Scientific Communications Manager

Organisation / Company : FUNDACIÓ BOSCH I GIMPERA

Department : HUMAN RESOURCES

Research Field : Anthropology, Communication sciences, Educational sciences, Ethics in health sciences, Information science, Language sciences, Other Technology, Sociology, Medical sciences

Researcher Profile : First Stage Researcher (R1)

Positions : Bachelor Positions

Country : Spain

Application Deadline : 15 Jan 2025 - 23 : 59 (Europe / Madrid)

Type of Contract : Temporary

Job Status : Full-time

Hours Per Week : 37.5

Offer Starting Date : 10 Feb 2025

Is the job funded through the EU Research Framework Programme? Horizon 2020

Is the Job related to staff position within a Research Infrastructure? No

Offer Description

We are offering an exciting position as a Scientific Communications Manager in the field of artificial intelligence in health care. The selected candidate will work within the scope of European Research Projects at the University of Barcelona’s Artificial Intelligence in Medicine Lab ( www.bcn-aim.org ).

As a Scientific Communications Manager, you will play a crucial role in the development, implementation, and communication of scientific research within the context of European-funded projects, particularly within the Horizon 2020 and Horizon Europe Programmes.

The main objectives of this position will be to produce high-quality scientific content and documentation that supports the correct implementation of the projects. In addition, you will be involved in the preparation and writing of proposals in collaboration with project coordinators, researchers, and other stakeholders. Moreover, you will be responsible for the preparation of various scientific documents, including research papers, technical reports, and deliverables. You may be requested to develop communication strategies and materials aimed at disseminating project outcomes to diverse audiences. This may include writing press releases, articles, website content, managing social media accounts, and promoting events and outreach through various channels to attract attendees and participants.

We offer :

• A dynamic position in beautiful Barcelona and its Mediterranean climate.
• Research experience within a prestigious university (1st position in Spain).
• Cutting-edge research in AI for healthcare in one of the most dynamic research groups in Europe (12 active projects including an ERC grant).
• An international research environment with a multi-cultural team representing all continents.
• Opportunities to collaborate with international and interdisciplinary collaborators as part of the European projects.
• Travelling opportunities to scientific events, project meetings and international stays.
• Flexible working hours, with possibility to telework.

The research projects :

You will join our AI for cancer imaging team, as part of ongoing projects such as EuCanImage ( www.eucanimage.eu ) and RadioVal ( www.radioval.eu ), funded by the European Commission and coordinated by our lab. In these projects, we are developing new trustworthy AI methods for image-based estimation of treatment response in breast cancer. In particular, we are interested in new AI models which, once applied in real-world practice, will be fair across population groups, generalisable across clinical sites, robust against imaging variations, explainable for clinical use, and respectful of data privacy. Hence, we are investigating a wide range of approaches, including transfer learning, bias correction, domain adaptation, generative modelling, uncertainty estimation, explainable AI and federated learning. Should you join our team, you will collaborate with several technical and clinical partners within and outside Europe ( e.g. in the Netherlands, Greece, Spain, Sweden, Poland, the USA, Argentina, Egypt).

The Group :

The successful candidate will join the Artificial Intelligence in Medicine Lab ( www.bcn-aim.org ), which is an integral part of the University of Barcelona’s Faculty of Mathematics and Computer Science. It is a young and dynamic research lab, highly active in international projects, and composed of >

20 enthusiastic academics, researchers, students and research managers, with expertise in data science, machine / deep learning, biomedical informatics, biomedical ethics, and health-related applications. The research team has an established track record in coordination and participation in national, European and international projects in biomedical data science and medical AI (e.g. EuCanImage, euCanSHare, EarlyCause, LongITools, HealthyCloud, RadioVal, DataTools4Heart, Youth-GEMs, HappyMums, AIMIX, AI4HF).

The Institution :

The University of Barcelona (UB), founded in 1450, is one of the oldest universities in Spain. It comprises a student body of 84,370 and 4,548 research staff members. With 73 undergraduate programs, 273 graduate programs and 48 doctorate programs, UB is the largest university in Barcelona and Catalonia. The UB is ranked the first Spanish university according to several rankings (QS World University Rankings 2018, ARWU / Shanghai Ranking 2018). It is particularly interested in fostering international relations and, for many years, has managed an average of 150 European projects per year. Since January 2010, Universitat de Barcelona is part of the prestigious League of European Universities Research (LERU).

Gross salary per year : 40.000 euros

Where to apply

E-mail : [email protected]

Requirements

Research Field : Other

Education Level : Bachelor Degree or equivalent

Skills / Qualifications :

Specific Requirements :

Languages : ENGLISH Level Excellent

Additional Information

Eligibility criteria :

Selection process :

Selection based on CV and motivation letter

Additional comments :

Each application will be reviewed individually, hence motivated and talented candidates who do not fulfil all requirements may be considered.

We ensure equal employment opportunity without any discrimination based on sex, gender, age, nationality, ethnicity, religion, sexual orientation, disability, civil status, parental status, pregnancy, childbirth or any medical condition.

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