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We are particularly interested for this role in the strengths and lived experiences of women and underrepresented groups to help us avoid perpetuating biases and oversights in science and IT research. In instances of equal merit, the incorporation of the under-represented sex will be favoured.
We promote Equity, Diversity and Inclusion, fostering an environment where each and every one of us is appreciated for who we are, regardless of our differences.
If you consider that you do not meet all the requirements, we encourage you to continue applying for the job offer. We value diversity of experiences and skills, and you could bring unique perspectives to our team.
The hired candidate will join our Comparative Genomics group and contribute to groundbreaking research at the intersection of artificial intelligence and genomics. The project will be centered on developing artificial intelligence based tools to predict relevant biological or clinical features from diverse genomics data, and exploring the application of recently developed large language models (LLMs) to study the evolution of biological sequences, microorganisms, and microbial communities.
The selected candidate should have a PhD or equivalent experience in a computational biology or bioinformatics area, or will have a strong expertise in artificial intelligence and large language models and a strong motivation to move into its application on biologically oriented research.
The candidate will join a dynamic research group within the Life Sciences department where will work in a sophisticated HPC environment and will have access to systems and computational infrastructures.
Priority will be given to highly motivated and proactive candidates with the ambition to develop their career in the field of computational genomics and biomedicine.
If you are excited about the potential of AI to revolutionize our understanding of life, we encourage you to apply!
The funding for these actions/fellowships and contracts comes from the European Union Recovery and Resilience Facility - Next Generation, within the framework of the General Invitation by the public business entity Red.es to participate in the talent attraction and retention programs within Investment 4 of Component 19 of the Recovery, Transformation, and Resilience Plan.
For more information, please check: https://www.bsc.es/join-us/excellence-career-opportunities/ai4s
"La financiación de estas actuaciones/becas y contratos, procede del Mecanismo de Recuperación y Resiliencia de la Unión Europea-Next Generation, en el marco de la Invitación General de la entidad pública empresarial Red.es para participar en los programas de atracción y retención del talento dentro de la Inversión 4 del Componente 19 del Plan de Recuperación, Transformación y Resiliencia.
Para más información: https://www.bsc.es/join-us/excellence-career-opportunities/ai4s
- Develop and apply advanced machine learning and artificial intelligence techniques to address complex challenges in comparative genomics and metagenomics.
- Contribute to the development of innovative diagnostic tools, functional annotation tools, and models of genome evolution and microbiome dynamics.
- Collaborate with a multidisciplinary team of scientists to design, implement, and evaluate computational approaches.
- Analyze and interpret large-scale genomic and metagenomic datasets to generate novel biological insights.
- Contribute to writing research projects and publish research findings.
- Education
- PhD in Biology, Computational Sciences, Data analyses or other related fields.
- Essential Knowledge and Professional Experience
- Proficiency in python, R, or equivalent programming languages.
- Experience with HPC environment.
- Expertise in machine learning, including deep learning and natural language processing.rred.
- A passion for scientific discovery and a collaborative spirit.
- Additional Knowledge and Professional Experience
- Strong foundation in Bioinformatics, genomics and metagenomics will be valued
- Fluency in English is essential. Proficiency in Spanish and other European languages would be advantageous.
- Competences
- Excellent problem-solving, analytical, and communication skills.
- Strong commitment to the project
- Ability to work both independently and within a team.
- Ability to work in a multi-cultural environment.
- The position will be located at BSC within the Life Sciences Department
- We offer a full-time contract (37.5h/week), a good working environment, a highly stimulating environment with state-of-the-art infrastructure, flexible working hours, extensive training plan, restaurant tickets, private health insurance
- Duration: 4 years
- Holidays: 23 paid vacation days plus 24th and 31st of December per our collective agreement
- Salary: 45.00,00€
- Additional Expenses Grant: Each fellowship will be associated with a grant for additional expenses, such as IT equipment, travel, training, stays, etc.
- Starting date: asap - the incorporation for this vacancy must be before the 16th of December 2024
All applications must be submitted via the BSC website and contain:
- A full CV in English, including contact details.
- A cover/motivation letter with a statement of interest in English, clearly specifying for which specific area and topics the applicant wishes to be considered. Additionally, two references for further contacts must be included. Applications without this document will not be considered.
Development of the recruitment process
The selection will be carried out through a competitive examination system ("Concurso-Oposición"). The recruitment process consists of two phases:
- Curriculum Analysis: Evaluation of previous experience and/or scientific history, degree, training, and other professional information relevant to the position. - 40 points
- Interview phase: The highest-rated candidates at the curriculum level will be invited to the interview phase, conducted by the corresponding department and Human Resources. In this phase, technical competencies, knowledge, skills, and professional experience related to the position, as well as the required personal competencies, will be evaluated. - 60 points. A minimum of 30 points out of 60 must be obtained to be eligible for the position.
The recruitment panel will be composed of at least three people, ensuring at least 25% representation of women.
In accordance with OTM-R principles, a gender-balanced recruitment panel is formed for each vacancy at the beginning of the process. After reviewing the content of the applications, the panel will begin the interviews, with at least one technical and one administrative interview. At a minimum, a personality questionnaire as well as a technical exercise will be conducted during the process.
The panel will make a final decision, and all individuals who participated in the interview phase will receive feedback with details on the acceptance or rejection of their profile.
At BSC, we seek continuous improvement in our recruitment processes. For any suggestions or comments/complaints about our recruitment processes, please contact recruitment [at] bsc [dot] es.
For more information, please follow this link.
Deadline
The vacancy will remain open until a suitable candidate has been hired. Applications will be regularly reviewed and potential candidates will be contacted.
OTM-R principles for selection processes
BSC-CNS is committed to the principles of the Code of Conduct for the Recruitment of Researchers of the European Commission and the Open, Transparent and Merit-based Recruitment principles (OTM-R). This is applied for any potential candidate in all our processes, for example by creating gender-balanced recruitment panels and recognizing career breaks etc. BSC-CNS is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or any other basis protected by applicable state or local law.
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This position is reserved for candidates who meet the requirements and have the legal status of disabled persons with a degree of disability equal to or greater than 33%. In case there are no applicants with disabilities that meet the requirements, the rest of the candidates without declared disability will be evaluated.