Accountabilities
You will join a global team of cheminformaticians, scientific software engineers, and devops engineers in our Augmented-DMTA platform and perform the following:
• Be one of the subject matter experts for the team with knowledge of cheminformatics and computational chemistry tools used in drug discovery
• Work with cutting edge technology stack in a cloud environment solving scientific challenges for drug discovery
• Be responsible for designing and implementing scientific software and data solutions to make our science easier to do, easier to learn from, and offer faster delivery and higher quality across all therapeutic areas
• Design and build novel products and features to address long-standing problems in drug discovery with a focus on producing amazing user experiences that are more than the sum of their parts
• Collaborate with product, design, data science, software engineering, and scientists to build cutting-edge experiences and services
• Propose and implement changes to our drug discovery data models, core architecture, and codebase
• Develop all levels of the technical stack even if you’re more experienced in some layers with a strong focus on scalable backend services
• Support less experienced software engineers by knowledge sharing, mentoring, and feedback
• Proactively review and improve the scalability, reliability, performance, and availability of drug discovery services
• Advocate for rigorous engineering practices and discipline: code reviews, automated testing, logging, monitoring, alerting, etc.
• Be passionate for staying on top of tech trends, experiment with and learn new technologies, participate in internal & external technology communities, and mentor other members of the engineering community
• Propose solutions for engineering problems deploying critical thinking and analysis skills
Essential Skills/Experience
• Expertise in Cheminformatics, ML, or a related field and experience working with one of the cheminformatics toolkits
• Expertise in one or more languages like Python, Java, Node.js with the willingness and ability to quickly adapt to a new language
• Some experience with end-to-end web development with at least one of the web frameworks, FastAPI, Flask, Spring, Django, etc.
• Experience working with relational and/or NoSQL databases and knowledge of query optimization techniques
• Proficiency in Linux environments
• Demonstrable abilities with the coding best practices including testing, code review, and version control
• Excellent teamworking, verbal, and written communication skills
Desirable Skills/Experience
• CI/CD experience with some automation tooling like Jenkins, TravisCI, Github actions, etc.
• Demonstrable high proficiency in data structures and design patterns
• Experience in chemistry data standardization, transformation and harmonization combining multiple data sources
• Experience in cloud services and tools
• Experience data and/or compute pipelining tools either generic or cheminformatics-specific ones
• Basic understanding of Machine Learning concepts and MLOps
• Experience with Docker and Kubernetes
• Experience with GitOps