Strategic Project Lead – Healthcare

🕒 September 1

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Appen

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1996

💼 Consulting

📣 Marketing

🤖 Artificial Intelligence

Consulting • Marketing • Artificial Intelligence

Appen is a company that specializes in providing high-quality, scalable datasets for AI models and applications. With over 25 years of experience, Appen supports the complete AI lifecycle by collecting, curating, fine-tuning, and monitoring data. Their platform is known for its flexibility, allowing enterprises to unlock the potential of their enterprise data through human-AI collaboration. Appen's global reach and expertise make them a trusted partner in accelerating the development and implementation of AI technologies across various industries.

📋 Description

• Lead complex medical AI data programs from solution design through delivery • Own the quality and direction of complex healthcare AI programs • Translate customer objectives into medical data strategies • Establish standards for how healthcare data is designed, evaluated, and delivered • Turn standards into repeatable approaches, methodologies, and capabilities across Appen's global delivery organization • Bridge customer objectives, clinical expertise, and Appen's global delivery capability • Support strong customer outcomes and expand Appen's healthcare data capability across its portfolio

🎯 Requirements

• Experience managing clinicians, researchers, or other specialist professional communities • Familiarity with healthcare data privacy, security, and responsible AI governance • Experience developing or reviewing medical datasets, annotation guidelines, clinical taxonomies, or evaluation criteria • Exposure to AI companies, frontier AI labs, or healthcare technology organizations

🏖️ Benefits

• Flexible work arrangements • Tools and resources to support delivery • Development opportunities to build capability • Work on complex AI challenges across industries and geographies • Collaborative culture with talented colleagues