Postdoctoral Researcher In Metabolomics And Computational Chemistry

Universities and Institutes of Italy
November 30, 2023
Contact:N/A
Offerd Salary:Negotiation
Location:N/A
Working address:N/A
Contract Type:Other
Working Time:Full time
Working type:N/A
Ref info:N/A

13 Oct 2023

Job Information

Organisation/Company

CNR

Department

Institute of Neuroscience

Research Field

Chemistry » Biochemistry

Chemistry » Computational chemistry

Neurosciences » Neurochemistry

Chemistry » Analytical chemistry

Researcher Profile

Recognised Researcher (R2)

Country

Italy

Application Deadline

30 Nov 2023 - 00:00 (Europe/Rome)

Type of Contract

Temporary

Job Status

Full-time

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 Martano's group (Institute of Neuroscience, CNR, Milan, Italy) is seeking a highly motivated and skilled Postdoctoral Researcher to join our team. The successful candidate will play a pivotal role in our cutting-edge research project focused on the analysis of the lysosomal metabolome in various lysosomal storage disorders (LSDs). This interdisciplinary project involves collaboration with several groups including multi-omics teams, and data integration experts.

Compensation:

The position offers a competitive salary commensurate with experience.

Responsibilities:

  • Conduct comprehensive metabolomic studies on lysosomal metabolites in different LSDs using state-of-the-art mass spectrometry techniques.
  • Develop and implement novel computational chemistry approaches for the analysis and interpretation of metabolomic data.
  • Collaborate with multi-omics teams to integrate metabolomic data with other omics datasets (e.g., genomics, proteomics) to gain a comprehensive understanding of LSDs.
  • Participate in data analysis, interpretation, and the development of data visualization tools.
  • Publish research findings in peer-reviewed journals and present at scientific conferences.
  • Mentor and collaborate with graduate students and other team members.
  • Application Process:

    Interested candidates are invited to submit the following application materials to [email protected]

  • Curriculum Vitae (CV)
  • Cover Letter detailing their research experience, interests, and motivations for applying.
  • Contact information for three professional references.
  • Copies of relevant publications.
  • Requirements

    Research Field

    Chemistry » Computational chemistry
    

    Education Level

    PhD or equivalent
    

    Research Field

    Chemistry » Analytical chemistry
    

    Education Level

    PhD or equivalent
    

    Skills/Qualifications

  • Experience with the analysis of metabolic pathways and metabolic network analysis.
  • Proficiency in data analysis using relevant software and programming languages (e.g., Python).
  • Excellent written and oral communication skills.
  • Ability to work collaboratively in an interdisciplinary research environment.
  • Strong organizational and project management skills.
  • Prior experience in metabolomics studies related to lysosomal storage disorders is a plus.
  • Specific Requirements

  • Ph.D. in Chemistry, Biochemistry, Metabolomics, Computational Chemistry, or a related field.
  • Strong background in mass spectrometry-based metabolomics and computational chemistry.
  • Languages

    ENGLISH
    

    Level

    Excellent
    

    Research Field

    Chemistry » Biochemistry
    
    Additional Information Work Location(s)

    Number of offers available

    1
    

    Company/Institute

    Institute of Neuroscience, CNR
    

    Country

    Italy
    

    State/Province

    Milano
    

    City

    Rozzano
    

    Postal Code

    20089
    

    Street

    Via Rita Levi Montalcini 4
    
    Where to apply

    E-mail

    [email protected]

    Contact

    State/Province

    Milano

    City

    Rozzano

    Website

    https:// www. in.cnr.it/index.php/it/

    Postal Code

    20089

    E-Mail

    [email protected]

    Phone

    +390250317094

    STATUS: EXPIRED

    From this employer

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