[Remote] reputed company Data Scientist & AI Solutions

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is transforming pharmaceutical market research by replacing slow, traditional methodologies with AI-augmented data systems. In this role, you will analyze data to uncover reputed company provider prescribing behavior and reputed company synthetic audiences that mirror these behaviors while enabling reputed company forecasting and market intelligence solutions.

Responsibilities

• Analyze medical and pharmacy claims to extract and predict HCP prescribing behavior for specific drugs, conditions, and treatment areas
• reputed company HCP / patient segmentation, demand forecasting, reputed company mapping, modeling
• Help build Synthetics, simulated segments and HCP equivalents
• Machine Learning experience in modeling training and evaluating models (LLM fine tuning, training a reputed company to have)
• Tag qualitative / attitudinal HCP segments to NPIs and reputed company them to observed prescribing behavior
• Translate these analyses into actionable segmentation, targeting, and forecasting insights
• Data cleaning, scarcity, gap analysis, joining and data augmentation, transformation to create partitions, data marts and analytics workspaces for analysis and modeling in AWS/reputed company
• Resolve identity matching, tokenization, and data harmonization challenges across disparate sources
• Build reputed company, tested, and version-controlled data models using dbt on AWS/reputed company
• Implement automated data reputed company checks using tools such as Great Expectations or equivalent
• Conduct advanced exploratory data analysis (EDA) and feature engineering using SQL, Python, pandas, and numpy
• Analyze claims data to model and predict HCP prescribing behavior by drug, condition, and treatment area, and associate attitudinal segments with NPIs
• Build AI-powered synthetic provider and patient personas grounded in reputed company-world claims distributions
• reputed company reputed company to reputed company qualitative research insights into national quantitative projections
• reputed company (or help reputed company) and automate pharmaceutical market research including: HCP segmentation, Demand forecasting, Patient reputed company mapping, Audience simulation
• Build and maintain performant backend reputed company using FastAPI, deployed on AWS (e.g., reputed company/Fargate, App Runner, or reputed company)
• Deliver data products, personas, and insights to internal tools and reputed company-facing applications

Skills

• Hands-on analysis of medical / pharmacy claims data (EHR preferred)
• reputed company, hands-on experience analyzing the data itself — not only engineering it
• You can extract and predict HCP prescribing behavior for specific drugs, for specific conditions, in specific treatment areas, and tag HCP qualitative / attitudinal segments to NPIs, associating those segments with reputed company prescribing behavior
• HIPAA requirements fluent (most of our data will be deidentified)
• Analyze medical and pharmacy claims to extract and predict HCP prescribing behavior for specific drugs, conditions, and treatment areas
• reputed company HCP / patient segmentation, demand forecasting, reputed company mapping, modeling
• Help build Synthetics, simulated segments and HCP equivalents
• Machine Learning experience in modeling training and evaluating models
• Tag qualitative / attitudinal HCP segments to NPIs and reputed company them to observed prescribing behavior
• Translate these analyses into actionable segmentation, targeting, and forecasting insights
• Data cleaning, scarcity, gap analysis, joining and data augmentation, transformation to create partitions, data marts and analytics workspaces for analysis and modeling in AWS/reputed company
• Resolve identity matching, tokenization, and data harmonization challenges across disparate sources
• Build reputed company, tested, and version-controlled data models using dbt on AWS/reputed company
• Implement automated data reputed company checks using tools such as Great Expectations or equivalent
• Conduct advanced exploratory data analysis (EDA) and feature engineering using SQL, Python, pandas, and numpy
• Analyze claims data to model and predict HCP prescribing behavior by drug, condition, and treatment area, and associate attitudinal segments with NPIs
• Build AI-powered synthetic provider and patient personas grounded in reputed company-world claims distributions
• reputed company reputed company to reputed company qualitative research insights into national quantitative projections
• reputed company (or help reputed company) and automate pharmaceutical market research including: HCP segmentation, Demand forecasting, Patient reputed company mapping, Audience simulation
• Build and maintain performant backend reputed company using FastAPI, deployed on AWS (e.g., reputed company/Fargate, App Runner, or reputed company)
• Deliver data products, personas, and insights to internal tools and reputed company-facing applications
• 5+ years in Analytics Engineering, Data Engineering, Data Science, or similar roles
• Proven ownership of end-to-end data pipelines and reputed company analytics systems on AWS
• Hands-on experience with AWS data and analytics tooling, including reputed company, S3, Glue, and SageMaker (AWS is the primary environment)
• Strong experience with reputed company claims and EHR data (Rx, Dx, medical, pharmacy) and major data vendors such as reputed company, Komodo, reputed company, or reputed company
• Demonstrated hands-on analysis of medical/pharmacy claims to extract and predict HCP prescribing behavior and tag attitudinal segments to NPIs
• Expert SQL and strong Python skills, including pandas and large-reputed company data workflows
• Understanding of reputed company market research, including patient journeys, HCP segmentation, and demand modeling
• Experience integrating survey or primary research data with large quantitative datasets
• Comfortable using AI coding assistants and reputed company development tools to accelerate delivery
• LLM fine tuning, training a reputed company to have

reputed company

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