Expert Data Science

Job Description

We are seeking a highly motivated and talented Data Scientist who will bring their scientific curiosity, coding skills, and practical, data-driven problem-solving mindset to develop Data Science solutions in the area of pharmaceutical development of new chemical entities.This is a unique opportunity in a highly interdisciplinary environment, applying your data science skills to pharmaceutical sciences, process modeling and materials science. In this role you will become part of the digital transformation to drive modelling-driven decision making and optimization of the drug development process. You will use data science to deliver value to drug formulation projects in terms of speed, quality, cost, and sustainability.Your Key Responsibilities:Your responsibilities include, but not limited to: Develop user-friendly web apps and dashboards for data visualization and analysis Documentation, validation, and user testing of applications Application maintenance and Develop data Science solutions through their lifecycle, from ideation to deployment Use data and ML methods to solve problems;Data cleaning and data wrangling Set up databases and data pipelines with Clear communication of work Support the development and transfer of oral drug products by evaluation of material, formulation, and process parameters by means of applied statistics Utilize DoE concepts and QbD principles to achieve robust formulations and processes The successful candidate will join a dynamic team and collaborate with other experts across different functions.What you ll bring to the role: MSc in pharmaceutical sciences, process engineering, chemical engineering, mechanical engineering, physics, applied mathematics, statistics, computer science, data science or similar 2-5 years experience in academia or industry Expertise in Data Science tools and methods (ML, statistics, visualization, data wrangling) Excellent programming skills (Python and R), Experience in web app development with Python, including knowledge/use about Dash, Stream lit or similar user interface libraries Experience with Data Base Management Systems (SQL scripting required) Demonstrated ability to develop & deploy applications for end users, including production deployment. Competency working in a Linux/Unix environment Experience with cloud computing, e.g. Azure or AWS Good understanding of IT infrastructure and software lifecycle management Excellent communication skills (English) and data visualization skills Why Novartis 769 million lives were touched by Novartis medicines in 2020, and while we re proud of this, we know there is so much more we could do to help improve and extend people s lives.We believe new insights, perspectives and ground-breaking solutions can be found at the intersection of medical science and digital innovation. That a diverse, equitable and inclusive environment inspires new ways of working. We believe our potential can thrive and grow in an Unbossed culture underpinned by integrity, curiosity and flexibility. And we can reinvent whats possible, when we collaborate with courage to aggressively and ambitiously tackle the world s toughest medical challenges. Because the greatest risk in life, is the risk of never trying!Imagine what you could do here at Novartis!Commitment to Diversity & Inclusion: Novartis is committed to building an outstanding, inclusive work environment and diverse team s 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 EEO Statement Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.Minimum requirements MSc in pharmaceutical sciences, process engineering, chemical engineering, mechanical engineering, physics, applied mathematics, statistics, computer science, data science or similar 2-5 years experience in academia or industry Expertise in Data Science tools and methods (ML, statistics, visualization, data wrangling) Excellent programming skills (Python and R), Experience in web app development with Python, including knowledge/use about Dash, Stream lit or similar user interface libraries Experience with Data Base Management Systems (SQL scripting required) Demonstrated ability to develop & deploy applications for end users, including production deployment. Competency working in a Linux/Unix environment Experience with cloud computing, e.g. Azure or AWS Good understanding of IT infrastructure and software lifecycle management Excellent communication skills (English) and data visualization skills,

Keyskills :
software lifecycle managementweb appdata sciencedata cleaningdata wranglingcloud computingproblem solvingclinical trials