2 дня назад
Talent Partner (Data)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Talent Partner (Data) (AI and biotech): Building talent acquisition strategies and pipelines for Data Science, Data Engineering, and Bioinformatics teams with an accent on sourcing passive candidates, data-driven recruitment, and candidate experience. Focus on advising senior Data leaders, scaling technical teams, and improving recruitment processes across the full hiring lifecycle.
Location: London, United Kingdom; hybrid working with 3 days per week in the office
Company
applies frontier AI and machine learning to drug discovery, developing predictive and generative models to support the design of medicines and advance digital biology.
What you will do
- Partner with senior Data leaders to develop and implement talent acquisition strategies.
- Source and engage passive candidates for Data Science, Data Engineering, and Bioinformatics roles.
- Build candidate pipelines using social media, specialist resources, and industry events.
- Use recruitment data and analytics to track progress and improve hiring outcomes.
- Manage the candidate journey from application through offer negotiation and related administration.
- Collaborate with People Partners, Technical Program Managers, and hiring teams on hiring, onboarding, employer branding, interview training, events, and reporting.
Requirements
- Internal talent partnership experience hiring for Data Science, Data Engineering, and Bioinformatics in a fast-paced technology company.
- Experience organising and launching candidate searches and building initial candidate lists.
- Experience researching talent markets and advising hiring managers on recruitment strategies.
- Experience working with technical stakeholders across Data departments.
- Experience managing highly sought-after candidates through structured interview processes and maintaining strong relationships with hiring teams.
- Ability to work in the London office 3 days per week under the hybrid model.
Nice to have
- Exposure to or knowledge of life science hiring.
- Experience using Greenhouse.
- Experience using G Suite.
Culture & Benefits
- Work in an interdisciplinary environment combining drug discovery expertise and machine learning.
- Values include thoughtfulness, bravery, determination, and collaboration.
- Shared learning, cross-functional collaboration, and a supportive working environment.
- Commitment to equal employment opportunities and reasonable accommodations for additional needs.
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