Do you want to develop yourself at one of the largest organizations dedicated to bringing meaningful innovation to global health? Then this is your chance! We are looking for an enthusiastic intern for the Bacterial Vaccines department at Janssen Vaccines and Prevention (one of the Janssen Pharmaceutical Companies of Johnson&Johnson) to work within the Biochemical Processes team of the Bacterial vaccine development department.
We are looking for someone who can ideally start between half of September and early October 2023 for 40 hours per week (negotiable). The duration of this internship is at least 6 months.
what we offer
- €650 / month internship compensation
- Your development comes first
- Internship duration for at least 6 months
- Working in an international organization
- Opportunity to work in a collaborative environment
- Learn how to present scientific datain a team
who are you
- MSc in Life Sciences, Biochemical Engineering, Biochemistry or related field.
- Experience with programming (preferable but not necessarily with Python).
- Affinity and knowledge for chromatography modelling.
- Experience with Schrodinger or molecular dynamics modelling software is a plus.
- Analytical and creative thinking to be able to analyze and evaluate large amounts of data.
what will you do
During earliest stages of development of a biopharmaceutical, significant amounts of antigen need to be produced in a setting where information about the physical-chemical properties of the antigen is scarce or non-existing. This information gap creates a negative feedback loop, in which no properties are available to define suitable production conditions and no purified product can be used to experimentally extract these features. The lack of information leads to the develop of non-ideal process conditions and parameters which have to be designed using heuristic rules. The present project aims to address these limitations by developing and setting-up methods that have become more prominent in the last few years due to the exponential increase in computational capacity. Such methods– entailing biophysics, molecular modelling, and thermodynamics – are able to perform in silico predictions for complex biological molecules. The estimated properties can ultimately be applied in the steric-mass action adsorption isotherm model for predicting chromatographic behavior – the mostcommonly used unit operation in pharmaceutical downstream processing, that in turn can be used to optimize the design of process parameters and conditions.
where will you work
Stage 0: Literature and software review
a)Critical overview of the different methodologies available in literature:
i. Advantages and limitations.
ii. Suitability for predicting chromatographic behavior.
b) Review of previous studies performed in Janssen within this project.
c) Getting acquainted with the software tools.
d) Decide on key points in order to complete the project objectives.
Stage 1: Setting-up the model and data analysis
a) Selected methodology is applied to a model protein (e.g., BSA, lysozyme, etc.) for which
literature data is available. By the end of this period, the student should be able to:
iii. Replicate the results of the simulations performed.
iv. Choose and apply methods to analyze the data in order to address key questions.
Stage 3: Testing the model and reporting
a) Use the validated model to predict results available in literature with model protein.
b) Final report generation
Interested? Please apply using the bottom below.
Don’t forget to hand in your motivation letter and CV to have the best chance!
Uiteraard staat deze vacature open voor iedereen die zich hierin herkent.