Bioinformatics Scientist: Neurobehavioral Data & ML

Paycom - ATS; North Carolina; On-site; USD 110,000 - 150,000; Full time

Job summary

GAP Solutions seeks a Bioinformatics Scientist to advance NIH research objectives in neurobehavioral science. You will independently design analyses, develop scalable pipelines, and collaborate with biologists and computational experts to interpret complex neural and behavioral data.

The role involves implementing machine learning approaches, building reproducible workflows, and presenting results to multidisciplinary teams.

Qualifications

• Master's degree in a relevant field; required or equivalent.
• Experience in neurobehavioral data analysis and large datasets.
• Proficiency in Python, R and SQL for data analysis.
• Ability to develop and optimize bioinformatics pipelines and workflows.
• Strong communication and collaboration with biologists and researchers.

Responsibilities

• Analyze large-scale neural and behavioral datasets using machine learning and statistical approaches.
• Develop and optimize programs and pipelines for data processing and interpretation.
• Collaborate with biologists and computational researchers to design experiments.
• Provide training and technical support for scientific software and pipelines.
• Prepare scientific reports and visualize results for team meetings and publications.

Skills

Python

R

SQL

Machine Learning

Neurobehavioral data analysis

HPC

Data visualization

Bioinformatics pipelines

Education

Master's in Neuroscience, Computational Biology, Computer Science, Physics, Mathematics, or related field

Ph.D. in Biological Sciences, Neuroscience, Bioinformatics, Biostatistics, Computational Biology or related discipline preferred

Tools

ImageJ

MATLAB

Linux

Unix

PERL

Java

Shell

SQL

Job description

GAP Solutions seeks a Bioinformatics Scientist to advance NIH research objectives in neurobehavioral science. You will independently design analyses, develop scalable pipelines, and collaborate with biologists and computational experts to interpret complex neural and behavioral data.

The role involves implementing machine learning approaches, building reproducible workflows, and presenting results to multidisciplinary teams.