Careers Job Description
General Description
We are seeking a programmer/analyst to support the project “Towards a Framework for Algorithmic Bias and Fairness in Predicting Treatment Outcome for Opioid Use Disorder.” This role will involve developing statistical algorithms to identify and mitigate bias in treatment outcome prediction models, with a focus on biases related to sensitive attributes such as race, ethnicity, sex, and age.
The programmer/analyst will primarily engage in the development and translation of unpackaged Python code into an R package (to be published on CRAN) and packaged R code into Python scripts, while collaborating closely with R package developers. Their responsibilities include data analysis support, encompassing simulation, resampling methods, and cross-validation techniques, aiming to ensure fairness and accuracy in predictive models. This role entails analyzing model performance across various groups using ROC analysis and other metrics, with a special emphasis on addressing biases related to sensitive attributes. Moreover, the candidate will be responsible for developing and implementing algorithms currently in Python into R which balance fairness criteria with model performance, modifying existing Python code previously developed for similar contexts to fit the specific models and outcomes pertinent to this project, and writing all documentation and testing scripts relevant to demonstrate equivalent code output in R and Python.
Other Duties
The candidate is expected to provide weekly updates on their progress and participate in bi-weekly team meetings via Zoom. Co-authorship of scientific papers resulting from this project is possible and encouraged.
Qualifications
The ideal candidate will be a Python programmer with at least 2 years of experience, proficient with Python packages such as pandas, SciPy, NumPy, matplotlib, and plotnine. They must have experience with Git and GitHub, including successful forking of existing projects, tracking issues, and using Actions for continuous integration. The candidate should be capable of working independently with minimal-moderate supervision, have introductory knowledge of R, and be comfortable collaborating with R package developers. Experience in publishing open-source software packages on CRAN is beneficial, but not required. An interest in biomedical research, especially in psychology, epidemiology, or sociology, would be beneficial.
Education: Bachelor’s Degree in relevant field required, Master’s preferred
Certification and Licensing: N/A
Experience: Minimum 1 year of relevant experience
RFCUNY Benefits
RFCUNY Employee Benefits and AccrualsAbout the Research Foundation
The Research Foundation of The City University of New York (RFCUNY) is a nonprofit educational corporation founded in 1963 to provide post-award fiscal and administrative support for CUNY’s research and sponsored programs. RFCUNY’s services allow CUNY researchers, faculty, and staff to focus on their intellectual curiosity and scientific discoveries, on projects and programs that serve our local and global communities, proposing concrete solutions to society’s most pressing challenges.
RFCUNY serves as a fiscal agent and works closely with all the CUNY campus Grants Offices to perform the core functions of post-award financial management for CUNY research projects and sponsored programs. These functions include legal assessment and signing of agreements where RFCUNY is named as a fiscal agent; setting up award accounts; preparing sub-awards and assisting PIs in monitoring the work of the recipients of sub-awards; supporting project directors with hiring and managing research project and sponsored program staff; supporting the purchasing and paying for goods and services with grant and program funds; managing financial aspects of projects including accounts receivable, financial reporting, invoicing, budget monitoring, and cost compliance with uniform guidance; ensuring that sponsor financial requirements are met; monitoring compliance with applicable project and financial management rules and laws; supporting the management of independent and external audits and financial reviews; and providing data, information, management expertise, and other supports to CUNY’s research and sponsored programs.
Equal Employment Opportunity Statement
Key Features
Psychology
Part Time
$92.00-$100.00
20.00-25.00
Dec 19, 2023 (Or Until Filled)