Dmpk/pd Data Scientist - Basel, Schweiz - Datalynx AG

Datalynx AG
Datalynx AG
Geprüftes Unternehmen
Basel, Schweiz

vor 3 Wochen

Lena Schneider

Geschrieben von:

Lena Schneider

beBee Recruiter
Beschreibung
For our client, a well-known pharmaceutical company in Basel, an experienced DMPK/PD Data Scientist (M/F/d).


Background:

Has an academic Degree, preferable MSc.

or PhD degree in life science, computer science, mathematics, or statistics, preferably with industry experience and knowledge in one or more of the following areas:
programming (e.g. Python, R, C++, Java, SQL), machine learning, chemoinformatics, computational chemistry, biology, or toxicology.


General Information:


  • Start date: ASAP
- latest

Start Date:

  • Duration: 1 year
  • Extension (in case of limitation): very likely
  • Workplace: Basel
  • Workload: 80100%
  • Home Office: up to 2 days per week

Tasks & Responsibilities:


  • Support of nonclinical PK and PKPD studies
  • Support front
- and back-end IT infrastructure related to planning, execution, analysis, and database curation of non-clinical pharmacokinetic (PK) and pharmacokinetic-pharmacodynamic (PKPD) studies

  • Development of standardized PK protocols with external collaborators (CROs) to reduce turnaround time
  • Validation of external PK reports in collaboration with internal stakeholders and study monitors
  • Support tools and work as PK customer representative for automated data analysis and prediction tools such as integrated high throughput PBPK models.
  • Integration of available in vitro and in vivo nonclinical data. Integration and visualization of available data within databases and maintenance of software used by drug discovery teams (e.g. D360, Spotfire)
  • Liaise data analysis workflows with other functions such as PBPK modeling approaches., machine learning (ML) models and PKPD models (built in R, Berkeley-Madonna, Phoenix WinNonlin, Monolix, Morphit)

Must Haves:


  • Min. 12 years experience in programming (e.g. Python, R, C++, Java, SQL)
  • Ability to perform PBPK analysis
  • Fluent in English
  • Experience in machine learning, chemoinformatics, computational chemistry, biology, or toxicology is a plus
  • Experience in pharmaceutical industry, pharmacokinetic evaluation or drug discovery/development is a plus
  • Experience in a GMP regulated environment is a plus

Nice to haves
**- Former Pharma Experience


Contact:

Jan Schmitz-Elsen
Talent Acquisition Consultant
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