Gulbenkian Institute for Molecular Medicine

Post-doc

GIMM is recruting a Computational / Data Scientist, ref. GIMM/CT/19-2025

접수중2025.04.03~2025.05.16

채용 정보

  • 접수 기간

    2025.04.03 00:00~2025.05.16 23:59

  • 접수 방법

    이메일지원더보기

  • 채용 구분

    경력

  • 고용 형태

    계약직

  • 지원 자격

    박사

  • 모집 전공

    제어계측공학, 정보・통신공학, 전자공학, 전산학・컴퓨터공학, 전기공학, 의공학, 응용소프트웨어공학, 광학공학더보기

  • 기관 유형

    연구기관

  • 근무 지역

    해외(포르투갈)더보기

The GIMM – Gulbenkian Institute for Molecular Medicine is a pioneering Portuguese private research foundation with an ambitious vision for fundamental scientific exploration and its profound impact on global health and well-being. Founded in 2023, GIMM is the result of the merge of two leading research institutes: Instituto de Medicina Molecular João Lobo Antunes (iMM) and Instituto Gulbenkian de Ciência (IGC) and dedicates to unraveling the fundamental mysteries of life and aims to be at the forefront of transdisciplinary research. 

GIMM opens a call to hire a Computational / Data Scientist with PhD correspondent to the initial level under the terms of the applicable regulation, under an Unfixed-Term Employment Contract within the project IMM-Care- Boosting Clinical Research for the Benefit of Society” - HORIZON-WIDERA-2022- ACCESS-01-01-two-stage, funded by European Commission and co-funded by the Portuguese government. The Researcher will join our recently established Microbiome in Health and Disease Translational Laboratory coordinated by Ana Santos Almeida at GIMM-CARE. 

GIMM-CARE is the brand new clinical and translational branch of GIMM – the Gulbenkian Institute for Molecular Medicine in Lisbon, Portugal. CARE aims to profoundly transform how clinical and translational research is conceptualized and implemented to deliver effective solutions to the most pressing health needs. Pioneering in Portugal, CARE is building a mission-driven, human-centred and data-driven research and innovation model, based on the involvement of all sectors and stakeholders – including citizens, patients, health professionals, researchers, businesspeople, industry, health authorities and government – in interdisciplinary, cross-sectoral collaborations to solve health challenges.


Regulation

  • Decree-Law nr 57/2016, from 29th August, altered by Law nr 57/2017, from 19th July, that approves a Doctoral Hiring regime to stimulate Scientific and Technological Employment in all knowledge areas (RJEC).
  • Portuguese Labor Law, approved by Law nr 7/2009, from 12th February in its current writing.   
  • Regulatory Decree Nr 11-A / 2017, of 29th December.
  • Decree-Law nr 1/2025, of 16th January.


Work Plan Activities: We are looking for a highly motivated computational or data scientist to join our team and lead a large-scale longitudinal study aimed at identifying and validating microbiome biomarkers for early diagnosis and outcomes of colorectal cancer (CRC). As part of this project, you will be responsible for developing a microbiome-based artificial intelligence platform for diagnosis and response to cancer therapy. This will involve integrating microbiome data with clinical and lifestyle - diet, stress, sleep and physical exercise - information. To be successful in this role, you should have experience with microbiome metagenomics and metabolomics pipelines and analysis, as well as data integration from clinical data, lifestyle factors, and blood genomic biomarkers. You will need to be comfortable working with large datasets, complex database integration, as well as be proficient in statistical analysis. In addition to your technical responsibilities, you will also be expected to actively contribute to the intellectual environment of the lab and the institute. This includes preparing and presenting scientific progress in seminars, conferences, and peer-reviewed publications. If you are passionate about using your expertise to make a real difference in the fight against CRC, we encourage you to apply.

근무 예정지

대표Gulbenkian Institute for Molecular Medicine(해외) : Rua da Quinta Grande 6, 2780-156 Oeiras

해외(포르투갈) : Portugal, Gulbenkian Institute for Molecular Medicine, Lisbon, 1649-028, Lisbon, Av. Professor Egas Moniz, Edifício Egas Moniz

관련 키워드

Computer science

기관 정보

Gulbenkian Institute for Molecular Medicine

  • 기관유형

    연구기관

  • 대표전화

    +351 214 407 900

  • 대표주소

    Rua da Quinta Grande 6, 2780-156 Oeiras

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