Technical Associate I/Data Scientist

TECHNICAL ASSOCIATE I/DATA SCIENTIST, Biological Engineering, to implement, design, and build supervised and unsupervised algorithms to predict human performance in behavioral, cognitive, and physical tasks from their molecular features as part of the data science and engineering team within the Fraenkel Lab. Technological advances in the acquisition of biological data over the past decade have resulted in an explosion of information. Computational integration of different data modalities remains a key challenge, however, for researchers aiming to understand the underlying spatial and temporal biological processes. Will address this challenge through the application of state-of-the-art machine learning tools with the goal of generating new testable hypotheses. The main responsibilities include researching, designing, implementing, and comparing novel ML solutions within the multi-omics integration domain for predicting biological aptitude and/or other clinical outcomes; identifying and analyzing biological databases to develop novel feature solutions and develop automated processing tools; assisting with developing research publications and/or related novel intellectual property; and performing other duties as assigned.

Job Requirements

REQUIRED: B.S./BA.Sc in computer science/data science/analytics or a closely related field; two years’ specialized related experience (which may include experience gained as an undergraduate); experience with traditional machine learning techniques such as support vector machines and random forests; experience working with large datasets, munging, feature engineering, and developing machine learning models, preferably on clinical datasets; proficiency with Python/R/SQL; ability to work independently and as part of a team and respond to the dynamic needs of the lab; self-motivation; attention to detail; excellent organizational and communication skills; ability to carefully document and maintain work in detailed written records. PREFERRED: background in biology. Job #21575

Must be able to work some nights and weekends as dictated by project deadlines.