As a Data Sciences Lead at Syngene, your role involves leading the data sciences team to develop and apply cutting-edge data analytics, AI/ML methods for data-driven R&D. You will be responsible for the following key accountabilities:
Applying analytics and predictive modeling, primarily on chemical and biological data
Implementing AI workflows for enhancing decision-making and creating digital twins of R&D processes
Implementing data modeling strategies and workflows
Researching new methods in deep learning and artificial intelligence
Interacting with domain experts and clients to understand data, business challenges and implement robust, scalable solutions
Leading and developing a data science team
Writing research papers and reports
To excel in this role, you are required to possess the following qualifications:
Proven expertise in defining and validating computational approaches to generate hypotheses
Deep knowledge of machine and deep learning algorithms and applications
Expertise in the use of Python for machine learning and complex data analysis
Knowledge of database design, creation, and management
Experience leading and coordinating a project team
Ability to work in a dynamic multidisciplinary environment
In addition to technical skills, the following behavioral skills are essential:
Excellent communication skills
Objective thinking
Problem-solving abilities
Ability to manage cross-functional teams to deliver project goals
Ability to plan and manage self and team to achieve organizational goals
The ideal candidate for this role will have an MS/MTech/PhD in Mathematics, Computer Science, Statistics, or Physics with relevant experience. Syngene also offers reasonable accommodations for qualified individuals with disabilities. As a Data Sciences Lead at Syngene, your role involves leading the data sciences team to develop and apply cutting-edge data analytics, AI/ML methods for data-driven R&D. You will be responsible for the following key accountabilities:
Applying analytics and predictive modeling, primarily on chemical and biological data
Implementing AI workflows for enhancing decision-making and creating digital twins of R&D processes
Implementing data modeling strategies and workflows
Researching new methods in deep learning and artificial intelligence
Interacting with domain experts and clients to understand data, business challenges and implement robust, scalable solutions
Leading and developing a data science team
Writing research papers and reports
To excel in this role, you are required to possess the following qualifications:
Proven expertise in defining and validating computational approaches to generate hypotheses
Deep knowledge of machine and deep learning algorithms and applications
Expertise in the use of Python for machine learning and complex data analysis
Knowledge of database design, creation, and management
Experience leading and coordinating a project team
Ability to work in a dynamic multidisciplinary environment
In addition to technical skills, the following behavioral skills are essential:
Excellent communication skills
Objective thinking
Problem-solving abilities
Ability to manage cross-functional teams to deliver project goals
Ability to plan and manage self and team to achieve organizational goals
The ideal candidate for this role will have an MS/MTech/PhD in Mathematics, Computer Science, Statistics, or Physics with relevant experience. Syngene also offers reasonable accommodations for qualified individuals with disabilities.
