Description

In this role, you will support the lab's daily operations while developing computational workflows and analyzing genomic datasets. Your work will contribute to original scientific research and foster a collaborative environment for all team members.

Requirements

• •Ph.D. in computer science, bioinformatics, biostatistics, or related field, or at least five years of professional experience as a computational biologist
• •Prior experience in genomics data analysis, including genome assembly and annotation, RNA-seq, ATAC-seq, DNA-seq, or single-cell adaptations
• •Strong proficiency in R, scripting languages (e.g. Python), and Unix/Linux command line
• •Ability to work independently and collaborate effectively in a hybrid lab environment
• •Organizational skills, open-mindedness, and enthusiasm in communication
• •Ability to manage multiple projects and interact productively with diverse teams
• •Working knowledge of English
• •Experience with multi-omics data integration
• •Familiarity with machine learning methods and approaches
• •Previous experience working with non-model organisms
• •Understanding of molecular and sequencing techniques used in single-cell genomics

Tasks

• •Set up computational workflows for genome and transcriptome assembly and annotation across different planarian species
• •Develop pipelines for processing and analyzing bulk and single-cell genomic data
• •Explore and implement data integration methods for cross-species comparisons of single-cell genomic data
• •Analyze single-cell datasets from multiple planarian species to identify species-specific differences in allometry and associated molecular programs
• •Onboard new lab members and coordinate lab tasks
• •Manage reagent and equipment orders to ensure smooth lab operations

Tools & Technologies

Benefits