Senior Machine Learning Scientist - (US-NY-Yonkers - 10710)

Minimum Education: None
Job Type: Full Time
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Responsibilities : The department interacts with doctors, biologists, and other mathematical/technical experts to analyze and integrate diverse information domains and build models of cancer growth. Tasks include: Developing novel algorithms and approaches and/or adapting/improving existing technologies for survival analysis and prognostic predictions Developing feature selection procedures to distill through large datasets in order to identify crucial pieces of information, including gene expression and biomarker data Addressing challenges of missing data and small cohorts that necessitate novel approaches Analyzing and resolving institutional variances in datasets Coordinating with renown worldwide research institutions to design studies and analysesWhile commercially oriented, positions are research based, and individuals continue to publish papers, etc. Additionally, candidates will work in a small company environment and interact daily with doctors, image analysis experts, molecular scientists and others to solve challenges at the unique confluence of systems pathology where many diverse fields converge.

Requirements :Extensive background in regression modeling, feature discovery/selection, optimization, dataset manipulation, exploratory data analysis. Experience with support vector machines Advanced degree in computer science/bioinformatics/related quantitative fields Significant industrial/research experience (at least 7 years post graduate degree) Excellent verbal and written communication skills with respect to technical and non-technical audiences Ability to positively interact and engage as a team member within a collaborative environmentAdditional Desired Characteristics: Experience in survival analysis, Cox proportional hazard modeling Familiarity with Matlab and/or SAS Experience in Software Engineering: design, documentation, etc.Compensation and benefits include: Competitive salary; stock options; 401(k); medical/dental/life insurance; flexible working hours and paid vacation.

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