Ofertas de empleo de Científico/a de Datos en Barcelona

• Flexibilidad horariaSí
• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada13 abr.

Teletrabajo . Excel Office

At Bending Spoons, we’re striving to build one of the all-time great companies. A company that serves a huge number of customers. A company where team members grow to their full potential. A company that functions at unparalleled levels of effectiveness and efficiency. A company that creates value for shareowners at an extraordinary rate. And a company that does so while adhering to high ethical standards.

In pursuit of this objective, we acquire and improve digital businesses, not to sell on, but to own and operate for the long term. The transformations we make are often deep—designed to speed up innovation, benefit customers, and strengthen business performance. Here, hierarchy is minimal and teams are small and talent-dense. We operate established products with the ambition, agility, and urgency of a startup. Across the company, we integrate AI deeply into how we work so that human judgment and machine intelligence reinforce each other.

For a talented, driven, and collaborative individual, working at Bending Spoons is an opportunity to learn, make an impact, and progress their career at an exceptionally high rate. That’s our promise to such a candidate.

A few examples of your responsibilities

• Design and improve data pipelines. Contribute to the design and evolution of data systems—ensuring data is accurate, reliable, and efficiently processed across diverse tech stacks.
• Ensure data correctness and scalability. Work closely with software engineers to validate data, define metrics, and improve the robustness of reporting and analytics systems.
• Develop internal data products and tooling. Help build scalable solutions (e.g., reporting engines, forecasting tools) used by product teams across the company.
• Support platform-wide decision-making. Partner with multiple teams to provide the analytical and modeling backbone for business planning and performance tracking.
• Leverage AI to accelerate work and uncover insights. Use AI tools to move faster, surface ideas and opportunities, and study competing products and trends.
  
  

What we look for

• Reasoning ability. Given the necessary knowledge, you can solve complex problems. You think from first principles, and structure your ideas sharply. You resist the influence of biases. You identify and take care of the details that matter.
• Drive. You’re extremely ambitious in everything you do—and your initiative, effort, and tenacity match the intensity of your ambition. You feel deeply responsible for your work. You hold yourself to a high—and rising—bar.
• Team spirit. You give generously and without the expectation of receiving in return. You support the best idea, not your idea. You're always happy to get your hands dirty to help your team. You’re reliable, honest, and transparent.
• Proficiency in English. You read, write, and speak proficiently in English.
  
  

What we offer

• Incredibly talented, entrepreneurial teams. You’ll work in small, result-oriented, autonomous teams alongside some of the brightest people in your field.
• An exceptional opportunity for growth. We go to great lengths to hire individuals of outstanding potential—then, our priority is to put them in the ideal position to thrive. Spooners in their 20s lead products worth hundreds of millions of dollars. And if you’ve got what it takes, you’ll soon be playing an essential role in major projects, too.
• Competitive pay and access to equity in the company. Typically, we offer individuals at the start of their career an annual salary of £85,797 in London and €66,065 elsewhere in Europe. For a candidate that we assess as possessing considerable relevant experience, the salary on offer tends to be between £112,189 and £250,512 in London, and €107,837 and €188,848 elsewhere in Europe. Compensation varies by location and expected impact, and grows rapidly as you gain experience and translate it into greater contributions. For individuals who demonstrate exceptional capability, we may offer compensation that extends beyond the usual ranges to reflect their higher expected impact. If you're offered a permanent contract, you'll also be able receive some of your pay in company equity at a discounted price, thus participating in the value creation we achieve together. If relocating to Italy, you may enjoy a 50% tax cut.
• All. These. Benefits. Flexible hours, remote working, unlimited backing for learning and training, top-of-the-market health insurance, a rich relocation package, generous parental support, and a yearly retreat to a stunning location. We help each Spooner set up the conditions to do their best work.
  
  

Commitment & contract
Permanent or fixed-term. Full-time or part-time.

Location
Milan (Italy), London (UK), Madrid (Spain), Warsaw (Poland) or remote in selected countries.

The selection process
In our screening process, we prioritize verifiable signals of excellence, regardless of seniority. Some people hold back because they feel they lack experience or have an “imperfect” CV. If you like the role and believe you could excel over time, don’t self-reject.

If you pass our screening, you’ll be asked to complete one or more tests. They are challenging, may involve unfamiliar problems, and can take several hours.

We set the bar high and won’t extend an offer until we’re confident we’ve found the right candidate. This is why a job may remain open for months or be reposted several times.

We consider all applicants for employment and provide reasonable accommodations for individuals with disabilities—please let us know through this form.

Before you apply
If you’ve applied before but didn't receive an offer, we recommend waiting at least one year before applying again.

Bending Spoons is a demanding environment. We’re extremely ambitious and we hold ourselves—and one another—to a high standard. While this tends to lead to extraordinary learning, achievement, and career growth, it also requires significant commitment.

To help you ramp up quickly and set yourself up for success, we recommend spending your first few months working from our Milan office, regardless of your long-term work location. It’s the best way to rapidly absorb our company culture and build trust with your new teammates. We’ll support you with generous travel and accommodation assistance. After that, you’re welcome to work from our offices in Milan or London, or remotely from approved countries—depending on what we agree at the offer stage.

If the role speaks to you and you’re excited to give your best, we’d love to hear from you. Apply now—we can’t wait to meet you.

• Flexibilidad horariaSí
• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada11 abr.

Teletrabajo . Excel Office

At Bending Spoons, we’re striving to build one of the all-time great companies. A company that serves a huge number of customers. A company where team members grow to their full potential. A company that functions at unparalleled levels of effectiveness and efficiency. A company that creates value for shareowners at an extraordinary rate. And a company that does so while adhering to high ethical standards.

In pursuit of this objective, we acquire and improve digital businesses, not to sell on, but to own and operate for the long term. The transformations we make are often deep—designed to speed up innovation, benefit customers, and strengthen business performance. Here, hierarchy is minimal and teams are small and talent-dense. We operate established products with the ambition, agility, and urgency of a startup. Across the company, we integrate AI deeply into how we work so that human judgment and machine intelligence reinforce each other.

For a talented, driven, and collaborative individual, working at Bending Spoons is an opportunity to learn, make an impact, and progress their career at an exceptionally high rate. That’s our promise to such a candidate.

A few examples of your responsibilities

• Design and improve data pipelines. Contribute to the design and evolution of data systems—ensuring data is accurate, reliable, and efficiently processed across diverse tech stacks.
• Ensure data correctness and scalability. Work closely with software engineers to validate data, define metrics, and improve the robustness of reporting and analytics systems.
• Develop internal data products and tooling. Help build scalable solutions (e.g., reporting engines, forecasting tools) used by product teams across the company.
• Support platform-wide decision-making. Partner with multiple teams to provide the analytical and modeling backbone for business planning and performance tracking.
• Leverage AI to accelerate work and uncover insights. Use AI tools to move faster, surface ideas and opportunities, and study competing products and trends.
  
  

What we look for

• Reasoning ability. Given the necessary knowledge, you can solve complex problems. You think from first principles, and structure your ideas sharply. You resist the influence of biases. You identify and take care of the details that matter.
• Drive. You’re extremely ambitious in everything you do—and your initiative, effort, and tenacity match the intensity of your ambition. You feel deeply responsible for your work. You hold yourself to a high—and rising—bar.
• Team spirit. You give generously and without the expectation of receiving in return. You support the best idea, not your idea. You're always happy to get your hands dirty to help your team. You’re reliable, honest, and transparent.
• Proficiency in English. You read, write, and speak proficiently in English.
  
  

What we offer

• Incredibly talented, entrepreneurial teams. You’ll work in small, result-oriented, autonomous teams alongside some of the brightest people in your field.
• An exceptional opportunity for growth. We go to great lengths to hire individuals of outstanding potential—then, our priority is to put them in the ideal position to thrive. Spooners in their 20s lead products worth hundreds of millions of dollars. And if you’ve got what it takes, you’ll soon be playing an essential role in major projects, too.
• Competitive pay and access to equity in the company. Typically, we offer individuals at the start of their career an annual salary of £85,797 in London and €66,065 elsewhere in Europe. For a candidate that we assess as possessing considerable relevant experience, the salary on offer tends to be between £112,189 and £250,512 in London, and €107,837 and €188,848 elsewhere in Europe. Compensation varies by location and expected impact, and grows rapidly as you gain experience and translate it into greater contributions. For individuals who demonstrate exceptional capability, we may offer compensation that extends beyond the usual ranges to reflect their higher expected impact. If you're offered a permanent contract, you'll also be able receive some of your pay in company equity at a discounted price, thus participating in the value creation we achieve together. If relocating to Italy, you may enjoy a 50% tax cut.
• All. These. Benefits. Flexible hours, remote working, unlimited backing for learning and training, top-of-the-market health insurance, a rich relocation package, generous parental support, and a yearly retreat to a stunning location. We help each Spooner set up the conditions to do their best work.
  
  

Commitment & contract
Permanent or fixed-term. Full-time or part-time.

Location
Milan (Italy), London (UK), Madrid (Spain), Warsaw (Poland) or remote in selected countries.

The selection process
In our screening process, we prioritize verifiable signals of excellence, regardless of seniority. Some people hold back because they feel they lack experience or have an “imperfect” CV. If you like the role and believe you could excel over time, don’t self-reject.

If you pass our screening, you’ll be asked to complete one or more tests. They are challenging, may involve unfamiliar problems, and can take several hours.

We set the bar high and won’t extend an offer until we’re confident we’ve found the right candidate. This is why a job may remain open for months or be reposted several times.

We consider all applicants for employment and provide reasonable accommodations for individuals with disabilities—please let us know through this form.

Before you apply
If you’ve applied before but didn't receive an offer, we recommend waiting at least one year before applying again.

Bending Spoons is a demanding environment. We’re extremely ambitious and we hold ourselves—and one another—to a high standard. While this tends to lead to extraordinary learning, achievement, and career growth, it also requires significant commitment.

To help you ramp up quickly and set yourself up for success, we recommend spending your first few months working from our Milan office, regardless of your long-term work location. It’s the best way to rapidly absorb our company culture and build trust with your new teammates. We’ll support you with generous travel and accommodation assistance. After that, you’re welcome to work from our offices in Milan or London, or remotely from approved countries—depending on what we agree at the offer stage.

If the role speaks to you and you’re excited to give your best, we’d love to hear from you. Apply now—we can’t wait to meet you.

• Flexibilidad horariaSí
• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada11 abr.

. Python TSQL Cloud Coumputing AWS R DevOps Terraform Machine Learning Power BI

Honda Bank is evolving its data landscape towards a modern lakehouse architecture and advanced analytics capabilities. We are looking for a Data Science & Predictive Analytics Specialist to turn complex data into reliable insights, scalable models, and production ready analytics that support business decisions across multiple European entities.

In this role, you will work at the intersection of data engineering, advanced analytics, and machine learning. You will help design high quality datasets, build predictive models, and translate analytical findings into clear business value in a regulated financial environment.

If you are passionate about data science, predictive modelling, and building robust analytical solutions that go beyond dashboards, this is an opportunity to shape the future of data driven decision making at Honda Bank.

Tasks

Data Architecture & Engineering Collaboration

• Collaborate with Data Engineers to design and build scalable, production grade data pipelines using AWS Glue, S3, Athena, and Redshift.


• Support the transition from legacy data warehouse structures to a lakehouse architecture with bronze, silver, and gold layers.


• Contribute to the design of high quality, well documented datasets for analytical use.


• Provide analytical input on ETL and ELT design, data quality, and performance optimisation.

Data Analysis & Insights

• Conduct advanced statistical analysis to identify trends, patterns, and correlations in large datasets.


• Perform exploratory data analysis and hypothesis testing.


• Translate complex analytical findings into actionable business recommendations.


• Prepare reports and presentations for technical and non technical stakeholders.

Machine Learning & Predictive Analytics

• Design, develop, and deploy machine learning models for business use cases.


• Apply supervised, unsupervised, and time series forecasting techniques.


• Build and maintain reproducible model pipelines integrated into production environments.


• Monitor model performance and drive continuous improvements.

Data Visualisation & Communication

• Develop dashboards and self service analytics using Power BI, QlikView, and Python or R visualisation libraries.


• Create executive level reporting and analytical dashboards.


• Present analytical insights to leadership and cross functional teams.

Collaboration & Data Strategy

• Work closely with Data Engineers, Business Analysts, and governance teams to define data and analytics standards.


• Act as a subject matter expert on statistical methods, predictive analytics, and AI integration.


• Contribute to data governance, metadata management, and data quality processes across multi country initiatives.

Automation & CI/CD Integration

• Implement automated workflows for model testing, deployment, and monitoring.


• Integrate data science and machine learning workflows into CI/CD and infrastructure as code pipelines.

Requirements

What we’re looking for

• Experience in data science, analytics, or predictive modelling.


• Advanced SQL skills with a strong understanding of data warehousing and query optimisation.


• Strong programming proficiency in Python (Pandas, PySpark, scikit-learn) and or R for statistical analysis and visualisation.


• Experience developing and deploying machine learning models into production environments.


• Solid knowledge of statistical methods and predictive techniques.


• Experience with AWS cloud services such as S3, Glue, Athena, SageMaker, and Redshift.


• Understanding of data lakehouse architectures and hybrid cloud or on premise data environments.


• Proficiency with data visualisation tools such as Power BI and QlikView.

Nice to have

• Experience in financial services or other regulated industries.


• Exposure to CI/CD, Terraform, or similar DevOps tooling.


• Knowledge of EU data regulations or DORA related frameworks.


• Familiarity with QlikView for reporting and analytics.

Benefits

What we offer:

✅ Hybrid work model (Santa Perpètua de Mogoda, Barcelona)

✅ Flexible working hours

✅ Free parking

✅ Canteen allowance

✅ Life insurance and private medical insurance

✅Lease Car and Lease Bike Program for employees

Why Join Honda Bank?

🚗 Honda Bank GmbH, Sucursal en España is one of the three financial entities that Honda operates in Europe. By joining us, you become part of a big company with strong values, international reach, and a deep commitment to employee development.

🌍 At Honda, we believe in diversity and inclusion. We are proud to be a fair, equal-opportunity employer where people are valued for who they are, and where everyone contributes to our shared success.

If you’re ready to shape the future of Honda Bank’s data ecosystem, we’d love to hear from you.

👉 Apply now or share this opportunity with someone who might be a great fit.

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada3 abr.

. AWS

About Longtail Technologies

Longtail is building an intelligent decision-streaming platform that helps airlines make smarter decisions in real time. By combining automation, proprietary algorithms, and live travel data, we enable airlines to optimize pricing, availability, and product flexibility across thousands of routes worldwide. We're a fast-growing team solving complex, real-world problems at global scale. If you enjoy uncovering insights from large datasets and building systems that influence real strategic decisions, you’ll feel at home here.

About The Role

We are looking for a Senior Data Scientist to lead the development of our elasticity intelligence capabilities. This is a high-impact, greenfield role within our new Synergy Products squad , with a strong focus on data discovery — exploring newly acquired travel datasets to uncover patterns that shape how we understand demand elasticity. You will work at the intersection of data discovery, statistical modeling, and product strategy , identifying where elasticity insights can drive the most value for airlines.

This is an individual contributor role with significant ownership and autonomy from day one , working closely with product and engineering teams to turn analytical discoveries into product impact.

What You’ll Build

You will design and deliver:

• Exploratory analytical frameworks that uncover elasticity patterns across travel datasets
• End-to-end elasticity models grounded in strong statistical methodology
• Robust evaluation frameworks to validate model assumptions
• Production-ready model architectures with data engineering
• Clear analytical insights that inform product and pricing strategy
  
  

What Success Looks Like

Within your first three months, you will have delivered:

• A clear exploratory analysis of key travel datasets identifying the most promising areas for elasticity modeling
• A defensible view of elasticity across priority datasets
• A validated modeling framework with documented assumptions and robustness checks
• A proposal for production deployment of elasticity models
• Alignment with the product roadmap
• Strong cross-functional collaboration with product, engineering, and data teams
  
  

What You’ll Do

Your work will span both data discovery and model development , including:

• Exploring large-scale travel datasets to identify patterns and opportunities related to demand elasticity
• Designing and building elasticity models end-to-end
• Evaluating model robustness and statistical validity
• Translating findings into clear product and pricing insights
• Collaborating with data engineering to productionize models and pipelines
• Communicating statistical insights clearly to product and leadership stakeholders
  
  

Our Tech Stack

You don’t need to know everything on day one — we value strong fundamentals and the ability to learn quickly.

Our Ecosystem Includes

• Databricks (core platform)
• AWS
• Large-scale data lake architecture
• High-volume travel datasets
  
  

What We’re Looking For

We’re looking for someone who:

• Has experience building elasticity or demand models in production
• Brings strong applied statistics and experimentation skills Is comfortable working with large, complex datasets
• Can evaluate and communicate model quality clearly
• Owns projects end-to-end with high autonomy
• Works collaboratively with a low-ego mindset
  
  

About You

You’ll likely thrive in this role if you have:

• Experience with pricing, retail, marketplace, e-commerce, or travel data problems
• A track record of ramping quickly in new domains
• A systems mindset beyond individual models
• Strong curiosity and the ability to discover insights in complex datasets
  
  

Nice to Have

• Experience working with travel or airline datasets
• Experience proposing production architectures for data science systems
  
  

Why You’ll Love Working at Longtail

At Longtail, you’ll build technology used by real airline partners at global scale.

You'll

• Work on high-impact analytical problems
• Collaborate with experienced engineers and product leaders
• Take real ownership of complex systems
• Turn data discovery into product impact
  
  

We’re a distributed, collaborative team that values clarity, transparency, and sustainable ways of working.

Compensation & BenefitsSalary

Up to €100,000 base + bonus + Equity + Benefits

Hiring Process

• Recruiter screening
• Hiring manager interview
• Collaborative working session
• Final conversation
  
  

Ready to Build Something That Matters?

If you want to uncover insights in complex travel data and help shape the future of airline technology, we’d love to meet you. Apply now!

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

• Flexibilidad horariaSí
• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada2 abr.

. Python Linux Docker Git R Bash LESS Machine Learning Power BI Tableau

Job Reference

165_26_ES_GHR_RE2

Position

Climate and Health Data Scientist (RE2)

Closing Date

Wednesday, 15 April, 2026

Reference: 165_26_ES_GHR_RE2

Job title: Climate and Health Data Scientist (RE2)

About BSC

The Barcelona Supercomputing Center - Centro Nacional de Supercomputación (BSC-CNS) is the leading supercomputing center in Spain. It houses MareNostrum, one of the most powerful supercomputers in Europe, was a founding and hosting member of the former European HPC infrastructure PRACE (Partnership for Advanced Computing in Europe), and is now hosting entity for EuroHPC JU, the Joint Undertaking that leads large-scale investments and HPC provision in Europe. The mission of BSC is to research, develop and manage information technologies in order to facilitate scientific progress. BSC combines HPC service provision and R&D into both computer and computational science (life, earth and engineering sciences) under one roof, and currently has over 1000 staff from 60 countries.

Look At The BSC Experience

BSC-CNS YouTube Channel

Let's stay connected with BSC Folks!

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.

Context And Mission

The Global Health Resilience (GHR) group led by ICREA Research Professor Rachel Lowe at the BSC-CNS is seeking a highly motivated data scientist to co-create robust harmonised datasets, R packages and dashboards for decision-support tools to enhance surveillance, preparedness, and response to global health challenges, including climate-sensitive infectious diseases.

The GHR group conducts cutting-edge methodological research on disentangling the impacts of global environmental change on infectious disease risk and co-developing impact-based forecasting models at sub-seasonal to decadal timescales in collaboration with public health, disaster risk management, and humanitarian agencies. The GHR group works closely with the Earth System Services (ESS) group, whose mission is to research the impact of weather, atmospheric chemistry and climate upon socio-economic sectors, including renewable energy, agriculture, water management, forest fires, urban development and health and demonstrate the ongoing value of earth system services to society and the economy.

The selected candidate will conduct data audits and exploratory data reports to summarise characteristics, biases and completeness of both open-source and stakeholder provided data to provide decision-support at multiple spatial scales and different forecasting horizons. They will perform data linkage, involving post-processing, downscaling, integration, harmonization and machine learning techniques, and visualization of multi-source, multi-scale epidemiological, climatic, environmental, demographic, socio-economic, human movement, and health systems datasets. They will develop R packages for data harmonisation and modelling, co-design dashboards to summarise and visualise multi-sourced data and facilitate communication with the team and stakeholders, and prepare and deliver material for stakeholder training and capacity building activities. The successful candidate will work in close collaboration with the Data and Diagnostics team that co-develops the analysis packages. This position presents an opportunity to work alongside a wide range of leading international climate and health scientists delivering cutting-edge climate services for the health sector to inform policymakers in Latin America and the Caribbean, Asia, Europe, and worldwide.

Successful candidates will benefit from expert training and BSC-CNS staff benefits: international multidisciplinary scientific environment and advanced applied research training. We encourage applications from highly motivated candidates with demonstrated experience in impact modelling for public health and an interest in applied research in the context of climate and environmental change.

Key Duties

• Co-create decision support systems to enhance public health resilience to climate change
• Conduct data audits of existing epidemiological, health system and environmental information
• Process, clean, and verify the integrity of data to be used for analysis
• Perform Extraction, Transform and Load (ETL) processes
• Harmonise multi-source, multi-scale datasets (e.g. health surveillance, demographic, climate, hydrological, socio-economic, mobility, etc.)
• Develop automated data pipelines for operational decision support tools
• Conduct exploratory statistical analyses and create exploratory data analysis reports
• Produce dashboards and design innovative ways to visualise data
• Develop training materials for researchers, data managers and stakeholders
• Communicate research results at scientific conferences and in refereed journals
• Contribute to applications for competitive grants and projects
• Support administrative duties of the group, including arranging meetings, taking minutes, writing deliverable and mission reports, maintaining Wiki/webpages, etc.
• Engage with local stakeholders, data managers and policy makers
• Develop and maintain open-source data and modelling tools, e.g. R packages
• Coordinate data science activities within and across groups
• Mentor junior data scientists
  
  

Requirements

• Education
• BSc and MSc in Statistics, Mathematics, Computer Science, Meteorology, Environmental Sciences, Physics, Public Health Geography, Demography, Epidemiology, or equivalent
• Essential Knowledge and Professional Experience
• Experience in data management and statistical analyses
• Strong programming skills in a suitable language (e.g., R, Python)
• Experience with version control systems (e.g., git)
• Experience using data visualisation packages, mapping tools and dashboard creation (e.g., Shiny, Tableau, Power BI)
• Excellent written and verbal communication skills in English, demonstrated in scientific publications and/or well documented repositories
• Ability to work in a collaborative professional environment within a transdisciplinary and international team
• Experience with Linux environments and scripting languages (e.g., bash)
• Additional Knowledge and Professional Experience
• Fluency in English is essential. Proficiency in Spanish and other languages would be advantageous
• Experience with machine learning methods and AI
• Experience with statistical downscaling and bias adjustments techniques
• Experience with various types of data (e.g., epidemiological, meteorological, environmental, mobility, hydrological)
• Experience working with climate projections and counterfactuals
• Experience in the processing and evaluation of satellite/drone images and geodata (e.g., GIS).
• Experience with Docker
• Experience working with public health stakeholders and international agencies
• Competences
• Problem-solving, proactive, result-oriented work attitude
• Excellent communication skills
• Ability to show initiative, prioritize tasks and meet deadlines
• Ability to learn and adapt to multiple programming languages easily
• Demonstrates kindness, empathy, and respectful communication in team interactions, fostering collaboration and a positive work environment
  

Conditions

• The position will be located at BSC within the Earth 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, support to the relocation procedures
• Duration: Open-ended contract due to technical and scientific activities linked to the project and budget duration
• Holidays: 22 days of holidays + 6 personal days + 24th and 31st of December per our collective agreement
• Salary: we offer a competitive salary commensurate with the qualifications and experience of the candidate and according to the cost of living in Barcelona
• Starting date: ASAP
  
  

Applications procedure and process

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 [email protected].

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.

For more information follow this link

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please choose one of this and if needed describe the option : - BSC Website - Euraxess - Spotify - HiPeac - LinkedIn - Networking/Referral: include who and how - Events (Forum, career fairs): include who and how - Through University: include the university name - Specialized website (Metjobs, BIB, other): include which one - Other social Networks: (Twitter, Facebook, Instagram, Youtube): include which one - Other (Glassdoor, ResearchGate, job search website and other cases): include which one

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