Join the team!
At Nym, some of the smartest, most talented individuals are shaping the future of healthcare. You can be one of them.
We offer a fast-paced startup experience in a fun and flexible work environment. Join a versatile team of big thinkers that is reshaping the field of natural language understanding in healthcare. As our HQ is located in Boston and our R&D office in the heart of Tel Aviv, great food and entertainment are right outside the office.
We’re looking for experienced Computational Linguists, Physicians, Algorithm Developers, Data Science Engineers, Healthcare Information Management Experts and Healthcare IT Account Executives.
Talent Acquisition Lead
About The Position
Nym is an exciting, fast-growing startup in the AI for Healthcare space and we are looking for a Talent Acquisition Leader to be part of our growth. This role will report directly to VP, Head of HR and will be a key partner to:
- Establish and own amazing candidate experience
- Define and implement hiring processes, infrastructures & analytics
- Lead end 2 end hiring of the most valuable assets of Nym’s – its people!
- Source and develop innovative sourcing strategies to build a robust candidate pipeline and attract the best talent
- Mentor Nym’s managers through the talent acquisition journey
- Own onboarding process and plan for new hire
- At least 4+ years of recruiting experience in a tech-focused environment. High advantage for global hiring experience and start-up experience
- Proactive & impact-oriented in order to achieve goals
- People person with strong relationship-building skills
- Passionate about being part of a fast-paced start-up environment focused on execution and building talent acquisition discipline from scratch
- Strong organizational skills - ability to structure work processes, prioritize your tasks and self-lead
- Savvy for data analytics & measurement – take decisions based on data, build clear data measurement for managing effective and quality hiring process, ongoing improvement based on quality and quantitative data
- High level of conversational and written English