Research Assistant I
San Diego State University, San Diego, CA, United States
The pay rate for this position is $22.00 per hour depending upon qualifications and is non-negotiable.
Responsibilities
Data Acquisition and Management
Develop and implement automated data extraction pipelines from structured and unstructured data sources (e.g., databases, APIs, web scraping).
Ensure data integrity, consistency, and proper documentation of data sources and workflows.
Maintain and update datasets to support ongoing model development and analysis.
Data Cleaning and Pre‑Processing
Perform data cleaning, transformation, and normalization to prepare datasets for analysis and modeling.
Handle missing, inconsistent, or noisy data using appropriate statistical and computational methods.
Engineer and select relevant features to improve model performance.
Machine Learning Model Development
Design, build, and optimize machine learning and statistical models for predictive and/or descriptive tasks.
Select appropriate algorithms based on problem type, data characteristics, and performance requirements.
Conduct hyperparameter tuning and model optimization.
Model Evaluation and Validation
Evaluate model performance using appropriate metrics (e.g., accuracy, precision/recall, RMSE, AUC).
Perform cross‑validation and robustness checks to ensure generalizability.
Document model assumptions, limitations, and performance outcomes.
Data Analysis and Insight Generation
Conduct exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
Generate visualizations and summaries to communicate findings effectively.
Support decision‑making by translating analytical results into actionable insights.
Collaboration and Team Support
Work closely with team members, including domain experts and stakeholders, to understand project requirements and objectives.
Assist with ad hoc data analysis requests and contribute to ongoing research or product development efforts.
Participate in team meetings, code reviews, and documentation practices.
Documentation and Reproducibility
Maintain clear and comprehensive documentation of data pipelines, modeling processes, and analytical workflows.
Ensure reproducibility of analyses and models through version control and best practices.
Other Duties
Other duties as assigned (5%)
Education / Experience
Minimum Qualifications
None
Preferred Qualifications
Prior experience in developing end‑to‑end machine learning pipelines or applications.
Familiarity with cloud computing platforms (e.g., AWS, Google Cloud, Azure).
Experience with version control systems (e.g., Git).
Domain knowledge relevant to the team’s focus area.
Additional Applicant Information
Candidate must reside in California and live within a commutable distance from SDSU at time of hire.
Job offer is contingent upon satisfactory clearance based on background‑check results (including a criminal record check).
San Diego State University Research Foundation is an equal opportunity employer. Consistent with California law and federal civil rights laws, SDSU Research Foundation provides equal opportunity in employment without unlawful discrimination or preferential treatment based on race, sex, color, ethnicity, or national origin or any other categories protected by federal or state law.
Employment decisions are based on an individual’s qualifications as they relate to the job under consideration. Our commitment to equal opportunity means ensuring that every employee has equal access to resources and support.
SDSU Research Foundation complies with Titles VI and VII of the Civil Rights Act of 1964, Title IX of the Education Amendments of 1972, the Americans with Disabilities Act (ADA), Section 504 of the Rehabilitation Act, the California Equity in Higher Education Act, California’s Proposition 209 (Art. I, Section 31 of the California Constitution), and other applicable state and federal anti‑discrimination laws including grant or contract terms and conditions related to funded program activities. Further the SDSU Research Foundation maintains a Nondiscrimination Policy that prohibits discriminatory preferential treatment, segregation based on race or any other protected status, and all forms of unlawful discrimination, harassment, and retaliation in all programs, policies, and practices.
SDSU Research Foundation makes all employment decisions including, but not limited to, applicant screening, hiring, promotion, demotion, compensation, benefits, disciplinary actions, and terminations on the basis of merit.
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Responsibilities
Data Acquisition and Management
Develop and implement automated data extraction pipelines from structured and unstructured data sources (e.g., databases, APIs, web scraping).
Ensure data integrity, consistency, and proper documentation of data sources and workflows.
Maintain and update datasets to support ongoing model development and analysis.
Data Cleaning and Pre‑Processing
Perform data cleaning, transformation, and normalization to prepare datasets for analysis and modeling.
Handle missing, inconsistent, or noisy data using appropriate statistical and computational methods.
Engineer and select relevant features to improve model performance.
Machine Learning Model Development
Design, build, and optimize machine learning and statistical models for predictive and/or descriptive tasks.
Select appropriate algorithms based on problem type, data characteristics, and performance requirements.
Conduct hyperparameter tuning and model optimization.
Model Evaluation and Validation
Evaluate model performance using appropriate metrics (e.g., accuracy, precision/recall, RMSE, AUC).
Perform cross‑validation and robustness checks to ensure generalizability.
Document model assumptions, limitations, and performance outcomes.
Data Analysis and Insight Generation
Conduct exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
Generate visualizations and summaries to communicate findings effectively.
Support decision‑making by translating analytical results into actionable insights.
Collaboration and Team Support
Work closely with team members, including domain experts and stakeholders, to understand project requirements and objectives.
Assist with ad hoc data analysis requests and contribute to ongoing research or product development efforts.
Participate in team meetings, code reviews, and documentation practices.
Documentation and Reproducibility
Maintain clear and comprehensive documentation of data pipelines, modeling processes, and analytical workflows.
Ensure reproducibility of analyses and models through version control and best practices.
Other Duties
Other duties as assigned (5%)
Education / Experience
Minimum Qualifications
None
Preferred Qualifications
Prior experience in developing end‑to‑end machine learning pipelines or applications.
Familiarity with cloud computing platforms (e.g., AWS, Google Cloud, Azure).
Experience with version control systems (e.g., Git).
Domain knowledge relevant to the team’s focus area.
Additional Applicant Information
Candidate must reside in California and live within a commutable distance from SDSU at time of hire.
Job offer is contingent upon satisfactory clearance based on background‑check results (including a criminal record check).
San Diego State University Research Foundation is an equal opportunity employer. Consistent with California law and federal civil rights laws, SDSU Research Foundation provides equal opportunity in employment without unlawful discrimination or preferential treatment based on race, sex, color, ethnicity, or national origin or any other categories protected by federal or state law.
Employment decisions are based on an individual’s qualifications as they relate to the job under consideration. Our commitment to equal opportunity means ensuring that every employee has equal access to resources and support.
SDSU Research Foundation complies with Titles VI and VII of the Civil Rights Act of 1964, Title IX of the Education Amendments of 1972, the Americans with Disabilities Act (ADA), Section 504 of the Rehabilitation Act, the California Equity in Higher Education Act, California’s Proposition 209 (Art. I, Section 31 of the California Constitution), and other applicable state and federal anti‑discrimination laws including grant or contract terms and conditions related to funded program activities. Further the SDSU Research Foundation maintains a Nondiscrimination Policy that prohibits discriminatory preferential treatment, segregation based on race or any other protected status, and all forms of unlawful discrimination, harassment, and retaliation in all programs, policies, and practices.
SDSU Research Foundation makes all employment decisions including, but not limited to, applicant screening, hiring, promotion, demotion, compensation, benefits, disciplinary actions, and terminations on the basis of merit.
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