Director
1 month ago
The Data Science & AI Head will play an important role in strategizing, architecting, and delivering Data Science Solutions across the Value Chain especially Drug Discovery and Development in an Agile and Platform / Product-centric way with a vision to drive Data Science / AI driven transformation for Tangible Business Value Creation
Candidate would be expected to independently/with minimal supervision :
Develop Data and end to end Data Science Strategy for complete Value Chain to drive the vision of Data Driven & AI / ML enabled Transformation
Work cross-functionally with colleagues in Medicinal Chemistry, Structural Biology, Biophysics, Pharmacology, ADME/Toxicology, CADD, Digital X and other functions within interdisciplinary drug discovery teams
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.
Champion and actively promote the use of Cheminformatics, Bioinformatics, Data Analytics and AI/ML methods to expedite the Design-Make-Test-Analyze discovery cycle
Evaluate emerging computational and drug modalities and their application to drug discovery workflows
Identify and Build Use Cases for Monetization of Research Data in the form of Data enabled Services
Facilitate PoCs for potential use-cases by identify the appropriate modelling technique and use Machine Learning and Deep Learning to develop / supervise development of self-correcting models and algorithms across the Business Value Chain
Provide guidance for the Architectural Design, Solution Planning and make architectural recommendations for On-premise / Cloud Platforms
Guide, supervise and train a team of Data Scientists using Agile, DevOps and Data Ops principles
Build Data Science COE encompassing with special focus on Agile way of Data Science leveraging Cloud Platform and on-premise tools
Partner closely with Business stakeholders across Drug Discovery, Drug Development, Manufacturing, Supply Chain, HR and Finance for identifying business use cases to drive data driven decisions across the Value chain to drive tangible Value Creation in terms of Revenue, Cost and Productivity improvement
Design solutions that make the best use of the Cloud platform and Data Infrastructure comprising Big Data, Search/log analytics, Data Warehousing, Streaming and Data Lake etc.
Support the architecting of data warehouses / data lakes etc. with big data technologies such as Spark, Python and Kafka on Public or Private Cloud platform. Support consumption of the provisioned data through governance mechanisms and compliance initiatives
Ensuring Partnering and Collaboration with Product Managers, Solution Architects and Service teams to accelerate adoption of Data Science to industrialize AI / ML models and conduct rapid and iterative prototyping of minimum viable solutions
Operating Network
Internal: CDO, Business Engagement Team, Business Stakeholders – BU Heads, Functional Heads and their teams; IT Delivery Teams including SAP, Digital, Data Science Infra & Security
External: Digital Ecosystem partners – Academia, Start-ups, Digital Giants, AI-Technology Platform Providers, Technology Solution & Service Providers, Consulting Firms, Independent Research Firms, Capability Building Partners, Industry Peers
Contemporary Skills: Must have good knowledge of Agile Methodologies, Design Thinking, User Experience, Platform Business Models and Digital Technologies
Educational Qualifications:
Ph D in Cheminformatics, Computational Chemistry, Computational Biophysics, Bioinformatics or related field
impactful contributions to small-molecule drug discovery programs as exemplified by publications and/or patents/patent applications.
in Data Science / AI / ML from a Premier Institute is required. Doctorate in Data Science with focus on Drug Discovery is an added advantage
in Big Data Technologies Analytics Cloud Platform (AWS / Azure) is an added advantage
Experience Required:
15 years of work experience in Data Science / Advanced Analytics, experience in creating organization wide capabilities in Data Sciences preferably in Life Sciences / CRO / CDMO / Pharma setups
10 years+ of relevant drug hunting experience
Expertise in cheminformatic and bioinformatic data analysis and large-scale data handling
5 to 8 years of experience in Experience in statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets
Experience in Cloud Service Operations of AWS / Azure especially in Analytics area
Experience in leveraging Partner Ecosystem and building hybrid teams with partners to deliver the work, operations etc., and productizing Data Science solutions
Application Development background along with knowledge of Analytics libraries, open-source Natural Language Processing, statistical and big data computing libraries
Experience in working with Service-oriented Architectures, APIs and in deploying services into containerized orchestration environments such as Kubernetes
Familiarity with Visualization and Reporting Tools like Power BI, Tableau and Qlik Sense
Experience in Platforms / Product-centric Agile Development
Key Personal Attributes
- Strategic and Innovative Mind-set
- Execution Oriented with 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
Important Note : Interested candidates are requested to share their latest profile to manoj.bisht@aragen.com
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