Head of Pharma Programs

This is a fully remote position, open to applicants in United States.

📋 Description

• Lead the Pharma Programs team at Imagene, overseeing scientific operations and collaborative research initiatives.

• Manage the execution of collaborative research projects in partnership with biopharmaceutical companies, academic institutions, and healthcare organizations.

• Transform partner goals and intricate biological inquiries into well-structured AI-driven scientific programs.

• Deliver comprehensive leadership throughout the project lifecycle, including conception, study design, model development alignment, analysis, interpretation, and scientific communication.

• Direct and manage the scientific team, defining responsibilities, development pathways, and fostering a culture of scientific rigor, accountability, and teamwork.

• Ensure that partner projects align with partner objectives, clinical significance, and Imagene’s technological strengths.

• Provide scientific oversight on biological and clinical rationale, study design, data collection, cohort definition, endpoint selection, analysis, interpretation, and final reporting.

• Collaborate with internal teams, including Data Science, Product, and Operations.

⛳️ Requirements

• MD or PhD in life sciences, biomedical sciences, or a related field.

• Over 8 years of relevant experience in the pharmaceutical, biotechnology, diagnostics, or healthcare technology sectors, with substantial experience in translational medicine, drug development, biomarker research, or clinical science.

• At least 3 years of proven operational experience leading scientific teams and managing complex, multidisciplinary programs.

• Strong track record of leading external collaborations with biopharmaceutical firms, academic institutions, healthcare organizations, or research consortia.

• In-depth knowledge of oncology, translational research, biomarker development, and the drug development process.

• Experience in designing and overseeing clinical, translational, or biomarker studies, including cohort definition, endpoint selection, data interpretation, and scientific reporting.

• Strong analytical skills with the ability to synthesize clinical, pathological, molecular, and computational findings.

• Proficient in conveying complex scientific ideas clearly to various audiences, including scientific, clinical, technical, and executive stakeholders.

• Capable of influencing cross-functional teams and thriving in a dynamic, fast-paced environment.

• Exceptional written and verbal communication skills.

• Preferred: Experience with artificial intelligence, digital pathology, computational biology, or data-driven healthcare products.

• Preferred: Experience in interpreting genomic, transcriptomic, proteomic, or other multi-omics data.

🏝️ Benefits

• Remote work arrangement