Public notice of the opening of an scientific employment competition tender for the recruitment of a Research Fellowship scientist under a project financed by the European Commission under EU4Health Programme (EU4H), with the reference 101102733. JOB ADVE

7 Feb 2024
Job Information

Organisation/Company

Instituto Nacional de Saúde Dr. Ricardo Jorge

Department

DDI

Research Field

Other

Researcher Profile

Established Researcher (R3)

Country

Portugal

Application Deadline

22 Feb 2024 - 23:59 (Europe/Lisbon)

Type of Contract

Temporary

Job Status

Full-time

Hours Per Week

35

Offer Starting Date

7 Feb 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 National Institute of Health Dr. Ricardo Jorge (INSA), Department of Infectious Diseases, announces a competition for the award of a Post-Doctoral Fellowship - 1 vacancy - to candidates (M/F), under the “DURABLE Project - Delivering a Unified Research Alliance of Biomedical and public health Laboratories against Epidemics (Reference 101102733)”, promoted by the EU4Health Programme (EU4H), funded by the European Commission.

 

Requirements

Research Field

Other

Education Level

PhD or equivalent

Skills/Qualifications

Generic Scientific Area: Biological Sciences or Computational Biology

 

Specific Scientific Area: Bioinformatics / Computational Biology

 

Admission Requirements:

 

Applications meeting the following requirements will be considered:

• Ph.D. completed less than 3 years from the application deadline in Genetics, Biology, Bioinformatics, Computational Chemistry, Computer/Information Sciences, or related fields (mandatory);

Specific Requirements

Preferred Requirements:

 

a) Academic or professional experience in the field of bioinformatics and computational biology;

b) Experience in multiple sequence alignment and conservation studies, particularly using MAFFT and Jalview - Valdar method;

c) Experience in "Drugability" algorithms, namely DogSiteScore; PockDrug-Server, MOE-SiteFinder;

d) Experience in Data visualization;

e) Experience in mapping three-dimensional structures, namely PyMol and RCSB Protein Data Bank;

f) Experience in artificial Intelligence-based machine learning algorithms, particularly in Support Vector Machines (SVM);

g) Knowledge of molecular Docking and in silico screening of compounds;

h) Good knowledge in genomic sequencing analysis, at the gene and genome scale;

i) Proficiency in English (written and oral);

j) Strong sense of responsibility;

k) Interpersonal, communication, and teamwork skills;

l) Full and immediate availability.

Languages

ENGLISH

Level

Excellent

Additional Information
Benefits

 

Monthly maintenance subsidy amount: The monthly value of the fellowship will correspond to the candidate's degree, according to the current value of fellowships awarded by the “Fundação para a Ciência e Tecnologia” (https://www.fct.pt/wp-content/uploads/2023/02/Tabela-de-Valores-SMM_2023.pdf ). To this value, the Voluntary Social Security amount (1st stage) is added, with Accident Insurance being paid.

Eligibility criteria

Applications meeting the following requirements will be considered:

• Ph.D. completed less than 3 years from the application deadline in Genetics, Biology, Bioinformatics, Computational Chemistry, Computer/Information Sciences, or related fields (mandatory);

Selection process

Selection Methods:

 

Candidates who do not meet the previously mentioned criteria will be excluded. Candidates who do not submit a graduation certificate will also be excluded. The evaluation will focus on the assessment of academic background and professional experience in the areas mentioned above. The evaluation process will include two phases. In the first phase, the CV and the candidate's motivation will be evaluated. Subsequently, candidates who, in this first evaluation, achieve a score not lower than 12 points on a scale of 0 to 20 points will be called for a knowledge and skills assessment interview. The weighting for the final evaluation will be 50% for the curriculum evaluation and 50% for the interview. Candidates will be classified, and the candidate with the highest score will be accepted. In case of the first selected candidate's inability to accept the fellowship, the option will be the second-ranked candidate (and so on) according to the list ordered by the Jury of the recruitment process. However, the jury reserves the right to decide that none of the available candidates meets the minimum requirements to fill the vacant position, in which case a new recruitment process must be carried out.

Additional comments

Work Plan:

 

The project "DURABLE - Delivering a Unified Research Alliance of Biomedical and public health Laboratories against Epidemics" coordinates a global collaboration based on a network of laboratories and institutes for the diagnosis, research, preparation, and response to current and future health threats for the benefit of citizens in the EU and worldwide. Specifically, the DURABLE project will: i) develop and apply methods for identifying (new and known) threats to Public Health; ii) coordinate, integrate, analyze, and share the output for rapid and direct use in public health decision making; iii) develop studies to guide further evidence gathering in response to alerts

 

The activities of INSA in the DURABLE project cover various domains, from the diagnosis, characterization, and monitoring of pathogenic agents to training activities and preparation for responding to new emergencies.

 

The work plan for the fellowship will focus on:

 

i) Identification and/or evaluation of new targets for compounds with anti-viral activity, including the development, validation, and/or implementation of new approaches/tools for:

a. Conservation studies of viral proteins, particularly applied to (re)emerging viruses;

b. Characterization of crystallographic structures of proteins of interest from (re)emerging viruses;

c. Prediction of drugability and properties of antiviral drug targets, focusing on structural and non-structural proteins of interest from (re)emerging viruses;

d. In silico prediction of binding sites and interaction points of new drugs with potential antiviral targets from (re)emerging viruses;

e. In silico screening of promising antiviral compounds.

Work Location(s)

Number of offers available

1

Company/Institute

Instituto Nacional de Saúde Doutor Ricardo Jorge,IP

Country

Portugal

City

Lisboa

Postal Code

1649-016

Street

Avenida Padre Cruz

Geofield

Where to apply

E-mail

[email protected]

Contact

State/Province

Portugal

City

Lisboa

Website

http://www.insa.min-saude.pt

Street

Av. Padre Cruz

Postal Code

1649-016 Lisboa

E-Mail

[email protected]

Phone

+351217508185

STATUS: EXPIRED