Healthcare Data Science Program – We’re seeking a data science employee to join our clinical analytics team focused on improving outcomes for hemodialysis patients through data-driven insights and predictive modeling.
Position Overview – As a Data Science, you’ll work directly with our clinical data science team to analyze real-world dialysis treatment data, develop predictive models, and create interactive dashboards that help clinicians make more informed decisions about patient care.
Key Responsibilities – Work with clinical and technical teams to develop and validate predictive models for patient outcomes, such as hospitalization risk and treatment response. Clean, transform, and analyze complex clinical datasets containing treatment parameters, lab values, and patient outcomes. Create interactive dashboards and reports to visualize key performance indicators and clinical trends.
Required Qualifications – Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Biostatistics, or related field – Strong programming skills in Python or R, with experience using data science libraries (pandas, scikit-learn, etc.) – Understanding of statistical concepts and machine learning fundamentals – Experience with SQL and database querying – Excellent analytical and problem-solving abilities
Preferred Qualifications – Coursework or projects involving healthcare data analysis – Experience with visualization tools (Tableau, Power BI) – Knowledge of healthcare analytics or clinical data structures – Familiarity with HIPAA compliance and healthcare data privacy – Experience with time series analysis and longitudinal data
Learning Opportunities – Gain hands-on experience working with real clinical data – Learn healthcare-specific data science methodologies – Develop skills in building production-ready machine learning models – Understand the unique challenges of healthcare analytics – Work alongside experienced data scientists and clinical experts
Project Examples You may work on projects such as: – Developing early warning systems for adverse events – Creating interactive dashboards for monitoring clinical outcomes – Analyzing treatment parameter optimization – Building predictive models for patient risk stratification
Required Skills – Statistical analysis and hypothesis testing – Data cleaning and preprocessing – Machine learning model development – Data visualization and communication – Collaborative problem-solving
To apply, please submit your resume and briefly describe any relevant projects or experience in healthcare analytics or machine learning. We are committed to creating a diverse and inclusive work environment and encourage applications from candidates of all backgrounds.
Contact employment@vasc-alert.com
Vasc-Alert is a leading data analytics provider to the hemodialysis industry. Vasc-Alert technology is consistent with expectations for validated AI-based decision support systems for nephrologists and patients in the 21st century for better vascular access management strategies in your dialysis centers.
Vasc-Alert is an FDA-approved, non-invasive screening/surveillance test used to help identify narrowing in hemodialysis graft/fistula (dialysis access).
Healthcare Data Science Program – We’re seeking a data science employee to join our clinical analytics team focused on improving outcomes for hemodialysis patients through data-driven insights and predictive modeling.
Position Overview – As a Data Science, you’ll work directly with our clinical data science team to analyze real-world dialysis treatment data, develop predictive models, and create interactive dashboards that help clinicians make more informed decisions about patient care.
Key Responsibilities – Work with clinical and technical teams to develop and validate predictive models for patient outcomes, such as hospitalization risk and treatment response. Clean, transform, and analyze complex clinical datasets containing treatment parameters, lab values, and patient outcomes. Create interactive dashboards and reports to visualize key performance indicators and clinical trends.
Required Qualifications – Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Biostatistics, or related field – Strong programming skills in Python or R, with experience using data science libraries (pandas, scikit-learn, etc.) – Understanding of statistical concepts and machine learning fundamentals – Experience with SQL and database querying – Excellent analytical and problem-solving abilities
Preferred Qualifications – Coursework or projects involving healthcare data analysis – Experience with visualization tools (Tableau, Power BI) – Knowledge of healthcare analytics or clinical data structures – Familiarity with HIPAA compliance and healthcare data privacy – Experience with time series analysis and longitudinal data
Learning Opportunities – Gain hands-on experience working with real clinical data – Learn healthcare-specific data science methodologies – Develop skills in building production-ready machine learning models – Understand the unique challenges of healthcare analytics – Work alongside experienced data scientists and clinical experts
Project Examples You may work on projects such as: – Developing early warning systems for adverse events – Creating interactive dashboards for monitoring clinical outcomes – Analyzing treatment parameter optimization – Building predictive models for patient risk stratification
Required Skills – Statistical analysis and hypothesis testing – Data cleaning and preprocessing – Machine learning model development – Data visualization and communication – Collaborative problem-solving
To apply, please submit your resume and briefly describe any relevant projects or experience in healthcare analytics or machine learning. We are committed to creating a diverse and inclusive work environment and encourage applications from candidates of all backgrounds.
Contact employment@vasc-alert.com
Vasc-Alert is a leading data analytics provider to the hemodialysis industry. Vasc-Alert technology is consistent with expectations for validated AI-based decision support systems for nephrologists and patients in the 21st century for better vascular access management strategies in your dialysis centers.
Vasc-Alert is an FDA-approved, non-invasive screening/surveillance test used to help identify narrowing in hemodialysis graft/fistula (dialysis access).
