Data and Imaging Analyst

Job Description

We are looking for a talented data analyst with solid Python and Linux/Bash programming skills who is willing to work with advanced big imaging data and machine learning tools. Your work environment will be the Neuroimage Analytics Laboratory (NAL) and the Biggs Institute Neuroimaging Core (BINC). We build advanced neuroimage analytical techniques as part of our work to investigate the origin and progression of neurodegenerative diseases. Data-driven approaches are of special interest in our lab, as we use machine learning and machine intelligence to derive disease models that can complement and validate neurologists' and biologists' approaches. On a broader goal, our tools aim at delivering precise diagnostics on an individual's level and could ultimately guide treatment progress.

This is an ONSITE position local to San Antonio, TX.

Responsibilities

• Implementing and testing advanced image processing pipelines designed for the analysis of brain scans.
• Applying these pipelines to large neuroimaging datasets from various clinical studies, including T1 and T2-weighted MRI, DTI, functional MRI, and PET scans.
• Working in teams, within NAL, BINC, and Biggs and with national and international collaborators.
• Maintaining lab servers' databases.
• Helping with the visual quality control of the processed scans.
• Taking part in the redaction of scientific publications by providing statistics and pipelines technical details .

• Qualifications

Most pipelines will be implemented in Bash to run on our high-performance Linux computing cluster. Python programming will be required to handle the scans, quickly generate plots, and implement additional Deep Learning image processing pipeline modules. A knowledge of R programming, Docker containers, or Singularity containers would be a plus. Priority will be given to the candidates with significant experience in Computer Vision and Image Processing.

In general, data analysts working in our institute are expected to be able to quickly present data in organized, readable formats including written reports and graphical summaries. All employees must comply with institutional policies, rules and regulations to meet federal, state and local standards and codes pertaining to safety and ethics.

EDUCATION:

• Bachelor's degree in a specialized field of study is required.

• Master's degree related to computer programming is preferred.

EXPERIENCE:

• Three (3) years of related experience is required. Master's degree is preferred.