Job Description Summary
-Understand complex and critical business problems, formulates integrated analytical approach to mine data sources, 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:
Project manage own tasks and works with allied team members; plans proactively, anticipates and actively manages change, sets stakeholder expectations as required, identifies operational risks and drives issues to resolution, minimizes surprise escalations, with initial support from supervisors
Collaborate with internal stakeholders, external partners and cross-functional teams to solve critical business problems
Understand life science data sources including preclinical, clinical, sales, contracting, promotions, social media, patient claims and Real World Evidence
Research and co-develop with supervisor in data management, new algorithms, methods, statistical models and business models and providing insight into structured and unstructured data
Quickly learn the use of tools, data sources and analytical techniques needed to answer a wide range of critical business questions
Support the evaluation of the need for technology and novel scientific software, visualization tools and new approaches to computation to increase the efficiency and quality of the Novartis practices
Independently identifies research articles and proposes them for application to Novartis business problems
Develop automation for data management, repeatedly refreshing analysis and generating insights
Articulates solutions /recommendations to business users.
Works with senior data science team members to present analytical content concisely and effectively
Ability to provide understandable and actionable business intelligence for key stakeholders
May lead a small team or in-depth technical expertise in a scientific / technical field depending upon the career path (Manager/Individual contributor)
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:
Achievement and governance endorsement of data management, advanced analytics program tollgates
Successful implementation based on KPI’s and data management, advanced analytics program objectives
Minimum requirement: Work experience:
6+ years of relevant experience in Data Science
Skills:
Artificial Intelligence (AI)
Data governance
Data literacy
Data quality
Data science
Data Visualization
Deep learning
Machine Learning (ML)
Machine Learning Algorithms
NLP (Neuro-Linguistic Programming) and GenAI
Statistical Analysis
Time Series Analysis
Python (Programming Language)
R (Programming Language)
SQL (Structured Query Language)
Graph algorithms
Logistic Regression Model
Pandas (python)
Biostatistics
Change Management
Stakeholder Engagement
Learning Agility
Curiosity
Language:
English
Skills Desired
Apache Spark, Artificial Intelligence (AI), Big Data, Data Governance, Data Literacy, Data Management, Data Quality, Data Science, Data Strategies, Data Visualization, Machine Learning (ML), Master Data Management (MDM), Python (Programming Language), R Programming, Statistical Analysis