UMass Chan Medical School is seeking a Computational Biologist to join their interdisciplinary research team focused on autoimmune diseases. The role involves processing and analyzing large-scale datasets such as RNA-seq and proteomics, as well as developing new analytical methods. Ideal candidates will have a Master's degree and strong proficiency in R or Python. The position offers an opportunity to work closely with experts in immunology and human genetics, contributing to significant research projects.
Qualifications
1-3 years of related experience.
Strong understanding of complex datasets.
Responsibilities
Process and analyze large-scale datasets including RNA-seq, ATAC-seq, proteomics.
Develop new analysis methods as necessary.
Perform clustering and trajectory inference to define immune cell states.
Integrate genetic, molecular, and clinical features for analysis.
Present findings and contribute to publications.
Skills
Strong proficiency in R or Python
Statistical modeling
Data visualization
Linear models
Mixed-effect models
Machine learning
Unix/Linux environments
HPC or cloud-based resources
Education
Master’s degree in Computational Biology or related field
Ph.D. in a related quantitative field
Tools
R
Python
Docker
Singularity
Snakemake
Nextflow
Job description
UMass Chan Medical School is seeking a Computational Biologist to join their interdisciplinary research team focused on autoimmune diseases. The role involves processing and analyzing large-scale datasets such as RNA-seq and proteomics, as well as developing new analytical methods. Ideal candidates will have a Master's degree and strong proficiency in R or Python. The position offers an opportunity to work closely with experts in immunology and human genetics, contributing to significant research projects.