Brain Tumor Research Assistant – Data & ML Analyst

RIH Rhode Island Hospital; Rhode Island; On-site; USD 42,000 - 69,000; Full time

Job summary

The Research Assistant at Rhode Island Hospital supports laboratory-based brain tumor research within the Department of Neurosurgery by conducting statistical programming, multi-omics and epigenetic data analysis, computational analysis and machine learning of human and patient-derived cells, tissues, images and analyzing their responses to drug and radiation treatments.

The role includes performing statistical analysis, transcriptomic analysis, stochastic or mechanistic simulation modeling,

Qualifications

• Bachelor’s degree in a relevant field; Master’s degree may be considered.
• Experience with biomedical research and data analysis.
• Ability to follow protocols and communicate effectively in English.

Responsibilities

• Conduct laboratory research with human- and patient-derived samples for neuroscience studies.
• Perform imaging, proliferation and migration assays to generate biomedical data.
• Execute molecular analyses including sequencing workflows and immunostaining.
• Apply statistical and bioinformatic methods to clinical and experimental data.
• Analyze bulk/single-cell RNA-seq and spatial transcriptomics data.
• Develop and apply stochastic/ mechanistic models and ML tools for MRI/genomics data.
• Prepare figures, technical reports and manuscripts for publication.

Skills

Statistics

Bioinformatics

Machine learning

Programming

English communication

Education

Bachelor’s in Biology

Bachelor’s in Biophysics

Bachelor’s in Biomedical Engineering

Bachelor’s in Bioinformatics

Bachelor’s in Statistics

Bachelor’s in Computer Science

Master’s degree preferred

Job description

The Research Assistant at Rhode Island Hospital supports laboratory-based brain tumor research within the Department of Neurosurgery by conducting statistical programming, multi-omics and epigenetic data analysis, computational analysis and machine learning of human and patient-derived cells, tissues, images and analyzing their responses to drug and radiation treatments.

The role includes performing statistical analysis, transcriptomic analysis, stochastic or mechanistic simulation modeling,