Head of Pharma Programs
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Job Description
Head of Pharma Programs leading Imagene’s AI-driven biomedical research programs. Overseeing scientific teams and collaborations with biopharmaceutical, academic and healthcare partners.
Responsibilities:
- Lead Imagene’s Pharma Programs team, scientific operations and collaborative research programs
- Oversee execution of collaborative research programs with biopharmaceutical, academic and healthcare partners
- Translate partner objectives and complex biological questions into well-designed AI-scientific programs
- Provide end-to-end leadership across project conception, study design, model-development alignment, analysis, interpretation and scientific communication
- Lead and manage the scientific team, establishing responsibilities, development pathways and a culture of scientific rigor, accountability and collaboration
- Ensure alignment of partner projects with partner objectives, clinical relevance and Imagene’s technological capabilities
- Provide scientific oversight of biological and clinical rationale, study design, data collection, cohort definition, endpoint selection, analysis, interpretation and final delivery
- Collaborate internally with Data Science, Product and Operations teams
Requirements:
- MD or PhD or in life sciences, biomedical sciences or a related field
- 8+ years of relevant experience in the pharmaceutical, biotechnology, diagnostics or healthcare technology industries, including significant experience in translational medicine, drug development, biomarker research or clinical science
- 3+ years of demonstrated operations experience leading scientific teams and managing complex, multidisciplinary programs
- Strong record of leading external collaborations with biopharmaceutical companies, academic institutions, healthcare organizations or research consortia
- Deep understanding of oncology, translational research, biomarker development and the drug-development process
- Experience designing and overseeing clinical, translational or biomarker studies, including cohort definition, endpoint selection, data interpretation and scientific reporting
- Strong analytical capabilities and ability to integrate clinical, pathological, molecular and computational findings
- Ability to communicate complex scientific concepts clearly to scientific, clinical, technical and executive audiences
- Ability to influence cross-functional teams and operate effectively in a fast-paced, evolving environment
- Excellent written and oral communication skills
- Preferred: Experience with artificial intelligence, digital pathology, computational biology or data-driven healthcare products
- Preferred: Experience interpreting genomic, transcriptomic, proteomic or other multi-omics data
Benefits:
- Remote work arrangement
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