Data Scientist: Biomedical Analytics & AI on NIH Campus

Navigant; Bethesda, Northern (MD, KY); Hybrid; USD 65,000 - 108,000; Full time

Benefits offered by this job

Medical, Rx, Dental & Vision Insurance

401(k) Retirement Plan

Tuition Reimbursement

Transit and Parking Benefits

Job summary

Guidehouse is hiring a Data Scientist to provide analytical and technical support for data science activities on the NIH/Bethesda campus. The role involves data acquisition, cleaning, transformation, integration, statistical analysis, and ML model development, with opportunities to build dashboards and decision-support tools.

You will work with clinicians, researchers, data engineers, and program managers to ensure reproducible pipelines and high-quality analyses, while supporting data

Qualifications

• Bachelor's degree in a relevant field.
• 1 year of data science/analytics experience.
• Experience with Python or R for data work.
• Ability to obtain public trust.
• Experience with ML pipelines and reproducible workflows.

Responsibilities

• Collect, clean, integrate, and validate data from diverse sources.
• Support reproducible analytical pipelines and model testing.
• Develop dashboards, reports, and decision-support products.
• Create and maintain reproducible data pipelines and statistical models.
• Collaborate with researchers, data engineers, and IT professionals.

Skills

Python

R

Data analysis

Data visualization

Documentation

Stakeholder collaboration

NLP/Generative AI

Education

Bachelor's degree

Tools

MATLAB

PyTorch

TensorFlow

Hugging Face

OpenAI API

AWS

Azure

Job description

Guidehouse is hiring a Data Scientist to provide analytical and technical support for data science activities on the NIH/Bethesda campus. The role involves data acquisition, cleaning, transformation, integration, statistical analysis, and ML model development, with opportunities to build dashboards and decision-support tools.

You will work with clinicians, researchers, data engineers, and program managers to ensure reproducible pipelines and high-quality analyses, while supporting data