Senior Talent Sourcer – Clinical & Data Science

This is a fully remote position, open to applicants in United States.

📋 Description

• Create talent maps spanning clinical, scientific, statistical, and data science fields.

• Discover candidates through various sources such as publications, conference agendas, abstracts, presentations, research initiatives, technical communities, and professional networks.

• Utilize tools like LinkedIn Recruiter, PubMed, ClinicalTrials.gov, ORCID, Google Scholar, GitHub, Kaggle, arXiv, and Hugging Face.

• Formulate Boolean, web search, and research techniques to locate elusive talent.

• Employ AI-driven tools to expedite research, pinpoint potential candidates, organize talent pools, and enhance sourcing efficiency.

• Design focused sourcing campaigns to attract passive candidates.

• Craft personalized outreach strategies based on candidates’ research, publications, presentations, technical skills, and career aspirations.

• Establish enduring relationships and cultivate passive talent communities.

• Produce recruiting materials, manage event follow-ups, implement social media campaigns, and other initiatives aimed at attracting talent.

• Represent the organization at scientific, healthcare, and technical conferences as well as networking events.

• Collaborate with hiring managers to gain insight into talent needs and search strategies.

• Track sourcing and recruiting metrics such as qualified candidates, response rates, conversion rates, time to fill, offer acceptance, and hiring results.

• Assess sourcing channels and campaigns to enhance pipeline quality and recruiting efficiency.

⛳️ Requirements

• Must be a US Citizen.

• A minimum of five (5+) years of progressive experience in specialized, technical, scientific, healthcare, or talent sourcing/recruiting.

• Proven track record with LinkedIn Recruiter, Boolean search techniques, web sourcing, and talent research.

• Experience in sourcing physicians, scientists, PhDs, data scientists, statisticians, or other highly specialized professionals.

• Familiarity with data science areas, including data science, biostatistics, machine learning, data engineering, and analytics.

• Experience in developing proactive recruiting initiatives and engaging with passive candidates.

• Practical experience utilizing AI/LLM tools or AI-enabled recruiting technologies.

• Preferred: Background in healthcare, life sciences, clinical research, pharmaceuticals, regulatory affairs, or government recruiting.

• Preferred: Experience sourcing data scientists, statisticians, AI/ML experts, informaticists, or clinical research talent.

• Preferred: Knowledge of scientific research platforms, professional societies, academic networks, or technical/open-source communities.

• Preferred: Experience in building talent communities and representing an organization at professional conferences.

🏝️ Benefits

• Paid healthcare.

• 401(k) matching.

• An opportunity to engage in meaningful work that aids the mission of federal agencies.

• A collaborative, low-ego culture.

• Opportunities for personal growth through impactful client work.