Job Description

For the Vienna office, we are looking for a Statistics & Modelling Consultant (m/f/d).

Apply Novel Data Science & Modelling Techniques in Biopharma.

As an engaged and innovation-oriented consultant, you will analyze and optimize customer biotechnological processes with a highly qualified and enthusiastic team. You will use cutting edge statistics and data science techniques to support biopharmaceutical clients in order to develop, characterize, validate, and manufacture novel biotherapeutics. You will actively engage new technologies and applications to continuously provide customers with innovative approaches to their challenges.

Workplace will be Vienna with homeoffice possibility (not fully remote).

Your role in our team

• Perform data analysis with state-of-the-art approaches using advanced statistical and mathematical models using Python packages
• Help our clients to speed up process development and increase manufacturing efficiency using modelling approaches
• Propose statistically underpinned experimental designs for process development and process characterization
• Continuously seek out new and innovative approaches to solving problems in the domain
• Contribute to large projects within the industry, reporting to a Project Lead and reviewing all findings for technical rigor and accuracy
• Interpret, present, and communicate results, suggestions, and solutions to clients
• Assume visibility on large projects within the industry / Presentations before industry leaders
• Business development: potential to attend conferences and industry gatherings aimed towards expanding network

Your profile

• Master’s degree and/or PhD with a focus on life sciences, bioprocess engineering, or statistics / data science
• Interest or experience in biotech/bioprocess engineering
• Interest in interpreting and presenting statistical results to clients
• Familiarity with Python i.r.t. data contextualization, visualization, and statistical analysis, and mathematical modelling (differentail euqations)
• Experience with object-oriented programming
• Experience in interpretation of readouts of statistical analysis, such as regression analysis, ANOVA, design of experiments is a plus
• Familiarity with ordinary and partial differntial equations applied to chemical engineering problem is a plus
• Proficient business English and preferably proficient business German
• Team-oriented disposition / comfortable working with an interdisciplinary team (Biotechnologists, Computer Scientists, Statisticians)
• Highly autonomous and results oriented in tight timelines

Your benefits

• Flexible working hours
• Flat hierarchies and efficient internal communication
• Being part of internationally growing team
• Daily meal allowance of EUR 8.00
• Annual ticket of "Wiener Linien / VOR"
• Internal and external training and further development opportunities
• Nice office and modern working atmosphere in the heart of Vienna

We offer an attractive salary package in line with your qualification, experience and individual competencies. We are legally obliged to state that the minimum salary for this position refers to the applicable collective agreement, which is EUR 40.000,00 p.a. (based on full-time). Of course, we are willing to pay a market-rate salary depending on your qualifications and professional background.

Apply now and join our team!

Ready for your next step? Click on ‘ Apply now’ to get started right away! As long as the position is advertised, you can apply at any time.

We value diversity and therefore welcome all applicants - regardless of gender, nationality, ethnic or social origin, religion/belief, disability, age, sexual orientation and identity, and any other protected status. You can find out more about our culture here Culture at Körber - it's worth taking a look!

If you have any questions or technical problems, please send us an e-mail to jobs@koerber.com Lisa Hildebrand is the responsible person for this job advertisement. We work with permanent partners and therefore ask recruitment consultants to refrain from contacting us by e-mail or telephone.