Strategic Project Lead - Healthcare

Team: Applied AI & Research

Location: Remote US

Commitment: Permanent - Regular Full-time

Workplace Type: remote

Your Impact

Youll own the success of frontier financial AI pilots, turning emerging use cases into validated programs that meet defined standards for financial quality, feasibility, and cost. 

You will shape how market data, financial statements, filings, disclosures, and quantitative and risk models are used for model training and evaluation. 

This role is responsible for turning a pilot into a scalable project including workflows, expert requirements, and quality standards, developed with researchers and Appens global delivery teams. 

What You Bring

2+ years in clinical practice, healthcare, medical research, or life sciences, with a track record of leading complex projects or multidisciplinary teams.
Strong stakeholder-management skills with the ability to translate ambiguous requirements into clear specifications.
Comfortable working in a fast-paced, global environment where priorities and AI capabilities evolve quickly. 

Nice to Have

Experience with AI or ML companies, AI labs, or data annotation and evaluation projects.
Experience managing finance-focused, technical, or data-intensive projects.
Familiarity with data pipelines, AI training workflows, model evaluation, or human-in-the-loop operations. 

Why Youll Love Working Here

At Appen, we foster a culture of innovation, collaboration, and excellence. We value curiosity, accountability, and a commitment to delivering the highest quality AI solutions for frontier models.

Youll work on complex challenges that shape the future of AI across industries and geographies, alongside talented people in a culture that values humility over ego. Youll have the flexibility to deliver in a way that works for you and your team, supported by tools, resources, and development opportunities to continue to build your capability over time.

About Appen

Appen has been a leader in AI training data for over 30 years. We specialise in human generated data to train, fine tune, and evaluate models across generative AI, large language models, computer vision, and speech recognition. Our AI assisted data annotation platform and global crowd of more than 1 million contributors in over 200 countries support model pre training, supervised fine tuning, evaluation and benchmarking, safety and red teaming, and multilingual global expansion.