Biologist with Python Proficiency – AI Trainer (Remote)

About the role

Kake is building a talent pool of biology professionals who can write Python‑based computational solutions to evaluate and improve frontier AI models. This remote, project‑based position is ideal for scientists who enjoy deep technical problem‑solving and want to apply their expertise to cutting‑edge AI research.

Key responsibilities

• Select an appropriate computational biology package and design problems that require its core capabilities (e.g., biophysical models, ODE/PDE systems, biomechanics, sequence algorithms).
• Develop complete Python solutions, including all input files, model definitions, and network configurations.
• Define correct numerical outputs and tolerance thresholds specific to the biological context.
• Run the problems against AI models in parallel, analyze performance, and iteratively adjust difficulty to achieve a 10‑30% pass rate.
• Tune channel kinetics, stimulation protocols, and solver tolerances to understand model behavior.
• Submit completed tasks to a senior reviewer, incorporate feedback, and finalize submissions.

Required profile

• Academic background in Biology or a closely related field.
• Minimum 2 years of hands‑on experience in biology research, applied work, or teaching.
• Strong Python programming skills applied to computational solutions.
• Ability to create problems that cannot be solved without specialized computational biology software.
• Excellent written and verbal communication in English.
• Self‑motivated and able to work independently in a fast‑paced remote environment.

Required skills

• Python
• Linux (containerized or sandboxed execution environments)
• NEURON
• Brian2
• NEST
• OpenSim
• AMICI
• libroadrunner
• MNE‑Python
• Biopython

What we offer

• Remote‑first work culture with a global community.
• Opportunities to collaborate with top‑tier engineering teams.
• Professional growth in a cutting‑edge AI research environment.