Technician in Artificial Intelligence and Computational Drug Discovery

2 dagen geleden

Leiden, Nederland Universiteit Leiden Voltijd

Vacaturenr.

15384

Functie-categorie

Niet-wetenschappelijke functies

Omvang (fte)

0,8-1,0

Extern/intern

Intern, Extern

Locatie

Leiden

Geplaatst op

24 december 2024

Sluitingsdatum

31 januari 2025

**The Faculty of Science and the Leiden Academic Center for Drug Research are looking for a**

**Technician in Artificial Intelligence and computational drug discovery (0.8-1.0 fte)**

**Project description**
Within the Leiden Academic Centre for Drug Research (LACDR), part of the faculty of science, we are looking for a technician in the area of AI and computational drug discovery. Research within our division, Medicinal Chemistry, is focused on developing tools to improve the drug discovery process. The vacancy is in the PI group Computational Drug Discovery (CDD) and embedded in the national growth fund project Oncode Accelerator, specifically the AI platform.

CDD works on the intersect between medicinal chemistry and computational sciences and applies novel AI algorithms to chemical and biological data. Furthermore, close collaborations are in place with other PI groups allowing synthesis and biological testing of AI designed molecules.

The Oncode Accelerator AI platform will develop, train, and verify AI tools which will be implemented throughout the preclinical development process in close collaboration with 5 academic and 7 commercial partners. The aim is to optimize and accelerate the development of new cancer therapies by integrating patient data and materials, organoid models, and AI at early stages in preclinical therapy development.

The technician will be responsible for support of Oncode Accelerator developed tools and AI platform data in ongoing projects. In addition, the vacancy includes the following tasks and responsibilities:

- Application and integration of state-of-the-art computational tools in the drug discovery process within the Oncode Accelerator consortia
- Development and maintenance of standing python-based machine learning models
- Participate in the Oncode Accelerator AI platform data management group
- Writing manuals and protocols for (PhD) students
- Updating and patching of computational servers
- Supporting students, PhD students, postdocs, and other employees in a high-performance computational environment
- Teach procedures to Bachelor, Master, and PhD students

You have a Bachelor or Master degree in (bio/chem) informatics, or a relevant computational field

Additional requirements
- Excellent proficiency in English (oral and written)
- Proficiency in python and bash
- Knowledge of data-integrity and data-management
- Creative, 'making things work' mentality, independent, communicative team player
- Experience with machine learning is a benefit

**Research at our faculty and institute**
The Leiden Faculty of Science is a world-class faculty where staff and students work together in a dynamic international environment. Our people are driven by curiosity to expand fundamental knowledge and to look beyond the borders of their own discipline.

**Leiden Academic Centre for Drug Research**

**Division of Medicinal Chemistry**
The division of Medicinal chemistry within LACDR combines a molecular understanding of the interaction between small molecules and their protein targets with cheminformatics for development of novel and safe drug leads. The division is home to a high-performance computer cluster, a state of the art 3D facility, a type C Radiolab, and has an extensive medicinal chemistry and molecular pharmacology lab.

**Terms and conditions**
We offer a full-time appointment of initially 1 year. After a positive evaluation of the progress of the research, personal capabilities and compatibility, the appointment will be extended to maximum of 4 years. Salary ranges from € 2.870;
- to € 3.771;
- gross per month (pay scale 7 in accordance with the Collective Labour Agreement for Dutch Universities).

**Diversity**
Diversity and inclusion are core values of Leiden University. Leiden University is committed to becoming an inclusive community which enables all students and staff to feel valued and respected and to develop their full potential. Diversity in experiences and perspectives enriches our teaching and strengthens our research. High quality teaching and research is inclusive.

**Information**

**Applications**
- Applications are written in English and include a Cover Letter indicating the motivation for the project
- Curriculum vitae and if present a list of publications
- Copy a BSc or MSc degree along with a list of grades
- Contact details of two references
- Acquisition in response to this vacancy is not appreciated._

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