Job Type:
Full Time
Education: B.Sc/ M.Sc/ B.E/ M.E./ B.Com/ M.Com/ BBA/ MBA/B.Tech/ M.Tech/ All Graduates
Skills:
Python, .net, React Native, Django, Javascript, HTML, CSS, Typescript, Communication Skills, Power Bi, Numpy Pandas, Sql, machine learning, Data Analysis, Coimbatore, Data Science, Java, Adobe XD, Figma, php, wordpress, Artificial Intelligence, Excel
Job Title: RWE Scientific Data Analyst II
Company: Novartis
Location: Hyderabad, India (Hybrid)
About Novartis:
At Novartis, we are reimagining medicine to improve and extend people's lives. Our mission is to become the most valued and trusted medicines company in the world. We believe this vision can only be realized through the talent, passion, and commitment of our associates, who drive us toward reaching our ambitions. By joining Novartis, you will be part of a dynamic global organization focused on creating a brighter future for patients and communities worldwide.
Role Overview:
We are looking for an experienced RWE Scientific Data Analyst II to join our team in Hyderabad. This role will involve programming, validating, and conducting statistical analyses of large observational datasets as part of Novartis' Real World Evidence (RWE) strategies. You will independently manage and analyze health outcomes data, develop RWE dashboards, and leverage statistical and machine learning methods to draw meaningful insights and drive strategic decision-making.
Key Responsibilities:
- Data Programming & Analysis: Develop, modify, and debug programming routines (SAS, R) and sophisticated SQL queries to extract, clean, manage, and analyze large databases used in health outcomes research.
- Study Design Translation: Independently translate study designs into algorithms to extract, analyze, and report data for Non-Interventional Studies (NIS) or interactive data visualization tools.
- Collaboration: Work with RWE Research Analysts to scope, design, and execute projects under senior guidance.
- Data Visualization: Develop and maintain interactive RWE dashboards using tools like R/Shiny, ggplot, plotly, or similar.
- Machine Learning: Apply machine learning techniques, such as random forest, GBM, logistic regression, SVM, and deep learning, for data analysis.
- Documentation & Compliance: Ensure all documentation aligns with company standards, including analysis datasets, tables, figures, and listings.
Essential Qualifications:
- Education: Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Engineering).
- Experience: Minimum 2 years of professional programming experience in SAS or R, with a focus on data manipulation, analysis, and visualization.
- Technical Skills:
- Strong experience with SQL (e.g., Hive, Impala, MySQL, OracleSQL).
- Proficiency in statistical analysis (regression, ANOVA, t-tests) and data visualization techniques.
- Familiarity with machine learning techniques and dimensionality reduction methods.
Desirable Qualifications:
- Advanced Data Visualization: Experience using R Shiny, Rmarkdown, ggplot, plotly, data.table, and dplyr.
- Version Control: Familiarity with tools like git or JIRA for version control.
Why Novartis:
- Mission-Driven: Be part of a global organization focused on improving patients' lives.
- Career Growth: Opportunities for career development and training programs.
- Competitive Benefits: Access to comprehensive medical, dental, and vision plans, life insurance, retirement savings, and more.
- Work-Life Balance: Flexible working model to help you thrive personally and professionally.
Diversity & Inclusion:
Novartis is committed to building an inclusive work environment and diverse teams that reflect the communities we serve. We welcome applicants from all backgrounds and encourage individuals with disabilities to apply for reasonable accommodations during the recruitment process.
