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Data Scientist or Advanced Analytics
2 weeks ago
Greetings
Job Description: Data Scientist - Advanced Analytics (Pharma Patient-Level Analytics)
Title: Data Scientist - Advanced Analytics
Location: Remote (EST Hours)
About the Role
We are seeking a highly skilled Data Scientist with expertise in advanced analytics, machine learning, and statistical modeling to join our Pharma Analytics team. The ideal candidate will have strong hands-on experience with R, Python, and ML libraries and proven capabilities in patient-level and claims-level analytics. You will play a key role in analyzing pharma patient data to generate insights that inform market access, patient outcomes, and commercial decision-making.
Key Responsibilities
- Design, develop, and implement statistical models, machine learning algorithms, and predictive analytics solutions using R/Python.
- Conduct patient-level and claims-level analytics, including longitudinal analysis, patient journeys, adherence, persistence, and treatment pathways.
- Work with pharma datasets (IQVIA, Symphony, APLD, LAAD, claims, EHR/EMR, specialty pharmacy data) to derive actionable insights.
- Collaborate with cross-functional teams (HEOR, Market Access, Commercial, Medical Affairs) to address key business questions.
- Apply survival analysis, regression, classification, clustering, and NLP to patient-level datasets.
- Develop dashboards, visualizations, and reports for internal stakeholders and clients.
- Ensure data quality, integrity, and compliance with HIPAA, GDPR, and industry regulations.
- Stay current on pharma data science trends, advanced ML methods, and real-world evidence (RWE) analytics.
- Master's or PhD in Statistics, Data Science, Computer Science, Biostatistics, Epidemiology, or related field.
- 5-7 years of hands-on data science experience, preferably in pharma, life sciences, or healthcare analytics.
- Strong programming skills in R or Python, including ML libraries (scikit-learn, TensorFlow, PyTorch, caret, randomForest, XGBoost, etc.).
- Expertise in patient-level and claims-level analytics
- Familiarity with pharma patient data sources (IQVIA LAAD, Symphony APLD, specialty pharmacy, claims, EMR/EHR).
- Strong statistical knowledge (hypothesis testing, regression, Bayesian methods, etc.).
- Experience working with large datasets, SQL databases, and cloud environments (AWS/Azure/GCP).
- Excellent communication skills - ability to translate complex analyses into business insights.
Name:
Work Authorization:
Salary:
Email ID:
Phone Number:
Current Location:
Comm. Skills: Good
Availability to start:
Willing to Relocate (Y/N):
LinkedIn:
Kind Regards,
Prabhat Jaiswal
Recruitment Specialist
Cell: (856) 444-7215
Email : prabhat@jconnectinc.com
168 Barclay Center Ste. 347, Cherry Hill, NJ 08034
Jconnect Infotech Inc.