Neurogenomics Computational Scientist: Single-Cell Data

Broad Institute; Cambridge (MA); On-site; USD 80,000 - 100,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) retirement plan

Paid holidays and time off

Job summary

The Broad Institute in Cambridge, Massachusetts is seeking an outstanding Computational Scientist to join the McCarroll Lab. This role involves developing and optimizing analysis methods on datasets like single-cell RNA-seq and analyzing data related to disease pathogenesis.

The successful candidate will have a PhD and strong skills in Python or R, with at least 2 years of experience. A comprehensive benefits package is offered, including medical, dental, and 401(k) plans.

Qualifications

• 2+ years of direct work experience in a related field.
• Experience analyzing next-gen sequencing data, preferably single-cell RNA-seq data.
• Ability to prioritize tasks thoughtfully.

Responsibilities

• Develop and optimize analysis methods for various datasets.
• Analyze data to address biological questions about disease.
• Create innovative analysis methods and document source code.
• Develop data-visualization capabilities for research.
• Collaborate with scientists and data managers on project workflows.

Skills

Fluency in Python

Fluency in R

Understanding of biology

Data analysis skills

Organizational skills

Education

PhD in Computer Science, Mathematics, Statistics, Biology, Bioinformatics, or a related field

Job description

The Broad Institute in Cambridge, Massachusetts is seeking an outstanding Computational Scientist to join the McCarroll Lab. This role involves developing and optimizing analysis methods on datasets like single-cell RNA-seq and analyzing data related to disease pathogenesis.

The successful candidate will have a PhD and strong skills in Python or R, with at least 2 years of experience. A comprehensive benefits package is offered, including medical, dental, and 401(k) plans.