Job
- Level
- Senior
- Job Field
- BI, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- from 65.605 € Gross/Year
- Location
- Gemeinde Langkampfen
- Working Model
- Onsite
Job Summary
In this role, you will develop data and automation strategies for processes, support the generation of experimental data, and optimize laboratory workflows for the characterization of recombinant proteins.
Job Technologies
Your role in the team
- Develop and evolve data and automation strategies for downstream process development activities.
- Collaborate with cross-functional teams to drive digital transformation and automation initiatives.
- Support and enhance data & digital and automation use cases by providing expert insights and solutions.
- Stay up to date with the latest trends and advancements in data science and automation technologies.
- Support and generating experimental data for process modeling in late-phase development, enabling targeted process characterization efforts.
- Evaluation of new technologies and equipment for automation of laboratory activities.
- Perform chromatography steps, cross flow filtration / tangential flow filtration, and other membrane separation methods for purification of recombinant proteins as part of process development and characterization at laboratory and pilot scale.
- Independently plan, organize, perform, and document scientific experiments; handle several activities at a time.
- Documentation of the studies in electronic documentation systems according to defined standards.
- Generate scientific documents to hand over to internal and / or external partners and support generation of international registration documents under minimal supervision.
- Contribution to technology transfers to internal and external sites and definition of process steering controls.
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Our expectations of you
Qualifications
- Strong expertise in designing and optimizing data flows.
- Proficiency in programming languages such as Python, R, or SQL.
- A personality with a can-do mentality and the ability to adapt to change with strong communication across organizational interfaces.
- Fluency in English.
Experience
- Completed studies in Biotechnology, Process Engineering, Biology, Pharmaceutical Technology, Technical Chemistry, Pharmacy, Data Science or Computer Science (or comparable), ideally with several years of industry experience.
- Experience in data science, data engineering, and automation.
- Experience with data visualization tools and techniques.
- Experience in Downstream Processing, in particular with chromatography systems, e.g., ÄKTA systems.
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Benefits
Work-Life-Integration
Job Locations
Topics that you deal with on the job
This is your employer
Novartis
Kundl
Members of the Novartis Group, we have locations in Kundl, Schaftenau, Unterach/ Attersee and Vienna where we are focused on researching, developing, producing and selling medications. For over 70 years medications have been produced biotechnologically in Kundl.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Pharmaceutical Sector, Chemical Industry, Biotech