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    Data Scientist - Hyderabad, India - Aragen Life Sciences

    Aragen Life Sciences
    Aragen Life Sciences Hyderabad, India

    2 months ago

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    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 programsChampion and actively promote the use of cheminformatics, bioinformatics and AI/ML methods to expedite the Design-Make-Test-Analyze discovery cycleProficiency in algorithm/workflow development, deployment and application in a global, multi-site Linux environment including cloud computingDesign and implement scripts and/or visual programming workflows to automate data and compute intensive in silico design tasksWork cross-functionally with colleagues in Medicinal Chemistry, Structural Biology, Biophysics, Pharmacology, ADME/Tox, IT and other functions within interdisciplinary drug discovery teamsInitiate 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 workflowsPartner 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 improvementFacilitate PoCs for potential use-cases and use Machine Learning and Deep Learning to develop / supervise development of self-correcting models and algorithmsEnsure 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 solutionsEnsure continuous monitoring and optimization of algorithms to ensure best results


    Operating NetworkInternal:
    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 experienceData 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 FlowExpertise in cheminformatics / bioinformatics data analysis and large-scale data handlingExperience in CADDHands-on experience in use of issue tracking tools, source control, and build managementHigh-level proficiency in scripting or programming languages such as Python, C++Experience in AWS AI PlatformEfficient and flexible disposition, able to rapidly learn new fields and use data science and machine learning to improve decision making and workflowsAbility 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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