Data Scientist II
Tasks
- Build machine learning models for cohort identification
- Build templates workflows and documentation for self serve analytics
- Conduct data cleaning and exploratory data analysis
- Create data visualizations and summaries
- Develop predictive clinical models
- Ensure methodological rigor and reproducibility
- Evaluate models and communicate results
- Follow data governance and data privacy policies
- Integrate multimodal clinical and lab data
- Investigate data quality and transformations for OMOP
- Perform reproducible statistical analyses
Perks/Benefits
- Dental insurance
- Disability insurance
- Employee assistance program
- Family life support programs
- Flexible spending accounts
- Health insurance
- Life insurance
- Onsite health clinic
- Paid Holidays
- Paid parental leave
- Paid sick leave
- Paid vacation
- Relocation assistance
- Retirement benefits
- Tuition reimbursement
- Vision insurance
Skills/Tech-stack
Cohort Analysis | Cohort Prediction | Cohort identification | Data Governance | Data Privacy | Data Quality | Data Transformation | Data Visualization | Deep learning | Electronic Health Records | GDPR | Genomics | Git | HIPAA | Health Records | ICD-10 | Imaging | LLM | Language Processing | Machine Learning | Natural Language | Natural Language Processing | OHDSI | OMOP | Python | Python programming | R | R and Python | R and Python programming | RxNorm | SNOMED | SQL | Statistical modeling
Education
Roles
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