Data Engineer (w/m)

10 million doses, this is what the Huningue Biotechnology Center produces every year, which is a reference center in the production of bio-drugs, clinical and commercial, by growing mammalian cells.
Quality and safety depend of course on our high-tech equipment, but they also and above all come from our teams, who bring innovation and improvement for the patient, explains Paula Rosa, site manager.

Come and join a committed team of 700 people, in a motivating environment.

The ID&D (Innovation, Data & Digital) team has the mission to drive the data & digital roadmap and support the site cultural aspiration. The journey encompasses the use of data and advanced analytics for guiding innovation and performance. We are particularly committed in accelerating manufacturing efficiency, innovating in strategic areas, and building the site's workforce of the future.

The Data Engineer is responsible for employing advanced algorithms and machine learning techniques to create and sustain systems that provide real-time data analysis and visualization in biotech manufacturing units. In this role, you will work with a multidisciplinary team of automation engineers, process experts and scientists to build and operationalize data-based solutions to support decision-making and increase efficiencies across manufacturing processes and supply chain.
The ideal candidate is an experienced data pipeline builder who enjoys optimizing data systems, automating manual processes, and re-designing data architectures to support our next generation data & digital infrastructure.

Your responsibilities:
As such, your responsibilities include, but are not limited to:

Main activities

• Conceptualizing and generating the data & digital infrastructure for optimal extraction, transformation and loading from a wide variety of data sources using SQL and AWS technologies
• Upgrading existing systems to optimize their functionalities (e.g., PI Historian, SIMCA-Online®)
• Designing and building production data pipelines from ingestion to consumption within a big data architecture using object oriented/object function scripting languages: R, Python, Java, C++, MATLAB
• Designing efficient and secure procedures for data management and analysis according to GMP requirements
• Liaising with Production, IT, Engineering and Automation teams to identify and prioritize improvement areas
• Optimization of data queries and flows
• Forecasting with linear and non-linear methods
• Applying data structures and algorithms to solve real world problems

Change and Transformation Leadership

• Contribute to the site digital transformation journey to ensure durable competitiveness
• Develop trusting and respectful relationships
• Engage and motivate co-workers to adopt and integrate digital technologies in their respective areas

Continuous improvement

• Continually seek to improve the efficiency of workflows to simplify processes
• Contribute to continuous improvement by making proposals and participating in the implementation of tangible and effective actions.
• Ensure the implementation, monitoring and communication of performance indicators related to data & digital activities

What you’ll bring to the role:

• Knowledge in programming languages and development platforms (R, Python or/and Matlab)
• Knowledge of data warehousing and big data design concepts
• Experience in dealing with complex datasets and in designing models from structured and unstructured data
• Preferably, previous experience in GMP manufacturing (pharma or biotech)

Desirable requirements:

• University degree in Science is required (BSc./MSc), Biotech, Chemical Engineering, Computer Science, Information Technology or other relevant fields
• Fluent English (French is a plus)
• At least one successful project in manipulating, processing data and extracting value from large & disconnected databases
• Excellent problem-solving skills and ability to work with little or no supervision
• Ability to deal with multiple projects and competing priorities

You’ll receive:

• A competitive salary
• An annual bonus
• A focus on your career development
• Access to our Quality of Life at work programme
• Flexible working
• Advanced social coverage for you and your loved ones
• 27 days of paid leave & 14 days of RTT per year
• Various employee recognition programs

Why consider Novartis?

799 million. That’s how many lives our products touched in 2019. And while we’re proud of that fact, in this world of digital and technological transformation, we must also ask ourselves this: how can we continue to improve and extend even more people’s lives?
We believe the answers are found when curious, courageous and collaborative people like you are brought together in an inspiring environment. Where you’re given opportunities to explore the power of digital and data. Where you’re empowered to risk failure by taking smart risks, and where you’re surrounded by people who share your determination to tackle the world’s toughest medical challenges.

Imagine what you could do at Novartis!

Novartis has been certified as a Top Employer in France

Commitment to Diversity & Inclusion:

Novartis embraces diversity, equal opportunity and inclusion. We are committed to building diverse teams, representative of the patients and communities we serve, and we strive to create an inclusive workplace that cultivates bold innovation through collaboration, and empowers our people to unleash their full potential.

Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to learn more about Novartis and our career opportunities, join the Novartis Network here: https://talentnetwork.novartis.com/network

Novartis Technical Operations

NTO LARGE MOLECULES

France

Huningue

Novartis Pharma France SAS

Belgique

Allemagne

Espagne

Opérations techniques

Temps plein

Permanent

Non

Non