Programmer/Analyst I

Programmer/Analyst     ·       San Francisco, CA      ·     Full time 

Job Category: Programmer/Analyst
Requisition Number: PROGR001232

Posting Details

Posted: March 11, 2022
Full-Time
San Francisco, CA 94121, USA

Description

Northern California Institute for Research and Education (NCIRE) is the leading nonprofit research institute in the United States devoted to advancing Veterans health research. NCIRE is part of one of the world’s most dedicated and successful Veterans care communities, pioneering new treatments and understandings of military medicine and care.

Along with our partners at the San Francisco VA Medical Center and the University of California, San Francisco, we are working to discover and develop effective, safe, and practical treatments for military injuries and diseases affecting Veterans. Through new technologies, novel scientific insights, and international clinical collaborations, we strive to set a new standard of health care research for Veterans and military personnel.        

Description:

The UCSF/NCIRE Center for Medical Imaging Informatics and Artificial Intelligence (MedAI; https://medai.ucsf.edu)  is one of the world leaders in the development of advanced computational and scientific approaches for biomarker discovery for detecting the changes associated with disease specific neuropathology, improving understanding of pathophysiological progression and potentially providing a means of monitoring the efficacy and regional specificity of drug therapy for neurodegenerative diseases. MedAI’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 and psychiatry.

MedAI 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 working with neuroimaging data and developing sophisticated algorithms to discover interpretable multi-way interactions that predict various health conditions and phenotypes from complex data types (brain imaging, fluid biomarkers, cognitive biometrics, neuropsychological, environmental). Individuals with post graduate certifications in computer science courses through Edx or another platform are also strongly encouraged to apply.

Essential Functions:

• Develop sophisticated algorithms with neuroimaging data to discover interpretable multi-way interactions that predict various health conditions and phenotypes from complex data types
• 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.

Job Requirements:

• Minimum education: Bachelor’s degree, combined work experience and education as equivalent, with 1 year 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. Experience in neuroimaging and use of deep learning in neuroimaging data is required.
• Preferred: Master’s degree in math and computer science (or related field) with 2-4 years of professional experience.
• Proficiency in oral and written communication is required.
• Preferred: experience using statistical computer languages (e.g., R, Python, etc.) and scripting to manipulate and analyze data from large datasets.
• Preferred: experience working with and creating hierarchical data models and architecture, and using data visualization tools (e.g., Tableau, ArcGIS).
• Preferred: 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).
• Preferred: evidence of algorithm development in an open domain (e.g., GitHub).
• Preferred: experience using SHapley Additive exPlanations (SHAP), PDPbox, and group-based trajectory modeling (for any data type) are strongly encouraged to apply.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c)

Please click here to apply.