Syngene Drug Discovery
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Syngene Drug Discovery Intelligence Job Recruitment – Apply Online

Syngene Drug Discovery Intelligence Job Recruitment – Apply Online. Drug Discovery Intelligence Jobs at Syngene. Check the details on the positions available, the job description, the key responsibilities, work experience, functional experience all below:

POSITION: Drug Discovery Intelligence

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JOB ID: 4327


The role requires an extremely motivated domain expert/data scientist to develop and apply cutting-edge data analytics, visualization, machine and profound learning methods.
This role requires knowledge of handling voluminous (~Gigabytes) Chemical and Biological Data for Intelligence-Driven Drug Discovery.


  • Capability to apply learning methods on biological and chemical data like Biological assays, DMPK, Toxicity and Chemical Structures
  • Work with the Development Team to implement data modelling strategies and workflows
  • Responsible for providing advanced data analytics expertise to the group
  • Understand and implement computational project aims
  • Writing research papers, reports, reviews and summaries
  • Responsible for client interactions and contribute to the achievement of the revenue target according to Business Plan.
  • Accountable for databases development and maintenance strategy
  • Responsible for database administration, access control, integrity and data archival for clients related projects
  • Comply with Syngene’s Policies, such as Data Integrity, Departmental SOPs, Employees Health and Safety Sustainability, Quality Assurance and Project Management
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  • MS/PhD in Bioinformatics, Biostatistics, Mathematics, Computer Science, Computational Biology


  • PhD – 2-5 Years
  • MS – 8-9 Years
  • The ideal candidate can be from an IT Industry having worked in Pharma/Healthcare domain names.


  • Proven expertise in defining and validating computational approaches to generate hypotheses with multivariate, Bayesian, machine and deep learning approaches
  • Experience in the use of R, Python or Perl for complex data analysis
  • Programming and web application programming will be an additional advantage
  • Knowledge of database design, creation and management


  • Experience in managing and leading a project team
  • Ability to work in a dynamic multidisciplinary environment
  • Very Good Communication Skills
  • ought to be good at stakeholder management
  • Must have strong collaboration skills to work smoothly cross-functionally


  • ought to be flexible to manage the stretched timelines/ discussions/calls/meetings etc..
  • Contribute to planning and building computational infrastructure in collaboration with the internal stakeholders and IT Department.


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