Third level Researcher (R3) in the field of Computational Metagenomics - Recruiting for the formation of a ranking for permanent positions (356_CRI_CMG)

Edmund Mach Foundation, Italy

Updated: 2 months ago
Job Type: FullTime
Deadline: 11 Mar 2024

15 Feb 2024
Job Information
Organisation/Company

Edmund Mach Foundation
Department

Research and Innovation Centre
Research Field

Biological sciences
Computer science
Environmental science
Other
Researcher Profile

Recognised Researcher (R2)
Established Researcher (R3)
Country

Italy
Application Deadline

11 Mar 2024 - 23:59 (Europe/Rome)
Type of Contract

Temporary
Job Status

Full-time
Hours Per Week

38
Offer Starting Date

15 May 2024
Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme
Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

The successful candidate will contribute to develop and maintain a state-of-the-art platform for microbiome data generation and perform, with adequate autonomy, analysis of large-scale metagenomics datasets from internally funded and collaborative national and international projects. 
She/he will also develop new computational tools to complement those publicly available and internally developed in the lab. Specific topics will include strain-level metagenomic profiling, comparative metagenomics, functional potential profiling, metabolic pathway analysis, integration of multi-omics data. 
The successful candidate is also expected to establish and maintain a network of internal and external collaborations and actively contribute to identify new funding opportunities.
 


    Requirements
    Research Field
    Biological sciences
    Education Level
    PhD or equivalent

    Research Field
    Computer science
    Education Level
    PhD or equivalent

    Research Field
    Environmental science
    Education Level
    PhD or equivalent

    Research Field
    Other
    Education Level
    PhD or equivalent

    Skills/Qualifications

    Under the supervision of the PI, the selected researcher is expected to:

    • Develop, customise and maintain a set of computational tools, reference databases and pipelines for the analysis of targeted and untargeted metagenomic data from different environmental sources, including soil, water as well as host-associated ecosystems;
    • In collaboration with the Sequencing and Genotyping platform, adapt, develop and implement computational data analysis platforms tailored to innovative metagenomic sequencing methods such as long reads sequencing;
    • Perform  analysis and meta-analysis of microbiome data and produce analysis reports;
    • Maintain and document repositories of raw and analysed data and ensure the FAIRness of both data and analysis tools;
    • Expand the existing national and international collaboration network in environmental and agricultural microbiome research and identify new funding opportunities;
    • Disseminate research results through publications on scientific and technical journals and presentations in national and international meetings.

    Specific Requirements
    • PhD in the area of Bioinformatics, Computational Biology, Genomics, Genetics, Microbiology, Microbial Ecology, Molecular Biology, Population Genetics, Phylogenetics, Data Science, Computer Science, or equivalent.
    • Knowledge of written and spoken English (B2 level), evaluated during the interview.

    Languages
    ENGLISH
    Level
    Excellent

    Research Field
    Biological sciencesComputer scienceEnvironmental scienceOther

    Internal Application form(s) needed
    356_CRI_CMG_Application Annex A.pdf
    English
    (195.45 KB - PDF)
    Download
    Additional Information
    Benefits
  • Family Audit  certified company, with flexible working time and human resources management policy, for the wellbeing of the employees and their families;
  • Gender Equality Plan (GEP)  that promotes gender equality through a process of structural change;
  • In-house dining hall in San Michele all’Adige, as well as a payment card for meals taken in registered non-company facilities , with the value of Euro 6.00 per meal;
  • Bike-sharing  facility and free car park within the San Michele all'Adige campus and at the peripheral locations;
  • Free “Education Roaming  (Eduroam) ” WiFi on the San Michele all’Adige campus (90% coverage) and in facilities of other entities affiliated with GARR for the Wi-Fi service;
  • Employee discount for the purchase of products from the Edmund Mach Winery  sales point;
  • Staff sports club, with discount for members and promotions of sport-recreational activities (on-campus gym);
  • Internal market of agri-food products prepared by the Foundation students.

    • Eligibility criteria

    Applications to participate in the selection must be sent in electronic format to the email address (not certified email address, a.k.a. PEC) [email protected] , indicating the recruitment code (356_CRI_CMG – Permanent R3 Computational Metagenomics) in the subject of the message and must consist of:

    •  the application form (Annex A), as per the model available on the webpage announcement, which must be saved with the file name and extension: Surname First Name_Application.pdf. The application must be fully completed, without any reference to other attached documentation and/or information;
    • the candidate’s curriculum vitae, saved with the file name and extension as follows: Surname First Name_CV.doc or .pdf;
    • a copy of a valid identity document.

    Any person encountering difficulty in submitting the application due to disability is invited to contact +39 0461 615542.

     


    Selection process

    By qualifications as expressed in Annex A (maximum 30 points) and interview (maximum 70 points). The results of the selection are based on the sum of the points awarded for the two phases of the selection process.

    During the interview, which will be conducted in English, the following knowledge will be verified (maximum 70 points): 

    • Advanced computational methods, pipelines and approaches for the analysis of targeted and untargeted metagenomic data (maximum 20 points);
    • Experimental frameworks and sequencing methods for the generation of metagenomic data (maximum 20 points);
    • Approaches for the statistical modelling of microbiomes, including meta-analytical and machine-learning methods (maximum 20 points);
    • Computational methods for functional profiling and prediction of metabolic pathways in microbial communities (maximum 5 points);
    • General organisation and activity of FEM, rights and duties of employees (maximum 5 points).

    In the interview, the candidate must achieve a minimum score of 40/70 points.

    On the basis of the information provided exclusively in the application (Annex A), FEM will select the best 15 candidates evaluated based on the following criteria (maximum 30 points):

    • Relevance of the PhD thesis to the following topics: Bioinformatics, Computational Biology, Genomics, Metagenomics, Population Genetics or equivalent (maximum 7 points attributed according to the following criteria: 0 points=no match, 1=minimal match, 4=medium match, 7=perfect match);
    • Post-doc work experience in the area of Bioinformatics, Computational Biology, Genomics, Metagenomics, Population Genetics (0,3 points for every month of experience up to maximum 10 points);
    • Scientific publications in journals with impact factor in the field of Bioinformatics, Computational Biology, Genomics, Metagenomics, Population Genetics or equivalent (0,5 points per item up to maximum 13 points. The score of the individual publications will be doubled if the candidate appears as first, last or corresponding author).
       

    Additional comments

    Provincial Collective Contract for Personnel of Research Foundations (https://trasparenza.fmach.it/Amministrazione-Trasparente/Personale/Cont… ), Third level Researcher, current gross remuneration of Euro 41.475,00, including 13th and 14th month’s pay.

    Applications must arrive by and no later than 23:59 CET (the date and time of receipt shown in the electronic mail account of the Foundation shall be valid) on March 11, 2024. The recruitment procedure will terminate at the latest by September 11, 2024

    In accordance with Article 13 of the EU General Data Protection Regulation 2016/679 ("GDPR" or "Regulation"), and in general with the principle of transparency set out in the Regulation, the Edmund Mach Foundation provides information on the processing of personal data at the webpage "Privacy Policy “. 
    The candidate takes full responsibility for all the information included in their application form and curriculum vitae. The Foundation reserves the right to require that the candidate considered suitable for the post shall offer documentary proof of the qualifications they have listed. 
     


    Website for additional job details

    https://fmach.it/en/Work-with-us

    Work Location(s)
    Number of offers available
    1
    Company/Institute
    FONDAZIONE EDMUND MACH – ISTITUTO AGRARIO DI SAN MICHELE ALL’ADIGE
    Country
    Italy
    State/Province
    TRENTO
    City
    San Michele all'Adige (Tn)
    Postal Code
    38098
    Street
    Via Mach 1
    Geofield


    Where to apply
    Website

    https://fmach.it/en/Work-with-us

    Contact
    State/Province

    TRENTO
    City

    Trento
    Website

    https://fmach.it/en/Work-with-us
    Street

    Via Mach 1
    Postal Code

    38098
    E-Mail

    [email protected]
    Phone

    +390461615542

    STATUS: EXPIRED

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