PDE modeling, stochastic simulations, parameter estimation, sensitivity and bifurcation analysis
• Familiarity with tools such as COPASI, VCell, BioNetGen, or PySB is highly desirable

In this role, you will serve as the scientific integrator — bridging wet-lab biologists, structural modelers, medicinal chemists, and software engineers — while ensuring coherence and biological realism across the entire modeling stack.

If you thrive on systems thinking, biological complexity, and building models that behave like real cells, this role offers a rare opportunity to shape the foundation.

PhD in Biophysics, Applied Mathematics, Chemical Engineering, or Physics with biology applications.

• Strong mathematical background (dynamical systems, numerical analysis)
• 2 – 5 years building quantitative biological models
• Track record of solving complex ODE/PDE systems

Interested candidates can send their resumes to careers@​ceremorphic.​com.