Associate Scientist - Digital Project Manager

Amgen Inc; Hyderabad; On-site; INR 1,200,000 - 2,100,000; Full time

Job summary

Amgen Inc in Hyderabad, India seeks a Digital Project Manager for Large Molecule Discovery Informatics to coordinate AI, data, and informatics initiatives across multiple teams. You will manage timelines, dependencies, risks, and delivery of scalable scientific and technical solutions to enable AI-driven research capabilities.

The role requires a master's or bachelor's degree with 2+ years of experience, familiarity with Agile/Hybrid approaches, and strong stakeholder management.

Qualifications

• Master's or Bachelor's with related experience.
• Experience supporting cross-functional scientific, technical, digital, or data-focused projects.
• Familiarity with Agile, Hybrid Agile, or Waterfall methodologies.
• PMP certification or equivalent preferred.
• Exposure to AI, data platforms, or scientific informatics.
• Biotech/pharma or research environment familiarity.

Responsibilities

• Coordinate AI, data, and informatics initiatives across LMD.
• Maintain Gantt charts, project plans, and timelines.
• Facilitate communication across scientists, engineers, data scientists, and tech teams.
• Manage dependencies, risks, and issues; track milestones.
• Support operational readiness and deployment of new digital capabilities.

Skills

Cross-functional projects

Agile / Hybrid Agile / Waterfall

PMP certification

Stakeholder management

Education

Master's degree

Bachelor's degree

Tools

Microsoft Project

Smartsheet

Jira

Confluence

Azure DevOps

Job description

Digital Project Manager (Large Molecule Discovery Informatics)

What you will do

Lets do this. Lets change the world. In this vital and exciting role, you will serve as a Digital Project Manager, supporting the successful execution of AI, data, and informatics initiatives across Large Molecule Discovery (LMD). Working as part of a multidisciplinary team, this individual will coordinate project activities, manage timelines and dependencies, facilitate communication across stakeholders, and help ensure delivery of scalable scientific and technical solutions. This role serves as a key operational partner to scientists, informaticians, software engineers, data scientists, and technology teams, helping teams stay aligned, identify risks early, and maintain visibility into project progress. The successful candidate will contribute to the planning and execution of initiatives that enable AI-driven research capabilities, including emerging antibody and protein design workflows, while supporting operational readiness and adoption within scientific environments. The ideal candidate enjoys bringing structure to complex projects, coordinating across multiple stakeholders, and enabling teams to execute effectively in a dynamic research setting.

• Support planning, execution, and tracking of AI, data, and informatics initiatives across Large Molecule Discovery.
• Maintain Gantt charts, project plans, timelines, milestones, action items, and dependency tracking across multiple workstreams.
• Coordinate project activities across scientific, technical, and business teams to support timely delivery of project objectives.
• Assist with resource planning, scheduling, and project documentation.
• Help ensure projects remain aligned with agreed-upon scope, timelines, and priorities.
• Facilitate communication between scientists, informatics teams, software engineers, data scientists, and enterprise technology partners.
• Schedule and coordinate project meetings, status reviews, and working sessions.
• Capture meeting outcomes, decisions, action items, and follow-up activities.
• Support coordination with external collaborators and technology partners when needed.
• Maintain clear and consistent communication regarding project status, risks, and dependencies.
• Monitor project risks, issues, and dependencies and work with project teams to support mitigation planning.
• Help identify potential obstacles that could impact delivery timelines or project objectives.
• Support operational readiness activities associated with deployment of new digital and AI-enabled capabilities.
• Track implementation progress and support transition activities as solutions move into production use.
• Maintain project dashboards, status reports, and delivery metrics.
• Support development and adoption of project management best practices and standard operating procedures.
• Identify opportunities to improve coordination, communication, and project execution processes.
• Contribute to continuous improvement initiatives that enhance delivery efficiency across the LMD informatics portfolio.
• Support initiatives focused on AI-enabled scientific workflows, data platforms, and research informatics capabilities.
• Coordinate activities associated with implementation of antibody and protein design workflows.
• Help ensure project deliverables align with scientific user needs and operational requirements.
• Assist teams in tracking milestones required for deployment and adoption of new capabilities.

What we expect of you

We are all different, yet we all use our unique contributions to serve patients. The dynamic professional we seek is a subject matter expert with these qualifications.

Basic Qualifications: Master's degree or Bachelor's degree and 2 years of directly related experience.

Preferred Qualifications

• Experience supporting cross‑functional scientific, technical, digital, or data‑focused projects.
• Familiarity with project management methodologies including Agile, Hybrid Agile, or Waterfall approaches.
• Experience maintaining project plans, tracking deliverables, and managing dependencies.
• Project Management Professional (PMP) certification or equivalent.
• Exposure to AI, machine learning, data platforms, scientific informatics, or digital transformation initiatives.
• Familiarity with biotechnology, pharmaceutical, healthcare, or research environments.
• Understanding of scientific data workflows and technology implementation projects.
• Interest in emerging applications of AI within research and development.
• Strong interpersonal and stakeholder management skills.
• Ability to work effectively with diverse scientific and technical teams.
• Excellent written, verbal, and presentation communication skills.
• Strong attention to detail and commitment to execution excellence.
• Experience using project management and collaboration tools such as Microsoft Project, Smartsheet, Jira, Confluence, Azure DevOps, or similar platforms.
• Proficiency with Microsoft applications, including SharePoint, Excel, PowerPoint, and Teams.