The University of Texas MD Anderson Cancer Center is hiring: Data Analyst in San

Job Title: Data Analyst

Job Number: 35708

Location: 10865 Road To The Cure San Diego, CA 92121

Job Description

The Data Analyst, with limited guidance from more experienced team members, works independently and collaboratively on multiple moderate-to-complex projects. This role is essential in supporting the team by maintaining and enhancing legacy code and computational environments, ensuring that existing systems continue to function smoothly while integrating new solutions. The Data Analyst plays an active role in project planning and data analysis, offering statistical support for product development while ensuring compliance with FDA regulations.

Responsibilities

1. Conduct bioinformatics and data analyses within various product or technology areas, identifying problems, discrepancies, and opportunities for data-driven solutions.
2. Independently plan and analyze results of computational biology experiments and omics (e.g., NGS/RNA sequencing, mass spectrometry-based proteomics) within cellular therapeutic and exosome-related projects.
3. Manage and process bioinformatics data within Linux-based or AWS cloud computing environments.
4. Develop, maintain, and optimize code and data pipelines for NGS and other data-driven applications.
5. Provide statistical support for product development, ensuring FDA-compliant data analysis and reporting.
6. Contribute technical input to project planning, experimental design, and data analysis strategies.
7. Apply statistical, computational, and programming methods to improve and create new bioinformatics solutions for complex datasets.
8. Maintain up-to-date knowledge of bioinformatics tools, methods, and technologies that enhance product development or improve computational workflows.
9. Prepare and present detailed technical reports, procedures, and data summaries to internal and external stakeholders.
10. Provide insights, technical solutions, and data reports to support scientific publications, project meetings, and regulatory submissions.
11. Lead or participate in the development and execution of research plans, ensuring projects meet technical and organizational goals.
12. Analyze large-scale data, evaluate trends, and address nonconforming or outlier data in relation to process and product development.
13. Collaborate across teams to deliver data analysis that informs decision-making for therapeutics development.
14. Present results and defend technical findings at group meetings and project discussions.
15. Act as a technical leader on moderate to complex projects, providing mentorship to junior bioinformatics staff.
16. Apply advanced programming skills and statistical knowledge to interpret results, troubleshoot data pipelines, and solve computational challenges.
17. Prioritize and manage multiple projects simultaneously, adapting to frequent shifts in priorities.
18. Demonstrate excellent analytical, problem-solving, and decision-making skills.
19. Ensure data analysis and reporting are aligned with FDA regulations and internal quality management systems.
20. Work collaboratively across teams, fostering a positive and open working environment.
21. Maintain reliable attendance and a commitment to project deadlines.
22. Ability to work on a computer for the majority of the workday, and travel up to 3% of working time as needed.

Required Skills

1. Master's degree in computer science, data science, mathematics, bioinformatics, biochemistry, or a related field with 1+ years of experience; or Bachelor's degree in a relevant field with 5+ years of experience.
2. Strong coding skills, with proficiency in at least three programming or scripting languages (e.g., Python, R, Nextflow, SQL, C++).
3. Experience in Linux-based HPC and/or cloud computing environments and associated tools (e.g., AWS, Google CCS, MS Azure).
4. Solid understanding of statistical and mathematical methods applied to data science or computational tasks, with hands-on experience using statistical software such as R, Python, or similar.
5. Ability to design and implement algorithms, analyze large datasets, and develop custom software solutions.