Postdoctoral Fellow: Computational Genomics & Network Medicine

Complex Systems Society; Boston (MA); On-site; USD 55,000 - 75,000; Full time

Job summary

A leading research institution is seeking a Postdoctoral fellow in Computational Biology and Network Medicine to conduct innovative research focused on childhood asthma. The successful candidate will analyze complex genomic data, employing statistical methods and working in an interdisciplinary team. Candidates must have a Ph.D. in a quantitative field, excellent programming skills in Python or R, and experience with genomic data. This position offers a collaborative environment with significant mentorship opportunities.

Qualifications

• Applicants should hold a Ph.D. in computational biology, bioinformatics, genetics, statistics, or similar.
• Strong programming skills in Python or R are essential.
• Prior experience with handling large datasets is required.

Responsibilities

• Conduct research at the intersection of genomic medicine and computational biology.
• Analyze multi-omic data and develop methods for integrative omics.
• Work in a collaborative research ecosystem with clinicians and geneticists.

Skills

Strong programming skills in Python or R

Experience with large datasets

Analyzing high-throughput genomic data

Communication skills

Adherence to reproducible research standards

Education

Ph.D. in a relevant quantitative field

Job description

A leading research institution is seeking a Postdoctoral fellow in Computational Biology and Network Medicine to conduct innovative research focused on childhood asthma. The successful candidate will analyze complex genomic data, employing statistical methods and working in an interdisciplinary team. Candidates must have a Ph.D. in a quantitative field, excellent programming skills in Python or R, and experience with genomic data. This position offers a collaborative environment with significant mentorship opportunities.