Research Data Analyst

General Information

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Work Location: Los Angeles, USA Onsite or Remote Fully On-Site Work Schedule Variable between the hours of Monday through Friday, 8:00am - 5:00pm Posted Date 01/22/2025 Salary Range: $6983.33 - 14950 Monthly Employment Type 1 - Staff: Contract Duration 1 year Job # 21578

Primary Duties and Responsibilities

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This role is responsible for the construction, management, and statistical analysis of research data in a systems immunology laboratory. Working closely with faculty and staff, the incumbent will oversee data quality control, statistical modeling, ensuring the integrity and accuracy of all research data. The position requires a high level of independence, as you will collaborate with research teams to provide customized statistical analyses, craft statistical sections for manuscripts and grant proposals, and summarize key findings in a clear and actionable manner. With a focus on delivering precise and meaningful insights, this role is essential to advancing research projects and contributing to the success of scholarly publications and funding applications.

Ideally, a candidate would have extensive experience with python and R, experience with machine learning modeling (PLS-DA/PLS-R, Neural Networks, Random Forest, etc.), next-generation sequencing data handling and analysis, bachelors-level biology and immunology background is a plus, and will be expected to stay current with advancements in Machine Learning and advocate for the appropriate application of those advancements in the lab.

This position is fully on-site with opportunity to transition to a hybrid schedule. 

Salary: $6,983.33 - $14,950 monthly 

Job Qualifications

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Required:

• Bachelor’s degree in Statistics/Computer Science/Bioinformatics/Data Specification/ Data Science/Computational or equivalent experience/training.
  
• 3-5 years of experience in Statistics/Computer Science/Bioinformatics/Data Specification/ Data Science.
  
• Knowledge of basic and multivariate statistics.
  
• Knowledge of research design.
  
• Competency in statistical software applications (e.g., R, SAS, STATA).
  
• Ability to conceptualize and construct tables and graphs.
  
• Working knowledge of statistical and/or medical terminology.
  
• Ability to summarize statistical analyses for collaborators.
  
• Knowledge of statistical techniques.
  
• Ability