Postdoctoral Research Associate - Yu Lab

About the role

The Yu lab within the School of Computer Science at Carnegie Mellon University is seeking a Postdoctoral Researcher to develop string algorithms and bioinformatics tools for analyzing biological sequence data. The lab has a strong track record in both theoretical advancements and practical applications, particularly in metagenomics and RNA-seq analysis.

Responsibilities

• Lead the development of novel computational methods with a focus on biological relevance.
• Create and refine bioinformatics tools for analyzing various types of biological sequence data.
• Contribute to the theoretical underpinnings of the developed algorithms through rigorous analysis.
• Collaborate with the lab's interdisciplinary team to integrate new methods into existing projects.
• Publish findings in high-impact journals and present results at relevant conferences.

Requirements

• A PhD in Computer Science, Bioinformatics, or a related field.
• Strong background in algorithm design and analysis.
• Experience with bioinformatics tools and techniques.
• Excellent communication skills and ability to collaborate effectively with multidisciplinary teams.
• Ability to publish research in top-tier scientific journals and conferences.

Qualifications

• Proven track record of academic achievement and publication in relevant fields.
• Experience with bioinformatics software development and data analysis.
• Knowledge of computational biology and its applications.
• Interest in biomedical privacy and security, although not the primary focus of this position.

Skills

• Proficiency in programming languages commonly used in bioinformatics (e.g., Python, R).
• Experience with databases and data management systems.
• Understanding of statistical methods and their application to biological data.
• Ability to work independently and as part of a team.

Benefits

• Competitive salary commensurate with experience.
• Flexible working hours and remote work options.
• Access to cutting-edge research facilities and resources.
• Ongoing professional development opportunities.

Pay

Salary is competitive and commensurate with experience.

Schedule

Full-time, 40 hours per week.