Knowledge Founder - Consultant - Data Analytics - Patient Level (3-5 yrs)

Job Summary:

We are seeking a Patient-Level Data Analytics Specialist with 3-5 years of experience in analyzing US patient-level claims data. The ideal candidate will have strong expertise in real-world pharma datasets and hands-on experience in pre-processing claims data, including Rx (Treatment), Px (Procedure), and Dx (Diagnosis) tables. Knowledge of advanced analytics and machine learning is a plus.

Roles and Responsibilities:

- Analyze and interpret US patient-level claims data from leading vendors such as IQVIA, Health Verity, Komodo, etc.

- Pre-process claims data, applying valid assumptions such as look-back periods for Rx, Px, and Dx tables.

-Perform longitudinal analysis to track patient pathways, treatment adherence, and outcomes over time.

-Analyze patient demographics, health behaviors, and utilization patterns to support segmentation and targeting strategies.

-Extract, clean, and integrate patient-level data from various sources, including claims, EHRs, and registries.

-Collaborate with cross-functional teams to deliver actionable insights and support strategic decision-making.

-Develop and deploy machine learning models for classification, regression, and clustering tasks (good to have).

-Utilize programming languages like Python and SQL for data wrangling, analysis, and visualization.

Leverage cloud platforms (AWS, Azure) and Databricks to build scalable data solutions (good to have).

Required Skills and Qualification:

- 3-5 years of hands-on experience with US patient-level claims data analytics.

- Strong knowledge of real-world pharma datasets from vendors like IQVIA, Health Verity, Komodo, etc.

- Proficiency in pre-processing Rx, Px, and Dx tables using valid assumptions.

- Familiarity with machine learning techniques and experience with open-source tools is a plus.

- Proficiency in Python and R; experience with Databricks is an advantage.

- Knowledge of cloud platforms like AWS or Azure for data analysis and model deployment is desirable.

- Strong problem-solving skills and attention to detail.

- Excellent communication skills to present findings and insights effectively.