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    Data Scientist - hyderabad, India - Aragen Life Sciences

    Aragen Life Sciences
    Aragen Life Sciences hyderabad, India

    5 days ago

    Default job background
    Pharmaceutical / Bio-tech
    Description

    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

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