Applied Scientist, Life Sciences Applied AI

TL;DR

Applied Scientist (AI/ML): Inventing and deploying state-of-the-art machine learning algorithms and intelligent AI systems to solve complex problems in healthcare and life sciences, with an accent on Agentic systems and early-stage product development. Focus on analyzing large amounts of data, designing experiments, and developing statistical and ML models to make a meaningful impact on patient lives.

Location: Must be based in Seattle, WA, USA

Salary: $142,800.00 - $193,200.00 USD annually

Company

hirify.global is a multidisciplinary team within AWS focusing on leveraging secure, scalable cloud computing and applied AI to solve complex challenges in healthcare and life sciences.

What you will do

• Design, develop, and deploy novel Agentic systems and ML solutions for complex healthcare and life sciences challenges.
• Navigate ambiguity and create clarity in early-stage product development.
• Collaborate with product managers, engineers, and domain experts to transform research into production-quality features.
• Mentor junior scientists and participate in tactical and strategic planning.
• Solve real-world problems by analyzing data, generating insights, designing simulations and experiments, and developing statistical and ML models.

Requirements

• PhD, or Master's degree and 4+ years of experience in CS, CE, ML or a related field.
• 3+ years of experience building machine learning models or developing algorithms for business applications.
• Experience in patents or publications at top-tier peer-reviewed conferences or journals.
• Experience programming in Java, C++, Python or a related language.
• Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel/distributed computing, or high-performance computing.

Nice to have

• 5+ years of experience building machine learning models or developing algorithms for business applications.
• Experience with predictive modeling in healthcare, pharmacology, or clinical trial contexts.
• Experience working with healthcare data (e.g., EHR, clinical trials, medical claims).
• Familiarity with time series analysis, causal inference methods, and explainable AI approaches.
• Understanding of synthetic data generation techniques (e.g., GANs) for healthcare applications.
• Experience in applying Generative AI and building Agentic systems.

Culture & Benefits

• Comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D), EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage.
• 401(k) matching.
• Paid time off and parental leave.
• Inclusive culture empowering Amazonians to deliver the best results for customers.
• Work in a multidisciplinary team valuing customer obsession, technical excellence, innovation, and commitment to improving patient outcomes through technology.