Description:
Aureon’s Machine Learning Department receives data defining a patient’s disease profile from a variety of domains, including clinical information (i.e., race, age), bio-molecular marker expression, and image analysis of the patient’s tissue. 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 analyses
While 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.
Required Qualifications/Background:
- 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 environment
Additional 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. This is a full-time position located in our Yonkers, New York office.
To apply: Email resume/CV to: Faisal.Khan@aureon.com or fax to 914-377-4001.
Who is Aureon?
Aureon Laboratories is dedicated to enabling the advancement of predictive and personalized cancer treatment by performing diagnostic reference laboratory and clinical research services. Aureon Laboratories incorporates Systems Pathology, a method that predicts individual clinical outcomes by analyzing molecular biomarkers within the context of tumor morphometry and clinical observations.
Our current offering, Prostate Px+, is a new prognostic test for newly-diagnosed prostate cancer patients and their physicians, which predict from their biopsy tissue how severe their disease is and the likelihood their cancer will recur if they opt for surgery. This information provided at diagnosis enables more informed treatment selection and appropriate counseling.