Lead Data Scientist
Bangalore, KA, IN, 560100
About Syngene: Syngene (www.syngeneintl.com) is an innovation-led contract research, development and manufacturing organization offering integrated scientific services from early discovery to commercial supply.
At Syngene, safety is at the heart of everything we do personally and professionally. Syngene has placed safety at par with business performance with shared responsibility and accountability, including following safety guidelines, procedures and SOPs, in letter and spirit
Mandatory expectation for all roles as per Syngene safety guidelines
- Overall adherence to safe practices and procedures of oneself and the teams aligned
- Contributing to development of procedures, practices and systems that ensures safe operations and compliance to company’s integrity & quality standards
- Driving a corporate culture that promotes environment, health, and safety (EHS) mindset and operational discipline at the workplace at all times.
- Ensuring safety of self, teams and lab/plant by adhering to safety protocols and following environment, health, and safety (EHS) requirements at all times in the workplace.
- Ensure all assigned mandatory trainings related to data integrity, health, and safety measures are completed on time by all members of the team including self
- Compliance to Syngene’ s quality standards at all times
Core Purpose of the Role:
Key Responsibilities
Technical & Delivery Leadership
- Lead end-to-end advanced analytics and AI programs, from problem definition and data acquisition to model deployment, monitoring, and value realization.
- Architect and review scalable machine learning solutions, ensuring robustness, reproducibility, and alignment with business and scientific objectives.
- Set best practices for model development, validation, deployment, and lifecycle management in regulated scientific environments.
- Guide the design and implementation of predictive, prescriptive, and generative AI models for reaction outcomes, process optimization, quality control, and operational excellence.
Stakeholder & Business Engagement
Act as a trusted analytics advisor to scientific, manufacturing, and enterprise leaders.
Translate complex scientific and business challenges into well-defined data science problem statements and roadmaps.
Engage with domain experts, senior stakeholders, and external partners to drive adoption and impact of data science solutions.
Team Leadership & Capability Building
- Provide technical mentorship and code/model reviews for data scientists and analysts.
- Support hiring, onboarding, and capability development of the data science team.
- Foster a strong culture of scientific rigor, innovation, collaboration, and continuous learning.
Data, Platforms & Engineering
- Oversee the use of structured and unstructured data from lab instruments, sensors, digital labs, and enterprise systems (CRM, ERP, MES, etc.).
- Partner with data engineering and IT teams to define and evolve data pipelines, feature stores, dashboards, and MLOps frameworks.
- Drive adoption of cloud-native analytics and AI platforms and reusable analytics assets.
Syngene Values
All employees will consistently demonstrate alignment with our core values
- Excellence
- Integrity
- Professionalism
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, sexual 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 accommodation for qualified individuals with disabilities.