About the job
As an Applied Scientist on our team, you will focus on building state-of-the-art ML models for healthcare. Our team rewards curiosity while maintaining a laser-focus in bringing products to market. Competitive candidates are responsive, flexible, and able to succeed within an open, collaborative, entrepreneurial, startup-like environment. At the forefront of both academic and applied research in this product area, you have the opportunity to work together with a diverse and talented team of scientists, engineers, and product managers and collaborate with other teams. This role offers a unique opportunity to work on projects that could fundamentally transform healthcare outcomes.
Responsibilities
Design and implement novel AI/ML solutions for complex healthcare challenges
Drive advancements in machine learning and data science
Balance theoretical knowledge with practical implementation
Work closely with customers and partners to understand their requirements
Navigate ambiguity and create clarity in early-stage product development
Collaborate with cross-functional teams while fostering innovation in a collaborative work environment to deliver impactful solutions
Establish best practices for ML experimentation, evaluation, development and deployment
Partner with leadership to define roadmap and strategic initiatives
Qualifications
Minimum
3+ years of building models for business application experience
PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
Experience in patents or publications at top-tier peer-reviewed conferences or journals
Experience programming in Java, C++, Python or related language
Experience in solving business problems through machine learning, data mining and statistical algorithms
Experience in designing experiments and statistical analysis of results
Preferred
Experience using Unix/Linux
Experience in professional software development
Experience in several of the following areas: machine learning, statistics, deep learning, natural language processing, or information retrieval
Experience applying causal inference techniques in artificial intelligence and machine learning systems