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Msc Student Proc Dev

vor 3 Monaten


Basel, Schweiz Novartis Vollzeit

392877BR

**MSc student Proc Dev & New Technologies**:
Switzerland

**About the role**

As a Master student for process development and new technologies, you will be a key enabler for our aspirations to advance process analytical technologies (PAT) in upstream process development and contribute to our innovation strategy. You will be working on PAT-related innovation projects using spectroscopy-based method for real-time cell culture media release and/ or dynamic feeding strategy in fed-batch cell cultures, in close collaboration with experts within the Biologics community.
Your Responsibilities:
Your responsibilities include, but are not limited to:

- Be responsible for designing, planning, executing, and evaluating experiments to support the innovation project for real-time monitoring and control of upstream processes using Raman spectroscopy.
- Perform data preparation, pre-processing and multivariate data analysis (MVDA) with spectral data.
- Develop and evaluate spectroscopy-based machine learning models.
- Collaborate with lab experts, engineers and automation colleagues for implementation of developed method.
- Present and document experimental results, data analysis, models, and other findings in various forums.
- Identify and support new PAT initiatives in the upstream area, as well as proactively identify challenges and propose solutions.

Preferred start date: April 2024
Duration: 6 months
LI-Onsite

**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._

**Role Requirements**

What you’ll bring to the role:

- Recent post-graduate in a relevant field as data science, bio-informatics, biochemical engineering, bioprocess technology or similar with a strong background on coding and programming
- Experience in PAT, data pre-processing and machine learning algorithms
- Practical experience with statistical methods (DoE, MVDA) and coding skills (i.e. Python)
- Experience with the Python data science stack (Numpy, Scikit-Learn, Pandas) are preferred
- Excellent ability to build collaborative relationships and a can-do mind-set
- Outstanding communication, presentation, and technical writing skills are expected
- Proven ability to manage and prioritize multiple tasks
- Agility to adjust to a fast-changing working environment
- Knowledge on USP processes and engineering principles are highly preferred
- Proficiency in oral and written English

Desirable requirements:

- Curious mindset with a strong interest in new technologies
- Attitude to resolve challenges with the ability to accurately balance between efforts, risks and benefits

Accessibility and accommodation
Novartis is committed to working with and providing reasonable accommodation to all individuals. If, because of a medical condition or disability, you need a reasonable

**Division**

Development

**Business Unit**

TECHNICAL R & D GDD

**Work Location**

Basel

**Company/Legal Entity**

Novartis Pharma AG

**Functional Area**

Interns/Students on Novartis Payroll

**Job Type**

Full Time

**Employment Type**

Internship

**Shift Work**

No

**Early Talent**

Yes