SCIENTIFIC OPERATIONS MANAGER

At Future Fertility, we’re revolutionizing the IVF journey with AI-powered quality assessments that bring clarity and confidence to fertility care, starting with the egg. Our innovative technology is used by leading clinics worldwide, empowering both doctors and patients with data-driven insights to optimize treatment decisions for patients going through egg freezing or IVF.
As a fast-growing, mission-driven company, we’re looking for passionate, forward-thinking individuals to join our team. At Future Fertility, we are committed to building and fostering an environment where our employees feel heard, respected, and empowered. We take a “people-first” approach to our team, and we pride ourselves in being a values-driven organization.
If you’re excited about the intersection of AI, healthcare, and reproductive medicine—and want to make a real impact in people’s lives—we’d love to hear from you!

QUALIFICATIONS

• Master’s degree in a relevant field, such as human reproduction or health sciences
• 5 years of relevant experience in the health tech or similar technical/scientific field, strong preference given to those with knowledge and experience in ART/Fertility industry
• 1-2 years experience managing a team
• Basic understanding of artificial intelligence and application in the fertility field
• Basic abilities in data analytics, programing (R and Python), and reporting
• Strong scientific review and writing skills, priority given to candidates who have presented research at conferences or had publications in peer- reviewed journals
• Experience working with CRM / ERM systems
• Multi-language capabilities are an asset

• Team Management: lead the team to deliver on project management and execution of scientific studies with global partners. This includes performance and career development for team members, development of unit and individual goals and learning& development plans.
• Project Management: documentation of study details and affiliated workflows for potential and current data partners. Ensuring data partners’ study goals, protocols, and key stakeholders are clearly defined. Assist in prioritization and design of studies to align with FF’s overall scientific strategy.
• Clinic Relations: Manage working relationship with data partners to oversee clinical studies. Collaborate with Client Success and Customer Support teams to ensure successful execution of studies, engagement of appropriate internal and external stakeholders to support completion. Support Sales and Client Success teams in defining key milestones / study outcomes required to convert data partnerships to commercial relationships.
• Scientific Publication: Support CMO and Head of Clinical Embryology & Scientific Operations to oversee scientific publication and thought leadership at FF, supporting the development and presentation of abstracts, research papers and publications.
• Data Collection: Support CTO and Head of Clinical Embryology & Scientific Operations with data extradition, processing and analysis, utilizing programming skills and knowledge of reproductive biology/IVF to process and analyze large data sets received from a variety of sources.