"Associate Research Scientist"

Job Summary

This role involves a deep dive into biological systems using computational techniques. The candidate will help design and implement algorithms to analyze complex biological data (like high-throughput sequencing data) and build predictive models to understand biological mechanisms at a systems level. The position requires a strong background in computational biology.

Responsibilities

• Conduct independent research while collaborating effectively with other team members.
• Analyze high-throughput sequencing and other multiomic data using bioinformatics tools.
• Develop models to predict how genomic and epigenomic variations influence biological phenotypes.
• Author research papers and contribute to scientific publications.

Qualifications

• PhD in Genetics, Bioinformatics, Computer science, Data science, Statistical Genomics or a related discipline

Preferred Qualifications

2-5 years of research experience after completing a Ph.D. and demonstrated proficiency in the relevant scientific disciplines outlined above.

Columbia University is an Equal Opportunity Employer / Disability / Veteran

Pay Transparency Disclosure

The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University’s good faith and reasonable estimate of the range of possible compensation at the time of posting.