Data Scientist for analysis of biological sequences

We seek a curious, self-driven machine learning researcher interested in applying his/her skills to solve highly applied world-changing biological problems. Specifically, you will have an opportunity to develop novel algorithms for protein-based drug design. The project has a high-potential move from an academic experiment to a spin-off company aiming to solve protein-based drug design and expression problems using AI. If you are proactive and passionate about AI research, its application and believe in ideas that can be realized by creating high-tech startups, this project is for you.

Information about the project and the division
This project is supported by Wallenberg Launch Pad (WALP ) program and will be conducted at the Department of Biology and Biological engineering, at the division of Systems and Synthetic Biology . The Division of Systems and Synthetic Biology at the Chalmers University of Technology is one of the world's leading research groups within systems and synthetic biology of metabolism. Our research interests involve a wide range of activities from the fundamental understanding of cellular operation principles, combined with a highly applied research directed towards the development of new cell factories for the production of socioeconomically valuable chemicals/proteins/drugs. Our division is highly interdisciplinary collaborative research environment where both computational biologists and wet lab scientists working together towards making a better future for our planet.

Major responsibilities
- You will apply advanced statistical / ML methods and work with large, complex biological datasets (mainly sequence data).
- You will propose, design and analyze new algorithms to benefit protein sequence analysis.

Qualifications
- MSc or PhD degree in machine learning or related field.
- 3+ years of working experience with deep neural networks frameworks and practical understanding of the algorithms and mathematics behind modern machine learning approaches is a must.
- You have experience implementing new algorithms and data engineering/analysis aspects in Python, or you have research experience in at least three of the following research areas: Bioinformatics, Machine Learning, Statistics, Natural Language Processing, Generative modelling, Immunological informatics.
- Proficiency with Linux and scripting languages.
- Practical understanding of the mathematics behind modern machine learning, linear algebra and statistics.
- Proven ability to apply statistical techniques to tackle real problems.
- Ability to take requirements from design to implementation both independently and with larger teams under tight deadline constraints.
- Understanding of biology and bioinformatics is desirable.

Contract terms
Temporary employment.

We offer
Chalmers offers a cultivating and inspiring working environment in the coastal city of Gothenburg .
Read more about working at Chalmers  and our benefits  for employees.

Chalmers aims to actively improve our gender balance. We work broadly with equality projects, for example the GENIE Initiative on gender equality for excellence . Equality and diversity are substantial foundations in all activities at Chalmers.

Application procedure
The application should be marked with Name, Ref 20210619  and be attached as PDF files, as below:

CV

Personal letter

Other documents (optional):
• Copies of completed education, grades etc. Two references that we can contact should be provided at a possible interview.

Please use the button at the bottom of the page to reach the application form.

Application deadline: 19 February, 2022

For questions, please contact:
Associate Professor Aleksej Zelezniak
E-mail: [email protected]

*** Chalmers declines to consider all offers of further announcement publishing or other types of support for the recruiting process in connection with this position. ***

Chalmers University of Technology conducts research and education in engineering sciences, architecture, technology-related mathematical sciences, natural and nautical sciences, working in close collaboration with industry and society. The strategy for scientific excellence focuses on our six Areas of Advance; Energy, Health Engineering, Information and Communication Technology, Materials Science, Production and Transport. The aim is to make an active contribution to a sustainable future using the basic sciences as a foundation and innovation and entrepreneurship as the central driving forces. Chalmers has around 11,000 students and 3,000 employees. New knowledge and improved technology have characterised Chalmers since its foundation in 1829, completely in accordance with the will of William Chalmers and his motto: Avancez!

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