Associate Manager - Oncology (EST)

POSITION SUMMARY

The Assistant Manager will work as an independent contributor, owning end-to-end Competitive Intelligence delivery for US-based clients. The role requires working predominantly in EST-aligned hours to support ongoing delivery, client calls, ad-hoc requests, and conference coverage during the US business day.

The individual will liaise directly with clients, manage delivery expectations, and develop client-ready insights and recommendations.

ROLES AND RESPONSIBILITIES

• Independently manage CI delivery across competitor monitoring, landscape assessments, conference coverage, and ad-hoc requests
• Work in EST-aligned hours to support US client delivery and time-sensitive requests
• Liaise directly with clients and independently participate in or lead client calls
• Support conference coverage, including pre-conference planning, live/in-conference reporting, and post-conference analysis
• Translate client requirements into clear KITs/KIQs and aligned deliverables
• Develop client-ready reports, presentations, alerts, and competitive landscapes
• Synthesize information into insights, implications, and recommendations
• Leverage relevant databases, research sources, and AI-enabled tools
• Quality-check outputs for accuracy, relevance, and client readiness
• Manage multiple priorities and timelines independently
• Support onboarding and coaching of junior team members as required

REQUIRED KNOWLEDGE AND SKILLS

• 5+ years of pharmaceutical/life sciences Competitive Intelligence experience
• Willingness to work predominantly in EST-aligned hours
• Oncology experience is a MUST
• Strong experience managing CI deliverables independently and interacting directly with clients
• Experience in competitor monitoring, conference intelligence, and landscape assessments
• Strong understanding of pharmaceutical clinical and commercial dynamics
• Strong analytical, synthesis, and insight-generation skills
• Proficiency with pharmaceutical databases covering clinical, commercial, regulatory data and scientific literature
• Ability to use AI-enabled tools to improve efficiency and deliverable quality
• Strong QC, prioritization, and communication skills
• Excellent written and verbal English