Biomedical Data Scientist

Position Overview

Apply machine learning and advanced statistical analysis to complex medical and clinical datasets. Work on genomics, drug discovery, clinical trials, medical imaging, and electronic health records to extract actionable insights that advance healthcare and biomedical research.

Collaborate with healthcare providers, pharmaceutical companies, and research institutions to develop predictive models, biomarker discovery pipelines, and decision support systems.

Key Responsibilities

• Analyze clinical trial data, EHR data, and biomedical datasets
• Develop machine learning models for disease prediction and diagnosis
• Process and analyze genomic sequencing data (RNA-seq, DNA-seq)
• Build predictive models for patient outcomes and treatment response
• Perform survival analysis, longitudinal data analysis, and causal inference
• Implement deep learning for medical image analysis (CT, MRI, X-ray)
• Conduct statistical analysis for clinical research studies
• Develop biomarker discovery pipelines and feature selection methods
• Create data visualizations for medical research publications
• Ensure compliance with HIPAA and data privacy regulations

Required Skills & Qualifications

Technical Skills

Qualifications

• PhD or Master's in Bioinformatics, Biostatistics, Computational Biology, or related field
• 5+ years of experience in biomedical data science
• Strong foundation in statistics and machine learning
• Experience with clinical or genomic datasets
• Proficiency in Python and/or R for data analysis
• Understanding of biology, medicine, and clinical workflows
• Publication record in biomedical journals preferred
• Knowledge of regulatory requirements (FDA, HIPAA)

What We Offer

• Competitive salary with equity opportunities
• Work on impactful healthcare and medical research projects
• Collaborate with leading healthcare and research institutions
• Access to computational resources and biomedical databases
• Remote-first culture with flexible work arrangements
• Publication support and conference attendance