Senior Data Analyst - Biomedical AI & Data Pipelines

Tufts University; Medford (MA); On-site; USD 89,000 - 134,000; Full time

Job summary

Tufts University’s Tufts Institute for AI seeks a data management and analysis specialist to support researchers across projects at Medford campus. You will design data plans, build and refine data pipelines, and train labs on data management best practices while ensuring data protection and compliance.

The role involves collaboration with investigators and data scientists on analyses and sharing results. Candidates should have a MS in data science, bioinformatics, or computer science, at least

Qualifications

• Master's Degree in data science, bioinformatics, or computer science.
• 2+ years of related experience in life sciences.
• Experience building data pipelines and preparing large datasets for analysis.
• Proficiency in Python and R.
• Experience with bioinformatics analysis of NGS data.
• Experience communicating results to a research audience.

Responsibilities

• Provide data management services to TIAI investigators, staff, and trainees.
• Develop and support computational pipelines and data collection plans; provide guidance for data collection, quality control and data cleaning.
• Training services include workshops for labs, core units, and trainees on data management best practices, and in data sharing and retention policies.
• Conduct analysis as directed by investigators and data scientists; set up and support analysis pipelines with proper data protection rules; explore and qualify new tools for analysis.
• Collaborate on current/future grants through participation in grant proposals, submissions, publications and presentations.

Skills

Python

R

Data pipelines

Bioinformatics

Machine learning

NGS analysis

Education

Master's Degree MS in data science, bioinformatics, computer science

Job description

Tufts University’s Tufts Institute for AI seeks a data management and analysis specialist to support researchers across projects at Medford campus. You will design data plans, build and refine data pipelines, and train labs on data management best practices while ensuring data protection and compliance.

The role involves collaboration with investigators and data scientists on analyses and sharing results. Candidates should have a MS in data science, bioinformatics, or computer science, at least