Company Description Moleculyst Ventures Private Limited is a deep-tech biotechnology startup pioneering the fusion of computational biology, artificial intelligence, and genomics to enable precision and personalized healthcare. Our mission is to decode the complex interactions between genetic and environmental factors influencing human health and disease, and to use that knowledge to design AI-driven diagnostic, therapeutic, and preventive solutions. We aim to accelerate breakthroughs in personalized medicine, drug discovery, and bioinformatics infrastructure, empowering clinicians and researchers with data-driven tools for next-generation healthcare. Role Description This is a part-time remote role for a Machine Learning Engineer. The Machine Learning Engineer will be responsible for developing and implementing machine learning models, conducting research on advanced machine learning algorithms to integrate AI-driven solutions. Day-to-day tasks include understanding, designing and optimizing neural networks, pattern recognition systems, and developing algorithms to analyze complex biological data. Qualifications Expertise in Pattern Recognition and Neural Networks Strong background in Computer Science and Algorithms Proficiency in Mathematics Excellent problem-solving skills Ability to work independently and remotely Experience in computational biology, genomics, or bioinformatics is a plus Bachelor's degree in Computer Science, Engineering, Maths, or a related field is a plus.
Company Description Moleculyst Ventures Private Limited is a biotechnology startup at the forefront of integrating computational biology, artificial intelligence, and genomics to revolutionize healthcare. Its mission is to unlock insights into the complex relationship between genetics and environmental factors influencing human health and disease. Using AI-driven innovations, Moleculyst designs diagnostic, therapeutic, and preventive solutions for personalized healthcare. The company is committed to driving advancements in personalized medicine, drug discovery, and bioinformatics infrastructure, empowering healthcare and research through data-driven tools. Requirements Actively seeking a job role in biotech field Proficiency with code Qualifications Solid knowledge of Statistics and Data Analysis Hands-on experience with simulating biomolecules Strong Research skills with the ability to innovate and contribute to scientific advancements Proficiency in using computational tools and programming languages relevant to bioinformatics (ChimeraX, PyMol, Gromacs) Proficiency in material simulation (using DFT or VASP) is a plus Excellent problem-solving and critical thinking abilities Master's or Ph.D. in Computational Biology, Bioinformatics, Genetics, or a related field is appreciated Role Description Study the PDB structure of complexes, proteins and lipids Devote a specific number of hours(25+) on research and analysis Document the progress and insights of the work in an understandable manner Compensation It will be based on the experstise as well as amount of hours devoted