Job Description
Role: Data Sciences Lead
Job Location: Bangalore
Department: Research Informatics
About Syngene
Incorporated in 1++3, Syngene International Ltd. is an innovation-focused global discovery, development and manufacturing organization providing integrated scientific services to the pharmaceutical, biotechnology, nutrition, animal health, consumer goods and specialty chemical industries around the world. Syngene’ s clientele includes world leaders such as Bristol-Myers Squibb, Baxter, Amgen, GSK, Merck KGaA and Herbalife. Its innovative culture is driven by the passion of its 4240- strong team of scientists who work with clients from around the world to solve their scientific problems, improve R&D productivity, speed up time to market and lower the cost of innovation.
Job Purpose :
We are looking for a highly motivated data scientist to lead the data sciences team, develop and apply cutting-edge data analytics, AI/ML methods for data-driven R&D.
Key Responsibilities:
• Apply analytics and predictive modeling, primarily on chemical and biological data
• Implement AI workflows for enhancing decision-making and creating digital twins of R&D processes
• Implement data modeling strategies and workflows
• Research new methods in deep learning and artificial intelligence
• Interact with domain experts and clients to understand data, business challenges and implement robust, scalable solutions.
• Lead and develop a data science team
• Writing research papers and reports
Educational Qualification:
MS/MTech/PhD in Mathematics / Computer Science / Statistics / Physics with relevant experience
Technical/functional Skills:
• 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
Experience: 8 years or more, preferably in an industrial setting
Behavioral Skills:
• Excellent communication skills
• Objective thinking
• Problem solving
• Ability to manage cross-functional team to deliver project goals
• Ability to plan and manage self and team to achieve organizational goals
Equal Opportunity Employer:
It is the policy of Syngene to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, ****** orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by applicable legislation or local law. In addition, Syngene will provide reasonable accommodations for qualified individuals with disabilities.
Job Location: Bangalore
Department: Research Informatics
About Syngene
Incorporated in 1++3, Syngene International Ltd. is an innovation-focused global discovery, development and manufacturing organization providing integrated scientific services to the pharmaceutical, biotechnology, nutrition, animal health, consumer goods and specialty chemical industries around the world. Syngene’ s clientele includes world leaders such as Bristol-Myers Squibb, Baxter, Amgen, GSK, Merck KGaA and Herbalife. Its innovative culture is driven by the passion of its 4240- strong team of scientists who work with clients from around the world to solve their scientific problems, improve R&D productivity, speed up time to market and lower the cost of innovation.
Job Purpose :
We are looking for a highly motivated data scientist to lead the data sciences team, develop and apply cutting-edge data analytics, AI/ML methods for data-driven R&D.
Key Responsibilities:
• Apply analytics and predictive modeling, primarily on chemical and biological data
• Implement AI workflows for enhancing decision-making and creating digital twins of R&D processes
• Implement data modeling strategies and workflows
• Research new methods in deep learning and artificial intelligence
• Interact with domain experts and clients to understand data, business challenges and implement robust, scalable solutions.
• Lead and develop a data science team
• Writing research papers and reports
Educational Qualification:
MS/MTech/PhD in Mathematics / Computer Science / Statistics / Physics with relevant experience
Technical/functional Skills:
• 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
Experience: 8 years or more, preferably in an industrial setting
Behavioral Skills:
• Excellent communication skills
• Objective thinking
• Problem solving
• Ability to manage cross-functional team to deliver project goals
• Ability to plan and manage self and team to achieve organizational goals
Equal Opportunity Employer:
It is the policy of Syngene to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, ****** orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by applicable legislation or local law. In addition, Syngene will provide reasonable accommodations for qualified individuals with disabilities.
💡 Quick Summary
Seeking a career-building opportunity? The Data Sciences Lead position is now open for candidates interested in the Database Administrator sector. This role in Bangalore offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Database Administrator is a plus.