OPENING OF INTERNATIONAL TENDER PROCEDURE FOR HIRING A COORDINATOR OF THE
ADVANCED DATA ANALYSIS, WITHIN THE FRAMEWORK OF THE SCIENTIFIC EMPLOYMENTSTIMULUS - INSTITUCIONAL CALL - 2nd EDITION
1. Within the powers delegated by the Board of Trustees of the Calouste Gulbenkian
Foundation, the Trustee in charge of the Department of the Instituto Gulbenkian de Ciênciaauthorized opening of an international Tender for the position of Coordinator of the Advanced
Data Analysis Unit to carry out scientific research activities at the Instituto Gulbenkian de Ciência(IGC) facilities, in Oeiras, Portugal, under an indefinite duration employment contract, with aview to filling a vacancy within the scope of the Scientific Employment Stimulus - Institutional
Call - 2nd Edition, financed by Fundação para a Ciência e Tecnologia.
The successful candidate will establish and coordinate a new unit within the IGC, the Advanced
Data Analysis (ADA) unit. The ADA unit will assemble a team of data analysts to provide technicalexpertise and data analysis services to IGC researchers. The unit will be organized into subunits
according to the nature of the services provided. The unit coordinator is expected to attract,lead, and mentor the heads of these subunits (eg, image analysis, statistics, machine learning,and bioinformatics), so that they train and lead teams of experts in their field.
The range of services and expertise provided by the unit will include (but are not limited to):- Statistical analysis of experimental data, including regression analysis (generalized linearmodels, hierarchical models, mixed effects models, etc.), survival analysis, time series analysis
and machine learning models;- Expertise in experimental design, including statistical power analysis, sample size
determination and development of analysis plans;- Bioinformatics analysis of genomic and transcriptomic data, including differential gene
expression, association analyses and single-cell expression analysis;- Design and development of mathematical models and computer simulations to better
understand and explore scientific hypotheses.
- Design and development of custom inference tools- Advanced image analysis, including the use of AI technology and image quantitation;
In addition, the unit will also be responsible for training researchers in best practices for researchdata management, including on the use of the IGC electronic laboratory notebook, data
traceability, analysis reproducibility, and FAIR principles.
Scientific Area: Quantitative biology.
2.
Applicable legislation: Labour Code, approved Law 7/2009 of February 12th with thechanges introduced by Law 93/2019 of September 4th and complementary legislation.
3. The tender selection panel will be as follows: President: Dr. Caren Norden; Members: Dr.
Pablo Sartori and Dr. Ricardo Henriques; Substitute Member: Dr. Isabel Gordo.

Financed by:4. The place of work is located at the Instituto Gulbenkian de Ciência, at Rua da Quinta Grandenº6, Oeiras, Portugal.
5.

The employment contract will be for an indefinite duration employment contract.

6.

Monthly remuneration to be paid is 3.766,00 euros on an exclusive dedication.

7. Applicants to this Tender can be national, foreign, and stateless candidates who hold adoctoral degree in biology or similar and have a scientific and professional curriculum evidencing
an adequate profile for the activity to be carried out. If the doctorate degree was granted by aforeign higher education institution, it must comply with the provisions of Decree-Law no.
66/2018, of August 16 and of the Regulatory Ordinance No. 33/2019, of January 25, and allformalities established therein must be complied with until the fate of signing the contract. In
case the doctorate degree of the selected candidate does not comply with the Decree-Law
above mentioned including all its formalities, the Selection Panel reserves the right to select thenext best candidate.
8.

General tender admission requirements:

We are looking for a candidate with extensive experience in computational biology including
mathematical modelling, statistics, and bioinformatics, and a broad view of research inquantitative biology. The selected candidate will coordinate a team of data analysts at the newly
established advanced data analysis unit at the IGC.
The selected candidate should have:- A strong background in quantitative methods, including statistics, machine learning andmathematical modelling;- Research experience in the aforementioned areas;- Experience in data management best practices;- Demonstrable strong leadership skills and experience of leading teams;- Teaching and mentoring experience;- Previous international experience is critical;- A strong publication record in these areas.
Candidates must be PhD holders with more than 10 years of experience.
Subject of activity- Project to be developed by the selected candidate and area of work:
The selected candidate will establish and coordinate a new unit at the IGC, the advanced data
analysis unit (ADA). The ADA will gather a team of data analysts to provide technical expertiseand services in data analysis to the researchers at IGC. The unit will be organised into subunits
according to the nature of the services provided. The unit coordinator is expected to attract,lead, and mentor heads of these subunits (e.g. image analysis, statistics and machine learning,and Bioinformatics) and also to train team members of the unit to become subject matter
experts.
9. Evaluation criteria: applications will be evaluated according to the Curriculum vitae (35%)
and the motivation letter (30%). If deemed necessary by the selection panel, the interview ofthe selected candidates will represent 35% of the final classification. The final results will bepresented on a scale from 0 to 100. The decision is made by nominal vote, in accordance witheligibility and selection criteria, with no abstentions allowed.

Financed by:10. The decision is made by nominal vote of the selection panel members, in accordance witheligibility and selection criteria, with no abstentions allowed. The final results will be presented
on a scale from 0 to 100.
11. Minutes of the panel meeting should be drawn up to include a summary of all occurrencesof said meeting, as well as all votes cast by the members with the respective justification
together with a sorted list of approved candidates with their respective classification. These
minutes should be made available to candidates whenever requested.
12. The final decision of the jury is approved by the member of the Board of Trustees mandated
for this purpose, who is also responsible for deciding on the hiring.
13. Application formalization:
13.1. Applications are addressed to the Director of the Instituto Gulbenkian de Ciência, andmust be formalized to the email address igcpositions@igc.gulbenkian.pt, containing theidentification of this tender, full name, number and date of the identity card, Citizen Card or civil
identification number, tax identification number, date and place of birth, residency address
including e-mail address and telephone number.
13.2. The Applications shall include all documents providing evidence for the conditions laid
down in sections 7 and 8 for admission to this call (single pdf file named “Candidate’s name_CEEC Inst_ ADA”), namely:a) Introduction letter explaining the motivation to develop the project and including asummary of relevant experience;b) Copy of certificate or doctoral diploma referring the relevant conclusion date;c) CV that includes the contacts of three references (name, position, mailing address,
phone number and email address);d) List of up to 3 most relevant publications and reasons for selecting them;e) Other documents relevant to assess the application and the capacity in the relatedscientific area.
All candidates (taxpayers in Portugal) are required to present evidence of fulfilment of theirindividual obligations towards the Portuguese Tax Authority and Social Security. Failure tocomply with this requirement will be considered as a reason for exclusion from the selection
process.
13.3. The period for submitting the applications to this Tender, is between 06/04/2023 and20/04/2023.
14. All applicants who fail to submit their application correctly or who fail to provide therequirements imposed by this Tender within the dates indicated or who do not meet the legal
requirements necessary to be hired under a term employment contract herein are excluded
from admission. In case of doubt, the panel is entitled to request further documentation to
support candidate statements.
15. False statements by the applicants shall be punished by the law.
16. The list of admitted and excluded applicants, as well as the final classification list, will be
published on the Instituto Gulbenkian de Ciência internet site at https://gulbenkian.pt/ciencia/.
The Applicants will be notified by e-mail with receipt of delivery of the notification.
Financed by:17. Deadline for Final Decision and Claims: within a maximum period of 90 days, counting fromthe deadline for the submission of the applications, the final decision of the selection panel shallbe announced. After being notified of the panel's decision, applicants shall have 10 working days
to issue an opinion.
18. This tender is intended exclusively to fill this specific vacancy and can be terminated at any
time until the approval of the final candidate list, expiring with the respective occupation of saidvacancy.
19. The hiring decision may, by duly substantiated act of the member of the Board of Trustees
mandated for this purpose, be revoked for reasons of strategic management, determined by thereorganization of the organic unit in question or by unforeseeable supervening circumstancesat the date of approval of the list of final ranking of candidates, relating to the assumptions ofthe decision to hire and based on reasons of manifest public and institutional interest that justifyit.
20. On-discrimination and Equal Access Policy:
The Instituto Gulbenkian de Ciência of the Calouste Gulbenkian Foundation actively promotes a
non-discrimination and equal access policy, so that no candidate can be privileged, benefited,
harmed or deprived of any right or exempt from any duty on grounds, in particular, of ancestry,age, sex, sexual orientation, marital status, family and economic conditions, education, origin orsocial condition, genetic heritage, reduced work capacity, disability, chronic illness, nationality,ethnic origin or race, origin territory, language, religion, political or ideological beliefs and tradeunion membership.
21. Privacy Policy:
The Calouste Gulbenkian Foundation is the controller responsible for the processing of Personal
Data in accordance with Regulation (EU) 2016/679 (General Regulation on Data Protection).
The personal data processed within the scope of this tender procedure are processed within theframework of said tender procedure only and will be processed by the Calouste Gulbenkian
Foundation with the purpose of verifying the fulfilment, by the applicants, of the assumptions
established in the applicable legislation for their contracting. Opposition to the processing of thedata by the applicants will make it impossible to accept the application and, therefore, to analyseand evaluate it.
The personal data of the Data Subject, if indispensable for the fulfilment of the obligations of
the Calouste Gulbenkian Foundation, may be disclosed to third parties, namely the Funding
Entities identified in this public notice.
The personal data shall be retained for a period of five years pursuant to Article 32 (1) of theLabour Code.
The Data Subject is entitled to oppose to the collection and processing of data, has the right toverification, the right to rectification, the right to deletion, and the right to restriction ofprocessing of the data collected. However, the exercise of such rights may be excluded when
the personal data is used to protect public interest, namely in the detection and prevention ofcrimes or when subject to professional rules of confidentiality.
Financed by:

The Data Subject has the right of access and portability of the data.
The exercise of the aforementioned rights must be made in writing and addressed to the Privacy
Committee of the Calouste Gulbenkian Foundation, by email to privacy@gulbenkian.pt or,alternatively, through the postal address at Avenida de Berna 45-A, 1067-001 Lisbon.
The applicant also has the right to submit a complaint to the National Data Protection
Commission or other competent control authority in accordance with the law if he/she considers
that the data are not being processed in accordance with the European and/or national
legislation applicable.
22. Pursuant to D.L. No. 29/2001, of February 3, disabled applicants have preference in an
equal classification situation, which supersedes any legal preference. Applicants must state,when applying, under oath, the respective degree of disability, the type of disability and themeans of communication to be used in the selection process, under the terms of theaforementioned diploma.

Financed by: