RWE Scientific Data analyst II

Job Description Summary

The RWE Scientific Data Analyst II will program and validate Real World Evidence (RWE) studies and dashboards and conduct statistical analysis of large observational databases aligned with Novartis RWE strategies, with minimal supervision.

 

Job Description

Senior RWE Scientific Data Analyst

Location – Hyderabad #LI Hybrid

About the Role:

The RWE Scientific Data Analyst II will program and validate Real World Evidence (RWE) studies and dashboards and conduct statistical analysis of large observational databases 

Key Responsibilities:

• Independently develop, modify and de-bug programming routines (such as SAS or R) along with complex SQL queries to extract, clean, manage, and analyze large databases for health outcomes research. Data sources include medical and pharmacy claims data, hospital data, electronic medical record data, and prospective observational study data.
• Independently translate the study design into algorithms to extract, analyze and report secondary data for Non-Interventional Studies (NIS) or interactive data visualization tools.
• Collaborate with the RWE Research Analysts to scope and design projects under senior guidance.
• Use RWE tools such as R, R/shiny, SAS, Impala, git or JIRA.
• Conduct observational data analyses including data management and statistical programming as well as the development of RWE dashboards.
• Use machine learning and data mining techniques such as random forest, GBM, logistic regression, SVM, deep learning.
• Be familiar with dimensional reduction and R packages such as ggplot, plotly or t-sne.Independently conduct quality reviews in compliance with company standards and processes upon various stages of the projects
• Independently maintain consistency and comply with company standards of the project documentation for observational studies and interactive data visualization tools, including programming, specifications of analysis datasets, tables, figures and listings.

Commitment to Diversity & Inclusion: :

We are committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.

Essential Requirements:

• Bachelor’s degree plus 4+ years of experience as programmer or Scientific Data Analyst in the pharma industry, contract research organization, or academic institute; or experience in a closely related discipline
• An interest in developing programming, statistical, visualization and analytical skills.
• Exceptional problem-solving abilities with a good understanding of statistical methods (regression, Anova, t-tests, etc.).
• Good knowledge of SQL querying using at least one of the following Hive, Impala, MySQL, OracleSQL or similar.
• Ability to prioritize tasks and communicate overall timelines in order to efficiently produce high quality deliverables.

Desirable Requirements:

• Strong written/verbal communication skills. Highly effective at providing input at meetings, discussions and activities covering aspects of research data management and analysis on research projects.
• A strong interest in working in pharma.
• Open to experimentation and taking smart risks to support creative thinking that leads to practical solutions to healthcare and business challenges.

Why Novartis: Our purpose is to reimagine medicine to improve and extend people’s lives and our vision is to become the most valued and trusted medicines company in the world. How can we achieve this? With our people. It is our associates that drive us each day to reach our ambitions. Be a part of this mission and join us! Learn more here: https://www.novartis.com/about/strategy/people-and-culture

You’ll receive: You can find everything you need to know about our benefits and rewards in the Novartis Life Handbook. https://www.novartis.com/careers/benefits-rewards

Commitment to Diversity and Inclusion:
Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.
Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to hear more about Novartis and our career opportunities, join the Novartis Network here: https://talentnetwork.novartis.com/network.

 

Skills Desired

Biostatistics, Computer Programming, Data Analysis, Databases, Data Management, Data Mining, Data Quality, Data Visualization, Deep Learning, Graph Algorithms, High-Performance Computing, Logistic Regression Model, Machine Learning (Ml), Master Data Management, Pandas (Python), Python (Programming Language), R (Programming Language), Random Forest Algorithm, Sql (Structured Query Language), Statistical Modeling, Time Series Analysis