.. role also requires hands-on experience with open-source messaging substrates and working with multiple messaging data formats and security principles. Experience building distributed systems with traceability in a high-volume messaging environment. Each team owns its service deployment pipeline to production .. read more
The Data Scientist will play a key role in enabling business for Data Driven Operations and Decision making in Agile and Product-centric IT environment with major focus on Drug Retrosynthesis and Integrated Drug Discovery.
Candidate would be expected to independently/with minimal supervision :
- Lead by example in the application of in silico technologies to small molecule drug discovery programs
- Champion and actively promote the use of cheminformatics, bioinformatics and AI/ML methods to expedite the Design-Make-Test-Analyze discovery cycle
- Proficiency in algorithm/workflow development, deployment and application in a global, multi-site Linux environment including cloud computing
- Design and implement scripts and/or visual programming workflows to automate data and compute intensive in silico design tasks
- Work cross-functionally with colleagues in Medicinal Chemistry, Structural Biology, Biophysics, Pharmacology, ADME/Tox, IT and other functions within interdisciplinary drug discovery teams
- Initiate and lead structure-based design projects in relevant therapeutic areas, collaborating with medicinal chemistry teams to optimize molecular design and protein targeting strategies.
- Experience in a wide range of computational chemistry techniques including similarity searching, SAR modeling, molecule enumeration, ligand-protein modeling and the application of modern machine learning tools to key problems in chemistry, biology, and drug design.
- Evaluate emerging computational and drug modalities and their application to drug discovery workflows
- Partner closely with Business stakeholders for identifying opportunities and pain areas and creating business use cases chain to drive tangible Value Creation in terms of Revenue, Cost and Productivity improvement
- Facilitate PoCs for potential use-cases and use Machine Learning and Deep Learning to develop / supervise development of self-correcting models and algorithms
- Ensure Partnering and Collaboration with Product Managers, Solution Architects and Service teams to industrialize AI / ML models and conduct rapid and iterative prototyping of minimum viable solutions
- Ensure continuous monitoring and optimization of algorithms to ensure best results
Operating Network
Internal: CDO, Data Science & AI Head, Business Head(s), Business Stakeholders – BU Heads, Functional Heads, and their teams; Technology Tower Leads & IT Delivery Teams
External: Digital Ecosystem partners – Academia, Start-ups, Digital Giants, Technology Solution & Service Providers, Consulting Firms, Independent Research Firms, Capability Building Partners, Industry Peers
Contemporary Skills: Must have good knowledge of Data Science & Analytics, Agile Methodologies, Design Thinking, User Experience and Digital Technologies
Educational Qualifications:
- Masters / Ph.D. in Cheminformatics, Computational Chemistry, Computational Biophysics, Bioinformatics, or related field with 5+ years of relevant experience
- Data Science / AI / ML Course from a Premier Institute is required.
- Demonstrated impactful contributions to small-molecule drug discovery programs as exemplified by publications and/or patents/patent applications.
Experience Required:
- Hands-on experience with AI/ML toolkits such as PyTorch and Tensor Flow
- Expertise in cheminformatics / bioinformatics data analysis and large-scale data handling
- Experience in CADD
- Hands-on experience in use of issue tracking tools, source control, and build management
- High-level proficiency in scripting or programming languages such as Python, C++
- Experience in AWS AI Platform
- Efficient and flexible disposition, able to rapidly learn new fields and use data science and machine learning to improve decision making and workflows
- Ability to work in a Linux/Unix enterprise environment
Key Personal Attributes
- Strategic and Innovative Mind-set
- Hands-on Working Style
- Business focused, Customer & Service minded
- Strong Consultative and Management skills
- Good Communication and Interpersonal skills to manage senior stakeholders in business and IT
- Confident in advising, developing, and articulating solutions
- Result oriented and with a work ethic of delivering on-time and in scope
- Learning Agility