Data Scientist

ERM Placement Services

5 - 10 years

12 - 22 Lacs

bangalore rural

Posted:Just now| Platform:

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Skills Required

statistical modeling machine learning deep learning python pyspark azure

Work Mode

Work from Office

Job Type

Full Time

Job Description

Key Responsibilities:

Data Analysis and Modeling:
Lead data analysis efforts to extract meaningful insights from complex healthcare and pharmaceutical data. Develop predictive and prescriptive models to drive informed decision-making.
Predictive Modeling:
Develop advanced predictive models to support pharmaceutical research and development. Utilize machine learning and statistical techniques to optimize drug discovery, patient outcomes, and healthcare operations.
Regulatory Compliance:
Stay updated on the latest regulatory guidelines and industry standards in the pharmaceutical sector. Ensure compliance with data handling, privacy, and reporting requirements.
Market Access and Commercialization:
Analyze market data, payer information, and patient demographics to assist pharmaceutical companies in product pricing, market access strategy, and commercialization planning.
Real-World Evidence (RWE):
Utilize real-world data sources to generate valuable RWE for drug effectiveness, patient outcomes, and healthcare utilization, with a focus on improving patient care.
Healthcare Analytics:
Analyze electronic health records, claims data, and other healthcare information to uncover patterns and insights that can lead to better patient care and cost-efficiency.
Collaboration:
Collaborate closely with clients to understand their unique challenges and objectives. Translate data insights into actionable strategies and provide expert guidance.
Data Visualization:
Create compelling data visualizations and dashboards to effectively communicate findings to both technical and non-technical stakeholders.
Research and Innovation:
Stay current with industry trends, emerging technologies, and data science best practices. Drive innovation and thought leadership within the team.

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