Job Description Summary
- Understands business problems, supports an integrated analytical approach to mine data sources, manage data effectively, employ statistical methods and machine learning algorithms to contribute to solving unmet medical needs, discover actionable insights, and automate processes for reducing effort and time for repeated use.
Job Description
Major accountabilities:
Under guidance of their supervisors and team members and gradually more independently
Translate business questions into analytical problems and build solutions using visualization techniques, machine and deep learning, and statistical modeling
Search and develop data management techniques, new algorithms, methods, statistical models and business models, providing insight into structured and unstructured data.
Quickly learns and pilots the use of tools, data sources and analytical techniques needed to answer wide range of critical business questions and to improve status quo
Identifies research articles and reproduce /apply innovative methodology to Novartis business problems
Provide understandable and actionable business intelligence for key stakeholders.
Brings understanding of one or more areas of data sciences and is able to demonstrate practical knowledge of techniques
Helps developing new quantitative methods with the aim of improving processes in various projects and developing new analysis opportunities by integrating existing and new data sources
Support various projects, of limited scope.
Reporting of technical complaints / adverse events / special case scenarios related to Novartis products within 24 hours of receipt
Distribution of marketing samples (where applicable)
Ensure a healthy and safe workplace by complying with Novartis HSE and ISEC standards, implementing measures, providing training and resources, supporting employee well-being, investigating incidents, and collaborating with HSE teams to maintain a safe environment while adhering to quality, ethical, health, safety, and environmental requirements
Key performance indicators:
Successful implementation based on KPI’s and data management, advanced analytics program objectives
Minimum Requirement: Work experience:
2+ years of relevant experience in Data Science
Skills:
Artifical Intelligence (AI)
Biostatistics
Data governance
Data literacy
Data science
Data Visualization
Graph algorithms
Logistic Regression Model
Machine Learning (ML)
Machine Learning Algorithms
NLP (Neuro-Linguistic Programming) and GenAI
Pandas (python)
Python (Programming Language)
R (Programming Language)
SQL (Structured Query Language)
Time Series Analysis
Data quality
Learning Agility
Curiosity
Statistical Analysis
Language:
English
Skills Desired
Artifical Intelligence (AI), Biostatistics, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Graph Algorithms, Learning Agility, Logistic Regression Model, Machine Learning (ML), Machine Learning Algorithms, NLP (NeuroLinguistic Programming) and GenAI, Pandas (Python), Python (Programming Language), R (Programming Language), Sql (Structured Query Language), Statistical Analysis, Time Series Analysis