Research Assistant_NCD Lab

Champalimaud Foundation (Fundação D. Anna de Sommer Champalimaud e Dr. Carlos Montez Champalimaud), a private, non-profit research institution in Lisbon, Portugal, is looking for a Research Assistant to join our team at the Champalimaud Research Programme.
The selected candidate will
As part of an externally funded project, we’re looking for a candidate that will assist postdocs and Ph D students with data analysis. The research assistant will be involved in tasks such as:

• Data analysis;
• Code writing for data analysis of calcium imaging and behavioral data;
• Developing, testing, and implementing scientific software, i.e., reproducible analysis pipelines and data storage for open science;
• Writing supporting materials and documentation for code and data dissemination.

Research Fields
Biological sciences, Engineering, Mathematics, Computer science, Data science or Neurosciences
Application start date
September 3rd, 2024
Application closing date
Position open until filled
Expected position starting date
As soon as a candidate is selected
Required Education Level
Bachelor’s Degree
Skills/Qualifications
Minimum qualifications
The candidate must have a bachelor’s degree in Biomedical Engineering, Data Science, Neuroscience, or similar areas.
Specific Requirements
Essential skills

• Solid programming skills, preferably in Python and Matlab;
• Experience with Python libraries (e.g., Num Py, Sci Py, Matplotlib, and pandas);
• Background in data science and statistics with preferred research experience with statistical analysis on a large volume of data;
• Interest in systems neuroscience;
• Strong organizational skills and ability to work independently;
• Team spirit, reliability, and sense of responsibility;
• Demonstrates potential for technical proficiency, creativity, collaboration with others, and independent thought;
• Fluency in scientific English is indispensable, both in written and oral expression.

Desirable skills that will also be considered

• Practical research experience in Neuroscience.
• FELASA course to work with laboratory animals;
• Experience with in vivo calcium imaging data analysis (e.g., CNMFE)
• Experience in behavioral experiments and surgeries in mice (e.g., stereotaxic injections in mice).

Benefits
Full immersion into a research excellence ecosystem with highly motivated researchers, supported by state-of-the-art technology and continuous development opportunities.
Monthly salary in the range of 1500€ plus social security insurance (Portuguese seguro social voluntário, SSV). The fellowship duration is 6 months, never surpassing the termination date of the project, expected at 14/03/2025.
Eligibility criteria
National or Foreign candidates who hold a Master’s degree in Data Science Areas, Engineering, Mathematics, Neuroscience, Computer Science or other related scientific areas and a scientific and professional curriculum that reveals a profile appropriate to the activity to be developed.
Selection process
Candidates will be screened to determine eligibility based on minimum qualifications listed in call. Candidates meeting minimum requirements will be scored according to the required application materials: CV 70% weighting, motivation letter 20%, interview 10% (in case of a tie).
If provided, and if shortlisted, candidates’ referees may be contacted and may count towards evaluation.
When tied, top candidates will be interviewed (in person, or remotely). The result of the interview is then the sole evaluation criteria (basic documentation required). If no tie, holding of interviews at the discretion of the Evaluation Committee.
Evaluation Committee members
Filipa França de Barros
Joaquim Alves da Silva
Marcelo Mendonça
Application materials
CV and letter of motivation indicating 2 references (one single pdf document).
Proof of qualifications (certificates) may be required at a later date for the formalization of the fellowship contract agreement. Degrees obtained abroad may need to be formally recognised in Portugal.
How to apply
Candidates must complete the standard application form and submit a single annexed PDF document containing the application materials stated in the call.
The call reference will be asked and not having it may invalidate your submission. This call reference is: "RA_NCDLab Sep2024"
Applications are also accepted in paper, sent or handed to the Fellows Support Office at the Champalimaud Centre for the Unknown, Avenida Brasília, 1400-038 Lisbon, Portugal.
Notification of results
All candidates will receive a receipt of acknowledgment within 7-10 business days. The highest scoring candidate will be notified by email or telephone. All other candidates will be notified solely by email of the outcome of the recruitment process.
After being notified, candidates will have 10 working days to present a claim for redress by email (careers@research.fchampalimaud.org). If no claim is received by the Champalimaud Foundation, the Evaluation Committee's decision will become definitive.
About Us
Research is at the heart of the Champalimaud Centre for the Unknown, a modern research and clinical facility situated on the waterfront in Lisbon, Portugal. The goal of Champalimaud Research (CR) is to perform world-leading fundamental and translational research. Current research work is focused on the fields of neuroscience, physiology and cancer. Champalimaud Research comprises a team of over 400 scientists from around the world. English is the official language of the Centre. Lisbon’s sunny Atlantic Mediterranean climate, vibrant culture and high quality of life make this a great place to live and work.
Relevant Institutional Information
In line with our community guidelines and Equality, Diversity and Inclusion policy and Gender Equality Plan, no candidate may be privileged, favored, prejudiced or deprived of any right or excluded from any duty on the basis of age, sex, gender identity, sexual orientation, race/ethnicity, disability, chronic illness, language, nationality, territory of origin, family status (marital, pregnancy and maternity, having or not having dependents), socioeconomic situation, education, religion, political or ideological beliefs, trade union membership, or on any other grounds which are irrelevant to decision-making.
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