You want to interface your expertise in embryology with novel technologies for stem cell engineering to solve ambitious fertility challenges, including the derivation of ovarian cell types and oocytes. You are excited to work at the intersection of multiple biological disciplines utilizing high throughput, scalable technology to answer basic biology questions for applications that address pressing industry and public health needs. You enjoy working in a creative and diverse group of people, leveraging your expertise and on-the-job learning to push innovation in the project.
This position has an estimated annual salary range of $90,000 to $130,000, plus opportunities for equity. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to demonstrated skill set, years and depth of relevant experience, and some role-dependent factors such as certifications and industry expertise.
Gameto is a new breed of a biotechnology company in female reproductive health. We are using cell engineering to develop novel therapeutics for infertility and other diseases of the female reproductive system. Gameto raised $40 million and is currently in preclinical development of a biologic Fertilo with leading fertility clinics in the USA, Spain and Latin America. We are headquartered in New York City, USA and have an office in Madrid, Spain. Gameto is led by physician turned entrepreneur, Dina Radenkovic, and a serial entrepreneur & leader in the fertility space, Martin Varsavsky, founder of Prelude Network, largest proprietary fertility clinics chain in the USA.
Our team is mission-driven, kind, collaborative and authentic. We are determined to rewrite history and use scientific breakthroughs to create products people love. We believe that great results are best delivered by a highly mathematically organized yet simultaneously creative group working together like a synchronous clock.
We are an equal opportunity employer and value diversity at our company; we do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.