PhD student in target site-pharmacokinetic modeling in brain tumor patients

12 Mar 2024
Job Information

Organisation/Company

Amsterdam UMC

Research Field

Medical sciences

Researcher Profile

First Stage Researcher (R1)

Country

Netherlands

Application Deadline

25 Mar 2024 - 22:59 (UTC)

Type of Contract

Temporary

Job Status

Not Applicable

Hours Per Week

36.0

Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme

Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

Would you like to contribute to the optimization of drug treatment with tyrosine kinase inhibitors in primary and metastatic brain tumors?

You will become part of a multidisciplinary research group, consisting of clinical pharmacologists; hospital pharmacists; various clinicians, including a neurologist, neuro-oncologist, medical oncologist, pulmonologist, neurosurgeon, and radiologist; clinical physicists; analysts; PhD candidates, and students.

You will quantify data from radioactively labeled drugs with Positron Emission Tomography (PET/CT), various MRIs, and include measurements of the amount of tyrosine kinase inhibitors (TKIs) in the blood and in brain tissue from surgery. You will combine these measurements with patient characteristics in a mechanistic whole-body pharmacokinetic model to better predict the overall amount and its variability of tyrosine kinase inhibitors in the blood, brain, and (brain) tumors.

With pharmacokinetics/pharmacodynamics (PKPD) modeling, we will then establish the relationship between exposure and response. The goal is to develop a model-informed precision dosing tool, which will optimize the effectiveness of TKIs (precision medicine) and accelerate the development of non-invasive imaging biomarkers for patients with brain tumors. In addition, you will contribute to pharmacokinetics education at the Vrije Universiteit.

More information about the project: Mechanistische tumor-penetratiemodellen in primaire en gemetastaseerde hersentumoren voor geïndividualiseerde tyrosine kinase inhibitor selectie en dosering | KWF

Requirements
Specific Requirements

• A completed university degree pharmaceutical sciences/pharmacy, toxicology or bioinformatics/data science, the latter with a proven interest in pharmacology
• Demonstrable experience with clinical pharmaceutical modeling or machine learning
• Excellent communication skills with researchers and clinicians
• Familiarity with R, NONMEM or Python
• Willingness to work GCP compliant
• Residence: Netherlands

Additional Information
Benefits

• A one-year contract (12 months) with the intention to extend for another 36 months
• Possibility to work up to 50% from home
• In addition to a good basic salary, you will receive, among other things, an 8.3% year-end bonus and 8% holiday allowance
• Calculate your net salary here (subject to conditions)
• Free and unlimited access to our online learning environment GoodHabitz
• Pension accumulation at ABP, of which we pay 70% of the premium
• A (partial) reimbursement of your public transport costs. Prefer to come by bike? Then we have a good bike scheme
• An active staff association and various fun (sports) activities and events throughout the year

Additional comments

The first round of job interviews is scheduled for the 2nd & 3th of April 2024. We ask you to take this into account when applying. A final interview will be held on 12th of April.

Do you have any questions? For substantive information about the position, you can contact Imke Bartelink, +316-11037802 or [email protected] .

For more information about the application procedure, you can contact Rodmer de Lange, Recruitment Advisor at +316 11 03 78 70 or [email protected] .

A reference check, screening, and appointment examination may be part of the procedure. Read here what this entails. If you come to work with us, we ask for a VOG (Declaration of Conduct).

Acquisition in response to this vacancy is not appreciated.

Website for additional job details

https://www.academictransfer.com/337838/

Work Location(s)

Number of offers available

1

Company/Institute

Amsterdam UMC

Country

Netherlands

City

Amsterdam

Postal Code

1081HV

Street

De Boelelaan 1117

Geofield

Where to apply

Website

https://www.academictransfer.com/en/337838/phd-student-in-target-site-pharmacok…

Contact

City

Amsterdam Zuidoost

Website

https://www.amsterdamumc.org/

Street

Meibergdreef 9

Postal Code

1105 AZ

STATUS: EXPIRED