Postdoc Scientist in Clinical Bioinformatics (80-100 %)

Published
Closing Date
WorkplaceMuttenz, Hofackerstrasse 30, North West Switzerland, Switzerland
Category
Position
Occupation rate
80% - 100%

The FHNW School of Life Sciences offers state-of-the-art technical, laboratory and office facilities. Contributing to the school’s highly motivating working environment - which is second to none - are its collaboration with a large number of companies and institutions in Switzerland and abroad, a widely varied programme of scientific events, and daily contact with young students in research and teaching. The FHNW is also committed to equal opportunities and the compatibility of private and professional life.

Description

We seek an expert in clinical bioinformatics to make a significant impact on the daily diagnostic routines of hospitals. The successful candidate will be critical in integrating diverse OMICs datasets to predict drug responses for molecular tumor boards, directly impacting patient care and treatment strategies. This position offers a unique opportunity to collaborate closely with clinicians and develop cutting-edge machine-learning models to prioritize cancer therapies. By joining our dynamic research lab, the candidate will not only contribute to its ground-breaking research, but also shape the future direction and success of the lab. This role is perfect for a driven individual who is ready to advance their career while making a tangible difference in the fight against cancer. 

Key tasks in this postdoctoral position are:
  • develop a machine learning algorithm for predicting drug responses in clinics
  • identify and utilize alternative splicing changes in cancer
  • explore cancer genomics, transcriptomics, proteomics and epigenetics data
  • help teaching bioinformatics topics
  • assist in the preparation and submission of grant proposals and publications
The contract is limited to one year with the option to extend.

Requirements

  • PhD in Bioinformatics, Computational Biology or equivalent
  • practical knowledge in machine learning and cancer genomics
  • excellent verbal and written communication skills in English, German would be a plus
  • highly motivated, seeking independence 
  • team player

Contact and Address

Hofackerstrasse 30 4132 Muttenz

Will you soon belong to our team? We look forward to your application with the contact details of two or three references.
www.fhnw.ch/en/about-­fhnw/schools/­lifesciences

HLS, HABG und CMU FHNW
Désirée Zoller
HR-Verantwortliche HLS, HABG und CMU

HLS, HABG und CMU FHNW
Désirée Zoller
HR-Verantwortliche HLS, HABG und CMU

HABG und HLS FHNW
Cristina Kabas
Personalverantwortliche

Email

Phone

0041 (0)61 228 54 02

Web

In your application, please refer to myScience.uk and reference JobID 252939.