JOB DESCRIPTION

Job Title: Business Analyst and Scientific Digital Partner

Job Location: Bengaluru

Department: Digital IT

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
• Hold self and their teams accountable for the achievement of safety goals
• Govern and Review safety metrics from time to time

Core Purpose of the Role :

We are looking for a specialist who bridges business needs and data sciences, translating the needs to digital workflows, and working with the digital team to ensure effective implementation.

Role Accountabilities:

• Business Problem & Use‑Case Identification:
• Support scientific and business stakeholders in understanding research and operational challenges, and assist in identifying use cases where analytics, AI, or digital solutions can deliver measurable value.
• Alignment with Digital & AI Strategy:
• Support alignment of identified use cases with the Digital & AI COE strategy and broader organizational objectives by helping define clear goals, success metrics, and outcomes.
• Requirements Translation (Business → Data → Model):
• Assist in converting business and scientific requirements into structured data, analytics, and model requirements by working closely with scientists, data scientists, and engineers.
• AI & Digital Workflow Support:
• Support the design and implementation of AI‑enabled and digital workflows that enhance scientific decision‑making and research processes.
• Value Delivery & Outcome Tracking Support:
• Assist in defining success metrics and tracking outcomes post‑implementation to ensure AI and analytics solutions deliver intended scientific and business value.
• Governance & Process Adherence:
• Support adherence to defined Digital & AI COE governance, documentation standards, and delivery processes to ensure consistency and quality.
• Stakeholder Coordination:
• Work closely with cross‑functional and multidisciplinary teams to coordinate activities, clarify requirements, follow up on action items, and ensure smooth communication between business, science, and digital teams.
• Change Management & Adoption Support:
• Support change management activities by helping communicate solution value, supporting training sessions, demos, and user onboarding to drive adoption.
• Documentation & Communication Support:
• Prepare and maintain clear documentation such as use‑case definitions, requirement documents, workflow diagrams, and solution summaries. Translate complex analytics and AI concepts into clear, business‑friendly narratives.
•  Cross‑Functional Execution Support:
• Help identify cross‑functional dependencies within AI and analytics initiatives and collaborate with stakeholders to maintain execution momentum and timely delivery.
• Continuous Improvement Support:
• Contribute ideas and insights to improve digital workflows, analytics approaches, and delivery practices, supporting continuous improvement within the Digital & AI COE.
• Innovation & COE Contribution:
• Actively support COE initiatives by participating in ideation workshops, innovation discussions, and development of reusable frameworks or accelerators.
• Overall Delivery Accountability (Under Guidance):
• Support senior digital, analytics, or science leads in ensuring AI and digital initiatives are delivered successfully, meet business and scientific needs, and achieve high stakeholder satisfaction

Leadership Capabilities

• Partners with customer
• Provides clarity and focus
• Drives performance against outcomes
• Drives accountability
• Works collaboratively
• Develops self and others

Syngene Values:

All employees will consistently demonstrate alignment with our core values

• • Excellence
  • Integrity
  • Professionalism

   Education and Experience:

• BTech/MS/MTech in Life Sciences or related discipline and experience in discovery R&D and science analytics

Skills & Capabilities:

• Proficiency in data analytics, forecasting tools, and dashboards (Power BI, Tableau).
• Strong problem-solving, stakeholder management, and collaboration skills.
• Expertise in process mapping and continuous improvement frameworks.
• Ability to work with global stakeholders and cross-cultural teams.
• Certifications such as APICS CPIM/CSCP, Six Sigma, or PMP are an added advantage.

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 accommodations for qualified individuals with disabilities.