Research Data Analyst I, Clinical, Pathology & Lab Medicine

SilkRoad; Boston (MA); On-site; USD 48,000 - 61,000; Full time

Job summary

Boston University Medical Campus seeks a Research Data Analyst I to lead transcriptomics analyses on breast cancer metastasis and infectious disease projects. You will independently process multi-omics data, including single-cell RNA-seq, bulk RNA-seq, and spatial RNA-seq, performing QC, normalization, differential expression and pathway analyses.

Collaborating with wet-lab teams, you will generate publication-ready visualizations and contribute to manuscripts and grant proposals.

Qualifications

• Bachelor's degree required.
• Master's degree preferred in data sciences.
• 1-3 years data sciences experience.

Responsibilities

• Lead end-to-end transcriptomics analyses, including single-cell RNA-seq, bulk RNA-seq, and spatial RNA-seq.
• Perform expression matrix processing, QC, normalization, and differential expression testing.
• Collaborate with wet-lab teams and contribute to manuscripts and grant preparation.

Education

Bachelor's Degree

Master's Degree

Job description

Research Data Analyst I, Clinical, Pathology & Lab Medicine

Category

Boston University Medical Campus --> Professional

Tracking Code

26500860810917

Posted Date

9/29/2026

Salary Grade

Grade 45

Expected Hiring Range Minimum

$48,100.00

Expected Hiring Range Maximum

$60,600.00

The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, training and internal pay comparison. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

Position Type

Full-Time/Regular

Job Description: Research Data Analyst 1 We are seeking a Research Data Analyst computational biologist to lead transcriptomics analysis on research projects investigating breast cancer metastasis and infectious disease. The candidate will independently conduct end-to-end analysis of multi-omics datasets, including single-cell RNA-seq, bulk RNA-seq, and spatial RNA-seq data. Key responsibilities include expression matrix processing, quality control, normalization, differential expression testing with statistical corrections, pathway enrichment analysis, clustering, and publication-quality visualization. The candidate will collaborate with wet-lab teams and contribute to manuscript and grant preparation. Ideal candidates will be detail-oriented, scientifically curious, and able to work independently.

Required Skills

Required: Bachelor's Degree Preferred: Masters Degree, Data Sciences Experience: 1-3 years

We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, natural or protective hairstyle, religion, sex, age, national origin, physical or mental disability, sexual orientation, gender identity, genetic information, military service, pregnancy or pregnancy-related condition, or because of marital, parental, or veteran status. We are a VEVRAA Federal Contractor.