Research Director

About Us: At Oncoscope AI, our mission is to bring user-friendly and daily-updated access to structured oncology clinical data to healthcare practitioners and pharmaceutical professionals. Oncoscope AI builds structured, high-quality cancer libraries sing a published method: REal-Time, AI-Supported Living Systematic Literature Review (REAL-SLR).  Our AI-supported platform will enable faster, more accurate integration of the latest research findings into clinical practice, ultimately improving patient care and outcomes. We operate at the intersection of science, data, and AI—combining rigorous human expertise with advanced automation. and we are driven by a commitment to making a tangible difference in the fight against cancer! The Role: We are seeking a Research Director, to lead the development and maintenance of our cancer data libraries. This role is ideal for a scientifically rigorous, highly organized, and deeply curious oncology professional who thrives in fast-paced environments. You will own one or more cancer domains and serve as Oncoscope’s internal subject-matter expert—driving literature review, data extraction, validation, and AI-assisted annotation workflows. Key Responsibilities Cancer clinical strategy: Serve as Oncoscope’s internal authority for your disease area and stay continuously up to date on scientific, clinical, and therapeutic developments. Systematic literature review: Conduct daily, systematic literature reviews across journals, preprints, and conference proceedings, and cross-check extracted data against: FDA and EMA regulatory decisions Clinical practice guidelines Reimbursement and health technology assessment agencies Clinical trial registries (e.g., ClinicalTrials.gov, EU CTR) Contribute to AI training: Work closely with AI engineers to provide expert feedback to enhance AI model performance and reliability. Project and team management: Lead end-to-end data curation and research projects. Mentor and manage junior scientists and analysts. Stakeholder relationship management: Interact directly with internal technology, and leadership teams; and external oncology key opinion leaders and pharmaceutical/biotech clients Qualifications Required PhD, MD, PharmD, or Master’s with significant experience in oncology (highly preferred). 10+ years of experience in conducting systematic literature review and evidence synthesis leading to regulatory submissions and publications is a MUST Candidate must be fluent in all aspects of SLR with a proven record of independently conducting all SLR steps Excellent organizational and interpersonal skills Proven ability to lead projects and mentor junior staff Locations: Canada, US or EU only Preferred Experience in pharmaceutical research, medical affairs, HEOR, or regulatory science. Familiarity with FDA/EMA processes and reimbursement frameworks. Prior exposure to AI-assisted research tools Who You Are An oncology enthusiast who is genuinely passionate about cancer research. Highly detail-oriented, disciplined, and systematic. Comfortable working in a small, fast-growing, high-impact team. Self-directed, accountable, and results-driven. Excited to become a recognized internal expert in your disease area. Motivated by building something meaningful from the ground up. What We Offer Impact: Be part of a mission-driven startup that is revolutionizing how oncology data are accessed, with the potential to improve patient outcomes on a global scale. Growth: Engage in continuous learning and professional development opportunities in the rapidly evolving field of healthcare AI. Culture: Join a passionate and close-knit team that values innovation, creativity, and problem-solving. Work environment: Competitive compensation, benefits and a highly flexible work schedule How to Apply Apply via LinkedIn or write directly to Anna Forsythe with your resume and a brief statement describing your qualifications and aspirations. Links to relevant publications, projects, or evidence synthesis work are welcome. Join us in building the world’s most trusted cancer intelligence platform.