Senior Data Scientist, Linus Health

• BS Required, MS preferred (Computer Science, Math, Statistics, Data Science or similar)
• Experience applying deep learning techniques for image and time-series analysis
• Deep knowledge of different deep learning network architectures and their tradeoffs including LSTM, GRU, CNN, RNN, different pooling methods, different activation functions, etc
• Understanding of key deep learning techniques such as transfer learning, drop out, etc
• Use of core statistical methods such as correlation analysis, hypothesis testing, evaluating distributions, etc
• Familiarity with data imputation methods using deep learning such as generative adversarial networks
• Expertise in Python

Desirable

• Learn, apply, and innovate on machine learning algorithms from feature engineering to evaluation with a focus on deep learning
• Systematically investigate statistical and algorithmic approaches to make data driven decisions and achieve accuracy
• Address data challenges such as missing data, class imbalance, small data sizes, and inconsistent formatting
• Develop innovative machine learning applications that combine a variety of data types, including time series, natural language processing, imaging, questionnaires, cognitive assessments, and medical data, …
• Collaborate with clinicians, product managers, and software engineers to develop applied solutions and prioritize research
• Lead initiatives and mentor junior scientists
• Learn and evaluate new machine learning frameworks
• Collaborate effectively and learn from other data scientists to align on best practices and leverage existing tools and knowledge
• Clearly document, track, and communicate results
• Participate with the team on publications and research to promote Linus Health as a thought leader in advanced analytics and machine learning for healthcare