Bioinformatics Intern

BIOINFORMATICS INTERNHyperworks Imaging is a cutting-edge technology company based out of Bengaluru, India since 2016. We are building disruptive and transformative products and solutions in diverse verticals ranging from Finance, Energy to Materials. We are a rapidly growing company, working with multiple companies around the world. We also support their needs for strong technical professionals to help build and maintain their proprietary platforms. The following position is for our affiliated company NuMarg Inc (workingto accelerate AI based bioleaching processes. This is a full time position to support R&D teams inhouse, external universities in India and abroad and requires immediate joining.JOB OVERVIEWWe're looking for a bioinformatics intern to work on metabolic models of Gluconobacter oxydans (and other acidophilic microbes) and use them to generate testable hypotheses for bioleaching applications — recovering metals from ores and waste materials using microbial processes. The intern will be based in Bangalore, working closely with a strong in-house Machine Learning team. The role also involves active collaboration with academic experts in biology, chemical engineering, and materials science across leading universities in India — making it a rare opportunity to work at the interface of computation, ML, and experimental science within a rich, cross-disciplinary network. Day-to-day work involves building and refining genome-scale metabolic models (GEMs), running simulations to identify promising metabolic strategies for bioleaching, and translating those findings into experimental designs for collaborating wet-lab teams. MUST HAVE Hands-on familiarity with Genome-Scale Metabolic Models (GEMs) — building, curating, and validating them Practical experience with Flux Balance Analysis (FBA) and related methods (FVA - Flux Variability Analysis and its variations) Proficiency in Python for data analysis and scripting Working experience with COBRApy — loading SBML models, running FBA simulations, interpreting flux resultsGOOD TO HAVE: Familiarity with neural networks applied in synthetic biology — e.g. predicting promoter/enzyme strength, flux estimation, or gene circuit design Comfort working alongside ML engineers and translating biological problems into ML-tractable formulations Knowledge of G. oxydans or other acidophilic bacteria Background in bioleaching, biomining, or metal recovery processes Experience integrating omics data (transcriptomics, metabolomics) into metabolic models Wet-lab or bioreactor exposureQUALIFICATIONS:Mastersin Bioinformatics, Computational Biology, Microbiology, or Biochemical Engineering. SALARY DETAILS:Commensurate with experience JOINING DATE :Immediate CONTACT:naveen@

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