Job Description

Over 200 discovery programs in 7 disease areas for a global team of scientists to focus on new molecular entities, with many opportunities for innovative data science. This is part of what makes Novartis the premier place to develop your career as a pharmaceutical professional. If you are curious, scientifically minded, and want to positively impact society by speeding delivery of novel therapies to patients with data then look no further, NIBR is the place to be. As a member of the PK Sciences Modeling & Simulation and Data Science group, you will have the opportunity to make a difference. If you have a collaborative nature, a commitment to teamwork, and a relentless focus on improving patient care, we want you to apply.

The Data Science group within PK Sciences is looking for a Data Engineer, Senior Expert I, to use your data engineering and programming skills to build systems that collect, manage and convert raw data into usable information for our scientists. We are seeking a curious, collaborative and proactive data engineer to contribute to the design, development and application of PK Science specific software applications to capture and visualize our data. Our group is growing, and we hope you will join us.

Your responsibilities include, but are not limited to:

• working towards real time availability of data for translational modelers and PK scientists.
• Eliminate bottlenecks like manual interventions and data reconciliations.
• Engage in process optimization, help consolidate existing and new data flows (FAIRplay for data ingestion, integration and analysis) to enable to respond to PK Science data-centric question rapidly.
• conducting one-off complex data analysis and visualizations
• being a liaison between partners involved: internal and external partners producing data, scientific teams having data intensive needs, NIBR teams designing enterprise solutions
• maintaining and growing your expertise in best practices for data handling especially as it applies to \xe2\x80\x9cbig data\xe2\x80\x9d - FAIR data, data warehousing, data integration, archiving, scalable analysis solutions and visualization

Minimum requirements

• Previous experience as a data engineer or in a similar role
• Technical expertise with data capture, data models, data mining, and visualization techniques
• Knowledge of programming languages (e.g. Java, R and Python)
• Hands-on experience with SQL database design.Great numerical and analytical skills
• Master\'s Degree in Computer Science, IT, or similar field;
• Interested in the field of ADME and DMPK
• Ability to work as part of an international team in a matrix organization.

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 what\'s 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

Functional Area

Data Science

Division

Novartis Institutes for BioMedical Research

Business Unit

Translational Medicine

Employment Type

Regular

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.

Shift Work

No

Early Talent

No

Novartis