Job offer

European Commission; Portugal; Presencial; EUR 30 000 - 40 000; Tempo integral

Resumo da oferta

A INESC-ID de Lisboa oferece uma bolsa de pesquisa no projeto SYNTHESIS para candidatos com mestrado em Ciência de Dados ou Estatística Computacional. Os selecionados contribuirão para a integração de dados multi-ômicos visando a descoberta de medicamentos contra o câncer, em um ambiente de pesquisa internacional.

Qualificações

• Candidatos precisam ter mestrado em Ciência de Dados ou Estatística Computacional.
• Proficiência em Português e Inglês (escrita e fala).
• Experiência em análise bioinformática, incluindo genômica e transcriptômica.

Responsabilidades

• Desenvolver modelos estatísticos e de aprendizado de máquina para integrar dados multi-ômicos.
• Projetar fluxos de trabalho em bioinformática e processar dados moleculares.
• Trabalhar em um ambiente internacional colaborativo.

Conhecimentos

Bioinformática

Python

R

Estatística

Trabalho em equipe

Formação académica

Mestrado em Ciência de Dados ou Estatística Computacional

Descrição da oferta de emprego

Organisation/Company INESC ID Research Field Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Positions Master Positions Country Portugal Application Deadline 2 Jul 2025 - 23:59 (Europe/Lisbon) Type of Contract Not Applicable Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number BI|2025/722 - SYNTHESIS - refª LISBOA2030-FEDER-00868200 Is the Job related to staff position within a Research Infrastructure? No

Offer Description

Public notice for research grant Refª BI|2025/722

Project SYNTHESIS - Mosaic integration and synthetic generation of multi-omic

data for the discovery of precision cancer medicines – refª LISBOA2030-FEDER-00868200 (n.° 15030)

Application submission from 17 of June until 2 of July 2025

WHO WE ARE

INESC-ID’s research impact is focused on four Thematic Lines

Energy transition

Life and health technology

Security and privacy.

INESC-ID promotes cooperation between academia and industry by addressing research on daily life issues, such as healthcare, space, mobility, human language technologies, agri-food, industry 4.0, and smart grids. This high level of knowledge transfer is achieved through both competitive research projects and direct contracted research. Therefore, public and private entities have access to a pool of knowledge, resources and services provided through the unique competencies available at the institution.

INESC ID has a strong internationalacademicenvironmentand inclusive work environment.

ONE (1) research grant for students with MSc degree with reference number BI|2025/722 under the scope of the Project SYNTHESIS - Mosaic integration and synthetic generation of multi-omic data for the discovery of precision cancer medicines – refª LISBOA2030-FEDER-00868200, funded by operation nº 15030, Balcão dos Fundos, FEDER (Fundo Europeu de Desenvolvimento Regional) and FCT (Fundação para a Ciência e Tecnologia), is now available under the following conditions:

OBJECTIVES | FUNCTIONS

Despite remarkable progress in cancer precision medicine, drug resistance and low success rates underscore the urgent need for data-driven clinical trial designs. SYNTHESIS uses generative deep learning to integrate multi-omic data from pre- and clinical cancer databases, generating synthetic tumor profiles. This will aid the identification of druggable breast cancer subtypes and their molecular signatures, ultimately boosting clinical trials.

This position involves developing statistical and machine learning approaches for the integration of cancer multi-omics data and the analysis of CRISPR-based screens. Responsibilities include designing bioinformatics workflows, processing molecular data, training models, and working in a collaborative international environment.

BINDING LEGISLATION

Law 40/2004 of 18th of August (Scientific Research Fellow Status) in its current wording.

Regulations for Research Grants of the Foundation for Science and Technology in force

INESC-ID Lisboa Grant Regulations in force

The fellowship contract is awarded on an exclusive dedication basis – art. 5 of Scientific Research Fellow Status and art. 16 of Regulations for Research Grants of the Foundation for Science and Technology.

DURATION

THREE (3) months, starting in July 2025, renewable subject to suitable performance within the period of the project, not exceeding the maximum period set by FCT for such grants.

RENEWALL

Renewable is subject to performance if the candidate is enrolled in a

subject to suitable performance within the period of the project, not exceeding the maximum period set by FCT for such grants – 4 years (included contract renewals)

Renewable is subject to performance if the candidate is enrolled in a

subject to suitable performance within the period of the project, not exceeding the maximum period set by FCT for such grants – 1 year (included contract renewals)

MONTHLY AMOUNT

The monthly amount of the grant is 1 309,64 €according to the “Regulations for Research Grants of the Foundation for Science and Technology” in force.

The payment will be made through a monthly bank transfer to a portuguese bank account, held by the grantee.

The activity will be supervised by Emanuel Gonçalves, Assistant Professor at Instituto Superior Técnico and Researcher at INESC ID.

WORKPLACE

ELIGIBILITY CONDITIONS

Any national, foreign and stateless candidate(s) holding a MSc degree in Data Science or Computational Statistics and with a suitable scientific and professional curriculum may apply.

The applicants are required to have proficiency in Portuguese and English, both written and spoken, as well as being enthusiastic, proactive, collaborative and able to work individually and as a team.

Preferential factors:

Preference will be given to candidates with suitable scientific and professional curriculum such as:

• Experience in Bioinformatics analysis, e.g., genomics and transcriptomics. Biotechnology background, understanding of fundamental molecular basics and genetic engineering. Python and R experience.

EVALUATION CRITERIA

The selection will be based on the following criteria:

The evaluation panel assigns a classification to each of the candidates on a scale of 0 to 100 points, ranking the candidates according to their classification consisting on the sum of the partial classifications assigned in each evaluation criterion, and considering the weighting factor given to each parameter. In this process abstentions are not allowed.

In the event of a tie among candidates with the same highest evaluation score, the Evaluation Panel reserves the right to conduct interviews to have a more objective assessment of specific criteria.

If an interview is conducted, the punctuation proposed by each member of the evaluation panel is obtained by assigning a weighting factor of 80% to the CV, and a weighting factor of 20% to the interview.

Additionally, the evaluation panel retains the discretion to withhold the scholarship if the candidates fail to fulfil the stipulated requirements.

The evaluation panel may also decide not to assign the scholarship, if none of candidates meets the required conditions.

If the requirements mentioned above are not fulfilled, the evaluation panel may choose not to select a candidate.

Candidates with an average score below 70, are not recommended for hiring

Minutes of the evaluation panel meeting are drawn up with a summary of what has taken place in the meeting, as well as the votes emitted by the jury, being available to the candidates whenever requested.

EVALUATION PANEL

Jury

Name

Professional Status

Institutions

President

Researcher / AssistantProfessor

INESC ID - Tecnico, ULisboa

Member

Researcher / Full Professor

INESC ID - Tecnico, ULisboa

Member

Researcher / Full Professor

INESC ID - Tecnico, ULisboa

Substitute member

Researcher / Associate Professor

INESC ID - Tecnico, ULisboa

Substitute member

Researcher / Associate Professor

INESC ID - Tecnico, ULisboa

APPLICATION

The application and supporting documents must be submitted via email to bolsas @inesc-id.pt .

The application email should clearly state the reference of the grant on the subject.

Applications without the reference of the grant will not be considered

The candidate should clearly state his / her consent so that the communications and notifications in the context of this call can take place to the electronic address [e-mail] .

The application and supporting documents may be submitted in Portuguese or English, although the President of the evaluation panel when a member of the evaluation panel is a non-native Portuguese speaker, may request that, within a reasonable time, the candidate translates into English a document previously presented in Portuguese.

Candidates who submit their application incorrectly or who do not prove the requirements required in this public notice are excluded from admission. In case of doubt, the evaluation panel may demand any candidate to present documents proving those statements.

False statements by the candidates will be punished according to the law.

SUPPORTING DOCUMENTS

The supporting documents listed below must be presented in pdf form.

Applications without the requested documents may not be considered

Supporting documents presented in another format will not be considered by the evaluation panel.

Addressed to the Evaluation Panel, including full name, and contact address, including email address and telephone.;

• Detailed curriculum vitae;
• Single copy of official academic degree certificate required in the ELIGIBILITY CONDITIONS
• In the application submission, the candidates may replace the copy of official academic degree certificate by a declaration of honour, stating that they have the required academic degree.

It is mandatory for the approval of the fellowship contract that the selected candidate presents a single copy of the official academic degree certificate, required in education level.

In the application submission, the candidates from foreign education institutions may replace the copy of the official academic degree certificate by declaration of honour, stating that they have the required academic degree.

It is mandatory for the approval of the fellowship contract that the selected candidate presents a single copy of the official diploma required in education level.

• Detailed list of grades
• Proof of enrolment required in the ELIGIBILITY CONDITIONS at grant starting date;

In the application submission, the candidates may replace the proof of enrolment by a declaration of honour, stating that they are/will be enrolled in the program required ELIGIBILITY CONDITIONS

It is mandatory for the approval of the fellowship, that the selected candidate present the official proof of enrollment required in the ELIGIBILITY CONDITIONS .

NOTIFICATION, PRIOR HEARING, COMPLAIN AND APPEAL DEADLINES

The admitted and excluded candidates will be notified by email of the final ranking list.

After being notified, all candidates have 10 working days to submit a formal rebuttal. After that period, the evaluation panel notifies the candidates of the final report.

Excluded candidates may complain about the evaluation panel final report for 15 working days after notification or appeal to the evaluation panel decision to the INESC ID Board of Directors for 30 working days, after notification.

Non-discrimination and equal access policy

INESC-ID actively promotes a policy of non-discrimination and equal access, so that no candidate can be privileged, benefited, disadvantaged or deprived of any right or exemption from any duty owing, in particular, to ancestry, age, sex, sexual orientation, marital status, family status, economic situation, education, social origin or condition, genetic heritage, reduced working capacity, disability, chronic illness, nationality, ethnic origin or race, territory of origin, language, religion, political or ideological beliefs and trade union membership.

Under the terms of D.L. No. 29/2001, of February 3, a disabled candidate has a preference when in equal classification, which prevails over any other legal preference. Candidates must declare on the application form their respective degree of disability, the type of disability and the means of communication / expression to be used in the selection process, under the terms of the aforementioned diploma.

Where to apply

E-mail [e-mail]

Requirements

Research Field Engineering » Computer engineering Education Level Master Degree or equivalent

Skills/Qualifications

ONE (1) research grant for students with MSc degree with reference number BI|2025/722 under the scope of the Project SYNTHESIS - Mosaic integration and synthetic generation of multi-omic data for the discovery of precision cancer medicines – refª LISBOA2030-FEDER-00868200, funded by operation nº 15030, Balcão dos Fundos, FEDER (Fundo Europeu de Desenvolvimento Regional) and FCT (Fundação para a Ciência e Tecnologia), is now available under the following conditions:

OBJECTIVES | FUNCTIONS

Despite remarkable progress in cancer precision medicine, drug resistance and low success rates underscore the urgent need for data-driven clinical trial designs. SYNTHESIS uses generative deep learning to integrate multi-omic data from pre- and clinical cancer databases, generating synthetic tumor profiles. This will aid the identification of druggable breast cancer subtypes and their molecular signatures, ultimately boosting clinical trials.

This position involves developing statistical and machine learning approaches for the integration of cancer multi-omics data and the analysis of CRISPR-based screens. Responsibilities include designing bioinformatics workflows, processing molecular data, training models, and working in a collaborative international environment.

Specific Requirements

Any national, foreign and stateless candidate(s) holding a MSc degree in Data Science or Computational Statistics and with a suitable scientific and professional curriculum may apply.

The applicants are required to have proficiency in Portuguese and English, both written and spoken, as well as being enthusiastic, proactive, collaborative and able to work individually and as a team.

Preferential factors:

Preference will be given to candidates with suitable scientific and professional curriculum such as:

• Experience in Bioinformatics analysis, e.g., genomics and transcriptomics. Biotechnology background, understanding of fundamental molecular basics and genetic engineering. Python and R experience.

Additional Information

The monthly amount of the grant is 1 309,64 €according to the “Regulations for Research Grants of the Foundation for Science and Technology” in force.

The payment will be made through a monthly bank transfer to a portuguese bank account, held by the grantee.

Any national, foreign and stateless candidate(s) holding a MSc degree in Data Science or Computational Statistics and with a suitable scientific and professional curriculum may apply.

The applicants are required to have proficiency in Portuguese and English, both written and spoken, as well as being enthusiastic, proactive, collaborative and able to work individually and as a team.

Preferential factors:

Preference will be given to candidates with suitable scientific and professional curriculum such as:

• Experience in Bioinformatics analysis, e.g., genomics and transcriptomics. Biotechnology background, understanding of fundamental molecular basics and genetic engineering. Python and R experience.

Selection process

The selection will be based on the following criteria:

The evaluation panel assigns a classification to each of the candidates on a scale of 0 to 100 points, ranking the candidates according to their classification consisting on the sum of the partial classifications assigned in each evaluation criterion, and considering the weighting factor given to each parameter. In this process abstentions are not allowed.

In the event of a tie among candidates with the same highest evaluation score, the Evaluation Panel reserves the right to conduct interviews to have a more objective assessment of specific criteria.

If an interview is conducted, the punctuation proposed by each member of the evaluation panel is obtained by assigning a weighting factor of 80% to the CV, and a weighting factor of 20% to the interview.

Additionally, the evaluation panel retains the discretion to withhold the scholarship if the candidates fail to fulfil the stipulated requirements.

The evaluation panel may also decide not to assign the scholarship, if none of candidates meets the required conditions.

If the requirements mentioned above are not fulfilled, the evaluation panel may choose not to select a candidate.

Candidates with an average score below 70, are not recommended for hiring

Additional comments

The application and supporting documents must be submitted via email to bolsas @inesc-id.pt .

The application email should clearly state the reference of the grant on the subject.

Applications without the reference of the grant will not be considered

The candidate should clearly state his / her consent so that the communications and notifications in the context of this call can take place to the electronic address [e-mail] .