Computational Scientist
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' logo from the European Commission (https://www.crg.eu/en/content/careers/hr-excellence-research). 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 (https://euraxess.ec.europa.eu/jobs/charter/european-charter) and the Code of Conduct for the Recruitment of Researchers (Charter and Code) (https://euraxess.ec.europa.eu/jobs/charter/code).
Please, check out our Recruitment Policy (https://www.crg.eu/sites/default/files/crg/crg_recruitment_policy.pdf ).
The role
A unique opportunity is available for a candidate interested in working in a multidisciplinary environment applying advanced computational analysis in biomedical research at the Center for Genomic Regulation (CRG). The successful candidate will be expected to contribute to research focused on elucidating nuclear architecture and how it regulates nuclear function.
He/she will use computational analysis, including artificial intelligence approaches to analyze super-resolution microscopy imaging data and single particle tracking data to resolve the 3D genome structure and chromatin looping as well as the dynamics of nuclear architectural proteins and transcriptional machinery in somatic, cancer and stem cells.
In addition, he/she will contribute in projects where the computational analysis applied to super resolution imaging will be used to improve tissue regeneration as prospective therapeutical approach. The successful candidate will be focused on exciting projects which will give new insights into how cells determine their fate, which will also provide applications in translational science.
About the lab
Our laboratory, the Reprogramming and Regeneration Laboratory, is studying the mechanisms controlling somatic cell reprogramming and tissue regeneration. In particular, we are studying how the Wnt/b-catenin signalling pathway controls these processes, and how cell-fusion-mediated cellular reprogramming contributes to tissue regeneration and homeostasis. We tackle these questions with different approaches and through different disciplines, which range from the nanoscale level of observation of cell functions, up to the whole mouse organ.
More info about Reprogramming and Regeneration group at: http://piacosmalab.com/
Whom would we like to hire?
Professional experience
Must Have
- You have multiple years of experience in bioinformatic, artificial intelligence, statistical analysis
- You have proven experience in analysing omic data and possibly imaging data
Education and training
- You hold a Phd in computational science, mathematics, physics or related disciplines
Languages
- You are fluent in English
Technical skills
- You have advanced skills with programming (Matlab, Python, R and similar)
- Positively evaluated will be experience with imaging analysis methods, optical methods, and a background in biophysics.
Competences
- You are a highly motivated and expert computational scientist
- Highly developed organizational skills
- Ability to work in a team with multiple scientists
- Flexibility to be involved in multiple projects
The Offer – Working Conditions
- Contract duration: 3 years
- Estimated annual gross salary: Salary is commensurate with qualifications and consistent with our pay scales
- Target start date: as soon as the position is filled
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 (https://www.crg.eu/en/content/training).
We offer and promote a diverse and inclusive environment and 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 life of its employees and are offering extended vacation period and the possibility to benefit from flexible working hours.
Application Procedure
All applications must include:
1. A motivation letter addressed to Dr Pia Cosma.
2. A complete CV.
3. Contact details of two referees.
All applications must be addressed to Dr. Pia Cosma and be submitted online on the CRG Career site - https://recruitment.crg.eu/content/jobs/position/computational-scientist-1
Selection Process
- Pre-selection: The pre-selection process will be based on qualifications and expertise reflected on the candidate CVs. It will be merit-based.
- Interview: Preselected candidates will be interviewed by Dr. Pia Cosma.
- 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 May 31th, 2023.
Suggestions: The CRG believes in ongoing improvement and promotes a culture of feedback. This is one of the reasons we have in place, at your disposal as a candidate, a mechanism to gather your suggestions/complaints concerning your candidate experience in our recruitment processes. Your feedback really matters to us in our aim at creating a positive candidate journey. You can make a difference and help us improve by letting us know your suggestions through the following form (https://recruitment.crg.eu/webforms/recruitment-contact-form-suggestionscomplaints).
Project with official reference 202027-10 funded by Fundació la Marató de TV3.