The Institute
The Centre for Genomic Regulation (CRG) is an international biomedical research institute of excellence, based in Barcelona, Spain, with more than 400 scientists from 44 countries. The CRG is composed by an interdisciplinary, motivated and creative scientific team which is supported both by a flexible and efficient administration and by high-end and innovative technologies.
In April 2021, the Centre for Genomic Regulation (CRG) received the renewal of the 'HR Excellence in Research ' Award from the European Commission. This is a recognition of the Institute's commitment to developing an HR Strategy for Researchers, designed to bring the practices and procedures in line with the principles of the European Charter for Researchers and theCode of Conduct for the Recruitment of Researchers (Charter and Code).
Please, check out our Recruitment Policy
The role
The successful applicant will work as part of a team to produce and analyse a very large dataset of how variants affect protein-protein binding affinity across many structurally diverse proteins. The goal is to understand, predict and engineer sequence-to-affinity encoding using a combination of massively parallel mutagenesis and machine learning.
About the lab
The Genetic Systems lab combines massively parallel mutagenesis and selection experiments with machine learning to tackle the foundational sequence-to-activity relationships of molecular biology and to make biology predictive and programmable.
Whom would we like to hire?
Professional experience
Must Have
Experience in high-throughput biology, genomics or biophysics
You have proven experience with the organisation, execution and analysis of biological experiments at scale
Good understanding of statistic and bioinformatics
Desirable but not required/ Nice to have
Experience working with bacteria, yeast or mammalian cell culture
Experience in machine learning
Education and training
You hold a Phd in genomics, biophysics or a related discipline
Languages
You are proficient in English
Technical skills
Ability to plan, execute, organise the data from and analyse high throughput experiments
Statistics and computational biology
Competences
Highly developed organizational skills
Good written and verbal communication skills
Ability to work as part of an interdisciplinary and diverse team
Ability to work to deadlines, plan and organise large-scale experimental data production
The Offer – Working Conditions
Contract duration: Technical and scientific activities contract (estimated 1 year)
Estimated annual gross salary: Salary is commensurate with qualifications and consistent with our pay scales
Target start date:April 2024
We provide a highly stimulating environment with state-of-the-art infrastructures, and unique professional career development opportunities. To check out our training and development portfolio, please visit our website in the training section .
We offer and promote a diverse and inclusive environmentand welcomes applicants regardless of age, disability, gender, nationality, ethnicity, religion,sexual orientation or gender identity.
The CRG is committed to reconcile a work and family lifeof its employees and are offering extended vacation period and the possibility to benefit from flexible working hours.
Application Procedure
All applications must include:
A motivation letter addressed to Dr Ben Lehner
A complete CV including contact details.
Contact details of two referees.
All applications must be addressed to Dr. Ben Lehner and be submitted online through the "Apply" button below.
Selection Process
Pre-selection: The pre-selection process will be based on qualifications and expertise reflected on the candidates CVS. It will be merit-based.
Interview: Preselected candidates will be interviewed by the Hiring Manager of the position and a selection panel if required.
Offer Letter: Once the successful candidate is identified the People department will send a Job Offer, specifying the start day, salary, working conditions, among other important details.
Deadline: Please submit your application by April 12th, 2024.
The contract will be financed by ERC
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