Senior Applied Scientist (AI, Healthcare and Life Science Services)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Applied Scientist (AI, Healthcare and Life Science Services): Inventing, implementing, and deploying state-of-the-art machine learning algorithms and intelligent AI systems to solve complex problems in the life sciences area, making a meaningful impact on patient lives with an accent on designing novel Agentic systems and ML solutions for complex healthcare challenges. Focus on transforming research into production-quality features and establishing best practices for ML experimentation, evaluation, development, and deployment.
Location: USA, WA, Seattle
Salary: 167,100.00 - 226,100.00 USD annually
Company
is a multinational technology company that focuses on e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.
What you will do
- Design, develop, and deploy novel Agentic systems and ML solutions for complex healthcare challenges.
- Establish best practices for ML experimentation, evaluation, development, and deployment.
- Collaborate with product managers, engineers, and domain experts to transform research into production-quality features.
- Mentor junior scientists and contribute to the technical strategy of the team.
Requirements
- PhD, or Master's degree and 8+ years of applied research experience.
- 8+ years of building machine learning models for business application experience.
- Experience programming in Java, C++, Python or related language.
- Experience with neural deep learning methods and machine learning.
- Proficiency in Python and modern ML frameworks (PyTorch, TensorFlow, etc.).
- Applied Research experience in Bioinformatics, Pharmacology, Pharmacometrics, or other related fields.
Nice to have
- PhD in computer science, machine learning, engineering, or related fields, or a Associate's degree or above and experience in causal modeling like graphical models, causal Bayesian network, potential outcomes, A/B testing, experiments, quasi-experiments, and data science workflows.
- 3+ years of working with or evaluating AI systems experience.
- Experience with predictive modeling in healthcare, pharmacology, or clinical trial contexts.
- Experience working with healthcare data (e.g., EHR, clinical trials, medical claims).
- Understanding of synthetic data generation techniques (e.g., GANs) for healthcare applications.
Culture & Benefits
- offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage).
- 401(k) matching.
- Paid time off, and parental leave.
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