{"id":3394084,"url":"https://alion.io/job/kake-biologist-with-python-proficiency-ai-trainer","title":"Biologist with Python Proficiency - AI 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building a talent pool of Biology professionals with Python proficiency to contribute to project-based AI development initiatives, focused on evaluating and enhancing frontier AI models.\nDesigned for biology specialists who enjoy deep technical problem-solving, this pipeline role is for those looking to apply their computational expertise to evaluate and push the boundaries of frontier AI models, relying on domain-specific tools such as NEURON, Brian2, OpenSim, AMICI, or MNE-Python, with verifiable, code-graded answers run inside isolated Linux environments.\nKey Responsibilities\nIdentify an appropriate computational biology package and build problems whose solution genuinely hinges on that tool's core capabilities, whether biophysical models, ODE/PDE systems, biomechanical formulations, or sequence algorithms.\nDevelop full Python solutions for each problem, providing all necessary input files, model definitions, and network configurations as required.\nEstablish the correct numerical output and define how close the AI model needs to get, using tolerance values appropriate to the biological context.\nRun the problem against the AI model across multiple parallel attempts, analyzing where it succeeds or falls short, and adjusting difficulty until the pass rate falls between 10% and 30%.\nTune channel kinetics, stimulation protocols, and solver tolerances iteratively, building an understanding of how the model navigates complex neuronal, biomechanical, and systems biology problems.\nHand off completed tasks to a senior reviewer in your subfield and refine based on their feedback before final submission.\nCore Requirements\nAcademic background in Biology or a closely related field.\nAt least 2 years of hands-on experience in biology research, applied work, or teaching.\nSolid Python skills, applied to writing and validating computational solutions.\nCapacity to build problems that cannot be solved without specialized computational biology software.\nExcellent written and verbal communication skills in English.\nAbility to work independently in a remote, fast-paced environment.\nNice-to-Have\nWorking knowledge of one or more domain-specific computational biology tools, including but not limited to NEURON, Brian2, NEST, OpenSim, AMICI, libroadrunner, MNE-Python, or Biopython, or a demonstrated ability to get up to speed independently.\nPrior exposure to how frontier AI models approach complex simulation tasks.\nKnowledge spanning more than one biology domain, such as computational neuroscience, biomechanics, or systems biology.\nFamiliarity with containerized or sandboxed Linux execution environments.\n Please Note: Due to the high volume of applications, only shortlisted candidates will be 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