Postúlate en Kit Empleo: kitempleo.com.ar/empleo/pznnt
Participation is project-based, not permanent employment.What This Opportunity InvolvesDesign original computational biology problems that simulate real biology research workflows;Create problems requiring Python programming to solve (using Numpy, SciPy, BioPython);Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks);Develop problems requiring non-trivial reasoning chains in bioinformatics, systems biology, and molecular modeling;Base problems on real research challenges or practical applications from biology practice;Verify solutions using Python with standard computational biology libraries;Document problem statements clearly and provide verified correct answers.What We Look ForDegree in Biology or related fields;Python proficiency for numerical validation.
MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries,
Stata or knowledge of any programming language can be equivalent;2+ years of professional experience: applied, research, or teaching experience is applicable;Experience with biological data analysis and algorithms;Familiarity with bioinformatics tools and computational methods;Strong written English (C1+).
Project time expectationsFor this project, tasks are estimated to require around ***** hours per week during active phases, based on project requirements.
This is an estimate, not a guaranteed workload, and applies only while the project is active.CompensationOn this project, contributors can earn up to $14 per hour equivalent, depending on their level and pace of contribution.
Compensation varies across projects depending on scope, complexity, and required expertise.
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Postúlate en Kit Empleo: kitempleo.com.ar/empleo/pznnt