Senior Data Analyst – AI for Health & Bioinformatics

The Friedman School of Nutrition Science and Policy

Medford (MA)

On-site

USD 89,000 - 134,000

Full time

14 days+
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Job summary

Tufts Institute for AI is seeking a data management and analysis specialist to support researchers across AI-driven health projects. You will develop data collection and analysis plans, train teams, and help implement secure, scalable pipelines.

The role requires MS in a relevant field, 2+ years in data science and expertise in Python/R, ML methods, and bioinformatics data such as NGS. This is a full-time on-site position with Tufts.

Qualifications

  • Master's degree in data science, bioinformatics, computer science or related field.
  • 2+ years of life science data analysis or related experience.
  • Experience building data pipelines and preparing large/complex datasets for analysis.
  • Proficiency in Python and R.
  • Experience with statistical inference and ML on biological data.
  • Experience with bioinformatics analysis of NGS data including single-cell and transcriptomics.

Responsibilities

  • Provide data management services to researchers, staff and trainees.
  • Develop and support data collection, quality control, and data cleaning processes.
  • Set up analysis pipelines with data protection rules and reproducible workflows.
  • Train labs and cores on data management best practices and data sharing policies.
  • Collaborate on grants, submissions, publications and presentations.

Skills

Data pipelines
Python
R
Large datasets
Statistical inference
Machine learning
Research communication

Education

MS in data science, bioinformatics, or computer science

Tools

scikit-learn
PyTorch
TensorFlow
NLP/LLMs
HPC

Job description

Tufts Institute for AI is seeking a data management and analysis specialist to support researchers across AI-driven health projects. You will develop data collection and analysis plans, train teams, and help implement secure, scalable pipelines.

The role requires MS in a relevant field, 2+ years in data science and expertise in Python/R, ML methods, and bioinformatics data such as NGS. This is a full-time on-site position with Tufts.

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