Job
Description
Hands-on role developing and implementing innovative AI methods (use of an AI model on a specific dataset for a specific purpose) under supervision as well as independently to deliver on highly visible projects Advanced development skills in Python and the ability to understand and internalizing AI models from published papers and repositories Train, test, and evaluate AI models on realistic internal and external data, and present results in an organized manner for team evaluation and input Develop and deliver various biological and chemical insights and outcomes from applying AI models for broader communication Stay up to date in the latest developments of evolving AI methods through self-learning and using on-the-job opportunities Understand and m anage run time requirements of AI models, visualizations, and cloud-based computation to increase efficien cy and quality of AI approaches Develop new AI models from scratch using TensorFlow or PyTorch , understanding and modifying learning objectives and training methods of the models Essential Requirement: Extensive classroom learning as well as on-the-job, hands-on experience of advanced AI models, selecting and applying suitable AI models for a given purpose. Experience with AI is expected not just at the level of running the code but deeper understanding models, their purpose, and the ability to interpret functioning of a model on given data Demonstrable deep experience in one or more of specific AI focus areas we are hiring: NLP and Generative Models (LLMs), and AI for medicinal chemistry and design of biological medicines. Strong skills in Python, relevant Deep Learning frameworks such Transformers, advanced AI model training methods Experience with high performance computing systems and cloud-based services involving large and diverse biomedical data Running AI model using GPU is a must and the ability to scale a model to multi-GPUs is big plus Strong communication skills to explain technical details, decisions, consequences, and results to senior researchers and non-data science communities Deep understanding of biological and chemical datasets, knowledge repositories in the areas such Gene Ontology A humble and curious mind that can continuously learn while recognizing and applying internal resources to the overall vision and purpose of the team. Desirable Requirement: Bachelor s d egree ( master s or PhD is desirable) in a computational field including, but not limited to: AI, Computer Science, Applied Mathematics, Computational Biology/Chemistry , Engineering , Statistics, and Physics 1 - 3 years of deep, hands-on experience working on AI projects and either clear evidence of significant projects personally developed and delivered and/or publication track record 1 - 3 years of experience in working with large scale , realistic data sets and analyzing results towards specific business/scientific outcomes Experience in pharma, biotech, or healthcare is a big plus but strong tech background with the willingness to adapt to pharma is equally acceptable.
