Company: Oncoscope AI

Location: Remote, Canada and EU only

Type: Full-Time

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 several candidates from Research Scientist to Senior Research Scientist levels to support 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 support the Research team in the development of new oncology databases—driving literature review, data extraction, validation, and AI-assisted annotation workflows.

Key Responsibilities

- Systematic literature review: Conduct daily, systematic literature reviews across journals, preprints, and conference proceedings, and cross-check extracted data against:

1. FDA and EMA regulatory decisions
2. Clinical practice guidelines
3. Reimbursement and health technology assessment agencies
4. 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.
- (Senior) Cancer clinical strategy: Strong understanding of disease area and support the team to stay continuously up to date on scientific, clinical,



and therapeutic developments.
- (Senior) Project management: Lead end-to-end data curation and research projects.

Qualifications

Required

- PhD, MD, PharmD, or Master’s with significant experience in oncology (highly preferred).
- 5+ 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
- Locations: Canada and 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, quick-growing, high-impact team.
- Self-directed, accountable, and results-driven.
- Excited to become immersed in your disease area and support the team with technical decision making.
- 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 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.

📌 Research Scientist – Senior Research Scientist (Canada)
🏢 Oncoscope
📍 Canada