Senior Applied Scientist, Healthcare and Life Science Services

Amazon

Seattle, WA

JOB DETAILS
SKILLS
A/B Testing, Algorithms, Amazon Web Services (AWS), Artificial Intelligence (AI), Bayesian Networks, Best Practices, Bioinformatics, Biology, Business Model, Business Solutions, C++ Programming Language, Clinical Pharmacology, Clinical Trial, Computer Science, Data Analysis, Data Science, Deep Learning, Experiment Design, Healthcare, Healthcare Software, Java, Machine Learning, Medical Record System, Mentoring, Pharmacology, Predictive Modeling, Problem Solving Skills, Product Development, Product Engineering, Python Programming/Scripting Language, Statistical Modeling, Technical Strategy
LOCATION
Seattle, WA
POSTED
30+ days ago
Description We are looking for an exceptional senior applied scientist to join the AWS Applied AI Life Sciences organization. You will invent, implement, and deploy state of the art machine learning algorithms and intelligent AI systems to solve complex problems in life sciences area, making a meaningful impact on patient lives. You will be at the heart of a growing and exciting focus area for AWS and work with other acclaimed engineers and world famous scientists. Key job responsibilities - Design, develop, and deploy novel Agentic systems and ML solutions for complex healthcare challenges - Navigate ambiguity and create clarity in early-stage product development - 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 A day in the life You will solve real-world problems by getting and analyzing large amounts of data, generate insights and opportunities, design simulations and experiments, and develop statistical and ML models. Basic Qualifications - 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. Preferred Qualifications - 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 Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also 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. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually

About the Company

A

Amazon

At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here

Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles
COMPANY SIZE
10,000 employees or more
INDUSTRY
Other/Not Classified
FOUNDED
1994
WEBSITE
http://Amazon.com/militaryroles