Assists in the execution of research objectives, data collection, and data management. Performs routine procedures, statistical analysis, scientific analysis, and reporting. Integrates data and data sets, performs descriptive and exploratory analysis, and creates routine reports and analysis reporting tools. Utilizes statistical software and adheres to all protocols per Lee-Oesterreich Lab SOP.

Data Management

Develop and implement standard operating procedures (SOPs) for data management

Organize and maintain research databases including management of AWS and HTC data

Ensure data quality and integrity

Assist in data collection and storage processes

Manages a comprehensive tracking system for sequencing projects, systematically documenting and monitoring the relationship between individual sequencing projects and their associated biological samples

Data Analysis

Conduct computational analysis of research data

Apply statistical and bioinformatics techniques to interpret results

Collaborate with research team members on data-driven projects

Contribute to the preparation of reports and publications

Collects, organizes, maintains, reviews, and integrates data and data sets to support analysis and study design.

Performs descriptive and exploratory analyses.

Creates routine reports, charts, exhibits, and other relevant data summarizations and analysis reporting tools.

Utilizes statistical software in analysis and interpretation of research data.

Adheres to research protocols; ensures compliance with all regulations.

Qualifications:

Master's degree in computational biology or related fieldProficient in R programmingExperienced in handling sequencing dataCapable of independent work with minimal supervision

Assists in the execution of research objectives, data collection, and data management. Performs routine procedures, statistical analysis, scientific analysis, and reporting. Integrates data and data sets, performs descriptive and exploratory analysis, and creates routine reports and analysis reporting tools. Utilizes statistical software and adheres to all protocols.

Assists in the execution of research objectives, data collection, and data management. Performs routine procedures, statistical analysis, scientific analysis, and reporting. Integrates data and data sets, performs descriptive and exploratory analysis, and creates routine reports and analysis reporting tools. Utilizes statistical software and adheres to all protocols.

The Data Analyst must be highly organized with a strong attention to detail. The candidate should have excellent written and oral communication skills with meticulous documentation skills. They should be analytical, and data driven with the ability to support multiple projects. They will need to be well versed in computational tools and statistical software's to successfully perform their research.