University of Southern California

Programmer Analyst II

Posted 9 Days Ago

Los Angeles, CA

117K Annually

Junior

Edtech

The Role

The Programmer Analyst II will develop algorithms to predict health conditions from complex datasets, create risk stratification models and enhance interpretability with visualization techniques. Ideal candidates have experience in machine learning, deep learning, and statistical analysis.

Summary Generated by Built In

The USC Mark and Mary Stevens Neuroimaging and Informatics Institute and Laboratory of Neuro Imaging (INI, www.ini.usc.edu) are world leaders in the development of advanced computational and scientific approaches for the comprehensive mapping of brain structure and function. LONI’s unique multidisciplinary environment and cutting-edge resources allow for integration of clinical, psychological and genotypic information with neuroimaging phenotypes for research questions in neurology, psychiatry and developmental neurobiology.

The USC Mark and Mary Stevens Neuroimaging and Informatics Institute and Laboratory of Neuro Imaging - is recruiting a talented full-time Programmer Analyst with expertise in machine learning/ deep learning, informatics, and algorithm development to address important questions related to the environmental, psychological, and biological impacts on brain health. Primary responsibilities will include developing sophisticated algorithms to discover interpretable multi-way interactions that predict various health conditions and phenotypes from complex data types (e-health, brain imaging, biometrics, environmental). Tasks will also include development of risk stratification models to understand person-level risk and risk reduction strategies. An emphasis will be placed on the use of visualization techniques to optimize the interpretability of the predictive models. Individuals with post graduate certifications in computer science courses through Edx or another platform are also strongly encouraged to apply. Proficiency in oral and written communication is required.

Preferred Qualifications:

Master’s degree in math and computer science (or related field)
2-4 years of professional experience
Experience using statistical computer languages (e.g., R, Python, etc.) and scripting to manipulate and analyze data from large datasets.
Experience working with and creating hierarchical data models and architecture, and using data visualization tools (e.g., Tableau, ArcGIS).
Knowledge and experience working with current modeling tools (e.g., clustering, quantile regression), machine learning algorithms (e.g., gradient boosted machines, AdaBoost, ExtraTrees, etc.), deep learning techniques (e.g., 3D CNNs), and applied statistical concepts (e.g., distributions, mixed models, random effects)
Evidence of algorithm development in an open domain (e.g., GitHub).
Experience using SHapley Additive exPlanations (SHAP), PDPbox, and group-based trajectory modeling (for any data type) are strongly encouraged to apply.

Minimum Education: Bachelor's degree, Combined work experience and education as equivalent
Minimum Experience: 1 year, Combined education/experience as substitute for minimum experience
Minimum Field of Expertise: Sound knowledge of programming and documentation procedures, programming methods, program flow charts and operator instructions. Knowledge of one or more appropriate computer languages.
Develops software applications using programming languages to the given design specifications. Follows design specifications to code, test, debug, install, document, and maintain software applications. Develops new and enhanced functionality for software applications. Prepares code documentation in support of program development. Performs work of moderate complexity and handles most activities under general supervision of more experienced programming staff.

USC is a smoke-free environment

USC is an equal opportunity, affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other characteristic protected by law or USC policy. USC will consider for employment all qualified applicants with criminal records in a manner consistent with applicable laws and regulations, including the Los Angeles County Fair Chance Ordinance for employers and the Fair Chance Initiative for Hiring Ordinance, and with due consideration for patient and student safety. Please refer to the Background Screening Policy Appendix D for specific employment screen implications for the position for which you are applying.

We provide reasonable accommodations to applicants and employees with disabilities. Applicants with questions about access or requiring a reasonable accommodation for any part of the application or hiring process should contact USC Human Resources by phone at (213) 821-8100, or by email at [email protected]. Inquiries will be treated as confidential to the extent permitted by law.