Biomedical Data Scientist — Reproducible Analytics

Guidehouse; Baltimore (MD); On-site; USD 65,000 - 108,000; Full time

Benefits offered by this job

Medical Insurance

401(k) Plan

Paid Holidays

Parental Leave

Transit Benefits

Tuition Reimbursement

Employee Assistance Program

Discretionary bonus

Job summary

Guidehouse is seeking a data scientist/analyst to collect, clean, and integrate data from diverse sources and to develop reproducible analytical pipelines and models. The role includes conducting exploratory and predictive analyses, building dashboards, and communicating results to technical and nontechnical stakeholders.

You will collaborate with researchers, data engineers, program managers, and IT professionals, contributing to data governance, documentation, and responsible handling of

Qualifications

• Bachelor's degree in a relevant field.
• 1+ year experience in data science, analytics, or research support.
• Experience with Python and/or R for data work and reproducible workflows.
• Familiarity with NLP/Generative AI/LLMs and time series analysis.
• Strong data analysis, presentation and documentation skills.
• Experience writing SOPs and contributing to technical docs.
• Ability to obtain/maintain federal/public trust clearance.

Responsibilities

• Collect, clean, integrate, and validate data from diverse sources.
• Develop reproducible data pipelines, analytical workflows, and models.
• Conduct exploratory, descriptive, predictive, and inferential analyses.
• Create dashboards, visualizations, and reports for stakeholders.
• Collaborate with researchers, data engineers, program managers, and IT.

Skills

Python

R

NLP

Generative AI

LLMs

Time series analysis

Data analysis

Data presentation

Documentation

SOP writing

Education

Bachelor's degree

Job description

Guidehouse is seeking a data scientist/analyst to collect, clean, and integrate data from diverse sources and to develop reproducible analytical pipelines and models. The role includes conducting exploratory and predictive analyses, building dashboards, and communicating results to technical and nontechnical stakeholders.

You will collaborate with researchers, data engineers, program managers, and IT professionals, contributing to data governance, documentation, and responsible handling of