Computational Biologist: Regenerative Genomics & scRNA-seq

Tufts University; Medford (MA); On-site; USD 74,000 - 111,000; Full time

Job summary

Tufts University’s Allen Discovery Center seeks an experienced computational biologist to lead analysis for limb regeneration studies in mouse and Xenopus. You will design and interpret high-dimensional RNA-seq datasets, collaborate with experimentalists to ensure rigorous statistics, and develop novel computational methods when needed.

You will work with senior scientists to integrate data across experiments, produce publication-quality figures, and contribute to manuscripts and grants.

Qualifications

• Ph.D. or equivalent with relevant experience in computational biology, genomics, or related field.
• Demonstrated experience analyzing single-cell RNA-seq data.
• Strong proficiency in R and/or Python; solid statistics and experimental design background.
• Ability to work independently while collaborating with experimental scientists.
• Peer-reviewed publications are required.

Responsibilities

• Lead design, analysis, and interpretation of high-dimensional datasets (single-cell and bulk RNA-seq).
• Develop reproducible workflows and integrate data across experiments and species.
• Communicate findings via visualizations, reports, and manuscripts.
• Collaborate with wet-lab teams on experimental design and data interpretation.
• Mentor graduate students or postdoctoral scholars and participate in teaching.
• Maintain organized analytical records and data provenance.

Skills

Single-cell RNA-seq analysis

Biostatistics

Experimental design

Scientific data visualization

Education

Ph.D. in computational biology or related field

Master's degree in computational biology or related field

Tools

R

Python

Job description

Tufts University’s Allen Discovery Center seeks an experienced computational biologist to lead analysis for limb regeneration studies in mouse and Xenopus. You will design and interpret high-dimensional RNA-seq datasets, collaborate with experimentalists to ensure rigorous statistics, and develop novel computational methods when needed.

You will work with senior scientists to integrate data across experiments, produce publication-quality figures, and contribute to manuscripts and grants.