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As Sr. Director, Research Competitive Intelligence, this role will shape Zealand Pharma’s research direction by integrating external landscape to influence research portfolio. The position will stay on top of the rapidly evolving landscape (peer reviewed publications, press releases, patents, and congress readouts) and develop independent, data‑driven insights in close collaboration with internal or external subject matter experts. The role currently reports to Chief Scientific Officer & EVP, Dr. Utpal Singh, and partners closely with Research, Medical, Development, IR, and Commercial stakeholders. This is a hands‑on scientific leadership role requiring deep understanding of discovery chemistry, pharmacology, advanced quantitative methods, data visualization, and executive‑ready communication.
Job Responsibility:
Track and synthesize competitive intelligence across metabolic health and adjacencies, including competitor readouts, publications, and patent literature in areas aligned to or adjacent to Zealand’s strategy and portfolio
Rapidly internalize breaking external data and independently develop analyses, narratives, and implications for Zealand’s research strategy and portfolio choices
Apply quantitative methods to capture, analyze, and visualize complex datasets (e.g., preclinical and clinical data), translating findings into actionable recommendations
Develop high‑impact, communications (briefings, presentations, written summaries) as a primary research competitive intelligence point of contact
Partner across‑functionally with Research, Medical, Development, IR, and Commercial teams to align on key questions, decision points, and strategic options
Build repeatable competitive intelligence “products” and operating rhythms (e.g., landscape monitoring, event coverage, thematic deep‑dives) to support leadership decision‑making
Requirements:
PhD (or equivalent advanced degree) in a relevant life sciences or quantitative discipline, with demonstrated understanding of drug chemistry, pharmacology, and development
10–15+ years of biopharma experience, including significant experience in R&D strategy and/or competitive intelligence
Deep knowledge of obesity and metabolic disease biology and therapeutic landscape
ability to evaluate emerging science critically
High learning agility and familiarity with multiple modalities (e.g., peptides, antibodies, oligonucleotides) and their discovery and development considerations
Strong quantitative and data‑visualization capabilities to independently analyze complex datasets and build coherent narratives (e.g., clinical trial data, preclinical results, Bayesian/statistical approaches)
Partner with Research Data & Tech as well as IT to develop automated workflows and incorporate agentic AI systems to accelerate internalization of external insights
Proven ability to influence in a matrix and deliver clear, high‑impact presentations and written recommendations to senior executives