Oncology Diagnostics Competitive Intelligence Consultant
December 7
Description
• Provide objective and timely Competitive Intelligence for clients’ marketed products and pipeline assets • Proactively and continuously monitor our clients’ competitive landscape using various public and private resources • Develop CI reports and alerts with analysis and insights • Conduct desktop research deep dives utilizing various data sources and databases as above • Translate competitive findings into insights and recommendations for our clients, leveraging vertical and horizontal logical frameworks • Solid understanding of US & EU pharma commercial, regulatory and clinical domains • Required travel: Attend approximately 6 medical conferences per year. Understand the conference coverage objectives, write up session summaries and create a post-conference report for clients
Requirements
• PhD or Master’s Degree in a scientific field, preferable with hands on experience in molecular biology research • Strong knowledge of the oncology therapeutic area: 5+ years of competitive intelligence experience in Pharma, 2 of which should be in Oncology Diagnostics and Precision Medicine • Understanding of Oncology Diagnostics and related technology, including but not limited to NGS, PCR, mIHC, IF, Digital Pathology and Radiology • Must understand the mechanisms of disease within oncology and understand the molecular basis of disease, including biomarkers, in oncology. • Must be up to date with trends and developments in Oncology Precision Medicine and the key Diagnostic companies in the space • Must understand the key policies, regulatory and reimbursement frameworks in the US and EU for developing and commercializing diagnostic assays and cDx • Comfortable communicating with diverse audiences who have various level of knowledge, and possesses the ability to adjust communication styles to different clients/audiences • Natural curiosity about how things work and interest in developing into technical fields such as Artificial Intelligence and Machined Learning • Prior experience with some programming languages (e.g. Python, Javascript, SQL) are a plus. • Hands-on experience with regulatory, medical, and commercial functions within the biotech and pharma industry • Experience using the following databases/websites – Citeline, Pharmatell, Alphasense. Clinical trial registries (US, EU, Canada, etc.), Regulatory websites (FDA, EMA, Health Canada, etc.) • Deep understanding of the Oncology drug development process from pre-clinical to launch • Keen attention to detail, well-organized and timely • Ability to work as a high-performing team member and deliver on commitments • Willingness to work in new areas and adjust to a fast-paced environment • High analytical mindset with the ability to understand the key insights from complex data and communicate in an easy-to-understand way • A self-starter with an ownership mindset and able to work in an agile way • Capability of adapting to changes and shifting priorities
Benefits
• Passion for innovation • A culture of results, not hours spent • Freedom of location • Diverse and global team • Growth mindset
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