Senior Manager, Applied Science
virtual vocationsNew York (NY)
About the role
Leading a team of Applied Scientists, the remote Senior Manager, Applied Science will develop, evaluate, and deploy machine learning models to enhance clinical workflows while mentoring team members and collaborating with cross-functional stakeholders.
Key responsibilities:
Lead, mentor, and develop a high-performance team of Applied Scientists
Translate complex healthcare problems into scalable machine learning solutions
Partner with AI Engineering to scale solutions and ensure reliability and safety of Clinical AIRequired qualificationsPhD with 7+ years or MS with 10+ years of experience in machine learning, data science, or applied AI, including 2+ years in a leadership role
Experience with modern language models and classical ML techniques in production settings
Expertise in statistical methods, experimental design, and model evaluation
Proficiency in Python and familiarity with ML frameworks such as PyTorch and scikit-learn
AWS experience and a track record of collaborating with business functions to drive decision-making
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
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