Title: Senior ML/Bioinformatics Data Scientist (Contract)
Location: Remote (must be available during PST business hours)
Minimum Education: PhD degree in quantitative field (Computer Science, Computational Biology, Bioinformatics, Statistics, Mathematics)
Pay: $50-$63/hour
Contract: 1 year, with potential extension
Position Overview
We are seeking an experienced ML/Bioinformatics Data Scientist to join our computational sciences team on a high-impact contract engagement. This role focuses on developing advanced machine learning solutions for healthcare applications, specifically working with complex multi-modal datasets to build predictive models that support clinical decision-making and patient safety initiatives.
Key Responsibilities
- Design and implement machine learning pipelines for analyzing complex biomedical datasets including clinical, genomic, and laboratory data.
- Lead data integration and harmonization efforts across multiple data sources and formats.
- Develop predictive models to identify patient risk factors and safety profiles for therapeutic interventions.
- Engineer novel features from diverse data types to enhance model performance and clinical interpretability.
- Collaborate with cross-functional teams including biologists, clinicians, statisticians, and product stakeholders.
- Create comprehensive documentation and present findings to technical and non-technical audiences.
Required Qualifications
- PhD in quantitative discipline (Computer Science, Computational Biology, Bioinformatics, Statistics, Mathematics, or related field).
- 5+ years of hands-on experience applying machine learning methods to multi-modal biomedical datasets.
- Expert proficiency in Python and/or R with extensive experience in data manipulation, statistical modeling, and ML frameworks.
- Proven experience working with omics data, clinical datasets, and/or medical imaging data.
- Strong background in biostatistics including survival analysis and time-to-event modeling.
- Excellent written and verbal communication skills with ability to explain technical concepts to diverse audiences.
- Track record of peer-reviewed publications in relevant fields.
This job description is a complete list of all desired skills, but not all are required. We strongly encourage candidates who have some of the skills to apply. We look forward to a conversation to learn more about you!
