SANICKA Inc

Are you a motivated modeler or developer with entrepreneurial interest? Do you want to help us to beat leukemia developing an advanced personalized medicine tool? Are you excited about being on the ground-floor of a startup spinout of the Georgia Institute of Technology? Join us! We are hiring! SANICKA Inc, is a startup that builds mathematical models for biopharma, clean meat, cell therapies and healthcare industries, and we are inviting professionals to join our team working on a Georgia Research Alliance and Biolocity funded program entitled "πCIT (πChemo-Immuno Therapy) Clinical Decision Support Tool for Personalized Leukemia Treatment Selection". The program will be carried out in the BioMedical Systems Engineering Laboratory (BSEL) in the Wallace H. Coulter Department of Biomedical Engineering at the Georgia Institute of Technology and Emory University. We are looking for: Modeler 1 (Research Associate): Responsible for the adaptation and validation of πCIT algorithm to cover the pediatric population by accounting for significant differences between children and adult’s physiology, metabolism, AML features and available therapies. The candidate should have a Chemical or Biomedical Engineering, biocomputing science or mathematics degree. Experience in modeling of biomedical systems, pharmacokinetic and pharmacodynamic (PK/PD) modeling, model analysis techniques, model-based optimization and use of modeling software (such as gPROMS / MATLAB) are essential. Modeler 2 (Postdoctoral Fellow): In charge of the translation, adaptation, improvement and validation of a proprietary mathematical model written in gPROMS, a SIEMENS programming language for simulation, optimization and parameter estimation, into Python. The candidates should have a Chemical or Biomedical Engineering, Biocomputing Science or Mathematics degree, be educated at PhD level. Experience on modeling of biomedical systems, pharmacokinetic and pharmacodynamic (PK/PD) modeling, model analysis techniques, use of modeling software (such as gPROMS / MATLAB) and development of algorithms and applications using Python are essential. Developer (Research Associate): Leading the implementation of the architecture to support πCIT services and provide access to a web-based “Clinician Portal” to securely upload clinical patient data, perform simulations, and access visualizations of πCIT simulation and optimization results. The operation of the web-based Clinician Portal (Front-End) and Python algorithm (Back-End) should be implemented using Amazon Web Services (AWS). The successful candidate should have a STEM degree with experience on web-based platform development, apps development, Python, Django and AWS, which is essential.