Postdoctoral Researcher for the Oncology Data Analytics Program
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Reference: 401_R_SM
IDIBELL is looking for a Posdoctoral Researcher for the Oncology Data Analytics Program
About the research group
The Oncology Data Analytics Program (ODAP) was formed in 2019 answering the needs of the Catalan Institute of Oncology (ICO) and IDIBELL for a unique program covering the genomic cancer research, bioinformatics knowledge and resources to support the institute in oncological data handling, analysis and research. By applying state-of-the-art bioinformatic tools and analysis, the program reaches their main obejectives in cancer prevention and early detection of cancer. The program is divided in three subunits: Bioinformatics for Precision Oncology (B4PO), Oncology Outcomes, and the Biomarkers and Susceptibility Unit (UBS). To find out more, visit our website: https://www.odap-ico.org/
About the role
We are seeking a highly motivated Postdoctoral Scientist with a PhD in Biomedical Sciences in the microbiome field. The successful applicant will work under a new project funded by La Marató TV3, a collaborative project between IDIBELL and IDIBGI .
The overall aim of the project is to investigate intra-tumor microbiota in pancreatic cancer patients in the context of an ongoing epidemiological study of cancer patient prognosis.
The project will analyze microbiota composition in recently collected tumor specimens using 16S tRNA gene sequencing to identify potential effects on tumor progression, treatment resistance, patient survival, as well as analsyis of potential interactions with host and tumor microenvironment immune response.
Job requirements
Professional experience
- Acredited professional experience in the analysis of microbiome data (NGS, 16S, library preparation and functional studies)
- Experience or knowledge of basic statistics is desired
Education and training
- PhD in Biomedical Science discipline related to the study of the microbiome (ie. Computational analysis, laboratory analysis, etc)
- Experience or knowledge in cancer and/or chronic disease research desired but not required
Technical skills
- Programming languages for data science (R, python)
- Linux environment, HPC
- Analysis of NGS data and specific software for microbiome analyses
- Experience in the lab analyzing microbiome (not required)
Languages
- Good command of the English language,
- Knowledge of Spanish and/or Catalan will be valued
We will value, but not required
- Knowledge and experience in cancer research
What do we offer
- Nº of positions: 1
- Start date: 05/09/2022
- Contract duration: Temporary (6 months)
- Estimated annual gross salary: it is commensurate with qualifications and consistent with our pay ranges.
- You will be part of a multicultural team. We have a fun loving and friendly international work environment.
- Flexible working schedule - We know you have a life outside of work and we will work with you to make sure it's kept that way.
- Benefits of constant training are offered.
- We offer and promote diverse and inclusive conditions. Applicants are made free from any discrimination.
Application
All applications must include the following:
- A CV including contact information
- Contact details of two referees
Selection process
- Pre-selection: The pre-selection process will consist on an eligibility check based on qualifications and expertise reflected on the candidate's CV.
- Interview: Best positioned, pre-selected candidates may be called to arrange an interview. Candidates will be interviewed by the hiring manager and an ad hoc selection panel.
- Formal offer letter: Once identified, the Talent Unit will send a job offer to the successful candidate indicating start date, salary, working conditions, and any additional relevant details.
Deadline: 19/08/2022
Data protection notice
IDIBELL ensures that applicants’ personal data are processed as required by the EU General Data Protection Regulation (GDPR) and Spanish Law 3/2018 on Data Protection. Personal data is processed solely for the purpose of the selection procedure.
Our institute
IDIBELL is a research center that integrates the biomedical research of the Bellvitge University Hospital (HUB), the Catalan Institute of Oncology (ICO), and the University of Barcelona in the Bellvitge Campus (UB), and the Viladecans Hospital (HV). The research focuses of IDIBELL are cancer, neuroscience, translational medicine and regenerative medicine. Research, innovation and society are the pivots on which researchers work every day in order to improve the quality of life of citizens.
Observations
The 'HR Excellence in Research' award represents IDIBELL’s commitment to the implementation of Human Resources policies, which oversee the attracting and development of talent in an open, transparent, and based on personal merit, in alignment with the principles of the European Charter for Researchers and the Code of Conduct for the Recruitment Researchers (Charter and Code).
IDIBELL is committed to the principles of the Code of Conduct for the Recruitment of Researchers of the European Commission and the implementation of open, transparent and merit-based recruitment (OTMR).
The project leading to this labor contract has received funding from Maraton TV3 under the project code 201912-30.


- Category
- Research
- Locations
- IDIBELL
About IDIBELL
Bellvitge Biomedical Research Institute is focused in cancer, neuroscience, translational medicine and regenerative medicine. Research, innovation and society are the axes on which researchers work every day with the goal of improving the quality of life of citizens.
Our mission is to carry out research of excellence that integrates knowledge and innovation in health, contributing to the improvement of people's quality of life.
Our vision of future is to become a European reference in health sciences, rooted in our local environment and contributing to its growth by attracting and retaining research talent in health sciences.
In order to fullfil both, our values are: integrity, confidence, transparency, aspiration, passion and commitment.
Postdoctoral Researcher for the Oncology Data Analytics Program
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