Advanced Statistical Modeling:

Apply rigorous statistical techniques (regression, hypothesis testing, survival analysis) to healthcare data for predictive and prescriptive analytics.

Time Series Analysis:

Develop models for forecasting and anomaly detection in longitudinal healthcare data (e.g., patient vitals, treatment timelines).

Feature Engineering:

Design and implement robust feature extraction and transformation pipelines for structured and unstructured healthcare data.

Large-Scale Data Handling:

Work with high-volume datasets from EHRs, claims, and sensor data using distributed computing frameworks (Spark, Dask).

Predictive Modeling:

Build and validate machine learning models for risk stratification, disease progression, and patient engagement.

Data Quality & Governance:

Ensure compliance with healthcare data standards (HIPAA, HL7, FHIR) and maintain data integrity.

Visualization & Communication:

Create compelling dashboards and visualizations to communicate insights to clinicians and business stakeholders.

Collaboration:

Partner with product managers, engineers, and clinical experts to translate business needs into data-driven solutions.

Required Qualifications Education:

Master's or Ph.D. in Statistics, Data Science, Computer Science, or related field.

Experience:

5+ years in data science roles, with at least 2 years in healthcare analytics.

Statistical Expertise:

Strong knowledge of regression models, Bayesian methods, and hypothesis testing.

Time Series & Forecasting:

Hands-on experience with ARIMA, Prophet, or deep learning-based time series models.

Programming Skills:

Proficiency in Python (pandas, NumPy, scikit-learn), SQL, and experience with PostgreSQL or similar databases.

Big Data Tools:

Experience with Spark, Hadoop, or cloud-based data platforms (AWS, Azure, GCP).

Feature Engineering:

Proven ability to design features for complex healthcare datasets.

Domain Knowledge:

Familiarity with clinical terminologies, EHR systems, and healthcare workflows. Additional Information While we've outlined some key qualities we typically seek, it's essential to remember that there might be additional unique strengths and talents you possess that would make you an exceptional match for us, even if they're not explicitly mentioned. Studies have consistently highlighted the significance of this principle, particularly for individuals from disenfranchised backgrounds, including women and other marginalized groups. These individuals often hesitate to apply unless they meet every single requirement, unlike their male counterparts who are more inclined to apply when they meet around 60% of the criteria. The message we want to convey is that taking a leap of faith and applying can be incredibly rewarding. Your distinct abilities and perspectives could be exactly what we need to create a more diverse and inclusive team. So, don't hesitate—apply today and let's explore the exciting possibilities together! All your information will be kept confidential according to EEO guidelines. At En sora Health , Diversity, Equity, Inclusion, and Belonging aren't just words. We celebrate what makes us unique, foster an ecosystem of inclusion for all and harness our talents to promote diversity of thought and action in everything we do. We instill Diversity, Equity, Inclusion, and Belonging into the fabric of our CARING culture and business, as we strive to be recognized not only as the leader in healthcare technology, but also for our intentional efforts to promote a diverse community. We will champion non-discriminatory practices throughout the employee and customer lifecycle; caring for every person regardless of race, national origin, color, religion, disability, sex, orientation, or familial status. 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Senior Data Scientist Healthcare Analytics