Recruiter/Recruiting

Arc Institute is an independent nonprofit research organization at the interface of artificial intelligence and biology, working to accelerate scientific progress and understand the root causes of complex diseases. Unlike industry, they're free to pursue high-risk, long-term research without commercial pressures. Virtual Cell Initiative : Building a full-stack virtual cell model to identify disease mechanisms and nominate drug targets, accelerating the path from biological insight to clinical trials.

Alzheimer's Disease Initiative : Mapping the genes, pathways, and environmental factors behind Alzheimer's disease to develop drug candidates that address root causes.

Arc Institute is growing and we're looking for a Recruiter with full cycle recruiting experience across life sciences, biotech, or scientific research. This role will focus on hiring across several of our Technology Centers, including but not limited to multi-omics, genome engineering, cellular modeling, mammalian disease modeling, and computational biology. Our ideal candidate brings a broad scientific recruiting background, experience hiring for leadership positions, and is deeply aligned with our mission and excited to curate an amazing candidate experience.

You love talking science to scientists and getting them excited about new opportunities to drive scientific discovery, across both experimental and computational disciplines.

You've successfully recruited for leadership-level scientific roles and know how to run a search that's as much about relationship-building and market intelligence as it is about pipeline volume.

You dive into data to craft sourcing strategies and think creatively about candidate engagement.

You can influence without authority, whether you're advising a first-time hiring manager or partnering with a senior leader, and you know how to bring stakeholders along on decisions, timelines, and tradeoffs.

Own the full cycle recruiting process for various roles across Arc's Technology Centers, building robust pipelines through active multi-channel sourcing, resume screening, interviewing, and offer closing.

Build strong relationships with a wide range of hiring managers across functions and seniority levels, acting as a trusted advisor throughout the recruiting process — including setting clear expectations, influencing interview and evaluation decisions, and keeping stakeholders aligned and accountable.

Contribute to building and iterating on efficient, scalable recruiting processes alongside the broader recruiting team.

BS/BA degree and 8+ years of full cycle life sciences recruiting; in-house recruiting experience preferred

Demonstrated experience owning a diverse portfolio of roles across scientific functions and levels, including direct experience hiring for senior and leadership roles

Experience recruiting within relevant biology areas (genome engineering, cellular engineering, multi-omics, molecular/cell biology, neuroscience, etc.)

Track record of acting as a true hiring partner — setting expectations, pushing back constructively when needed, and guiding hiring managers through the full recruiting process

Proficiency with an ATS (Greenhouse or similar) and a commitment to data integrity

Familiarity with sourcing and CRM tools such as LinkedIn Recruiter and Gem

Consistent track record of meeting or exceeding hiring goals

Experience recruiting for computational roles such as Machine Learning Research Scientists, Computational Biologists, or Bioinformatics Scientists

These amounts reflect the range of base salary that the Institute reasonably would expect to pay a new hire or internal candidate for this position. The actual base compensation paid to any individual for this position may vary depending on factors such as experience, market conditions, education/training, skill level, and whether the compensation is internally equitable, and does not include bonuses, commissions, differential pay, other forms of compensation, or benefits. This position is also eligible to receive an annual discretionary bonus, with the amount dependent on individual and institute performance factors.

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