Data Analysis LIVERAIM PROJECT (Horizon Europe)

The Barcelona Institute for Global Health (ISGlobal) is a cutting-edge institute addressing global public health challenges through research, translation into policy and education. ISGlobal has a broad portfolio in communicable and non-communicable diseases including environmental and climate determinants, and applies a multidisciplinary scientific approach ranging from the molecular to the population level. Research is organized in five programs: Climate, Air Pollution, Nature and Urban Health; Environment and Health over the Lifecourse; Global Viral and Bacterial Infections; Malaria and Neglected Parasitic Diseases and Maternal Child and Reproductive Health. ISGlobal is accredited with the Severo Ochoa distinction, a seal of excellence of the Spanish Science Ministry.

WHAT WE ARE LOOKING FOR

ISGlobal is seeking a motivated data scientist with the vision of leveraging data analytics and artificial intelligence to improve health care outcomes. This is a unique opportunity for a motivated data scientist to contribute to the digital transformation of biomedicine and carry out research that has social impact and responds to unmet medical needs.

The researcher will develop novel research that applies advanced data science, machine learning and deep learning to various different data modalities. An ambition of this team is to implement predictive modelling as well as explainable AI methods to understand disease drivers leading to early disease diagnosis and the discovery of novel digital biomarkers in the context of chronic liver disease for the LIVERAIM project.

Previous experience in the deep learning field is highly desirable. Interest is additionally expressed for candidates with demonstrated experience in the biomedical field.

The selected candidate will have the opportunity to work in a highly multidisciplinary environment, working closely with computational, experimental and clinical collaborators in a creative, challenging and entrepreneurial environment. ISGlobal offers training workshops where the postdoctoral fellow will be able to develop technical and interpersonal skills which are important for a successful career.

KEY RESPONSIBILITIES

• Interpret and communicate analytical results to multidisciplinary teams, including clinicians and researchers

• Lead the preparation of scientific reports, manuscripts, and technical documentation

• Contribute to the writing and submission of peer-reviewed publications

• Prepare and deliver scientific presentations for internal meetings, conferences, and project stakeholders

• Collaborate with project partners to ensure accurate interpretation and dissemination of findings

• Maintain high standards of data quality, reproducibility, and documentation

• Publish research results in scientific journals and in national and international conferences.

AUXILIAR TASKS

This job description reflects the present requirements of the post but may evolve at any time in the future as duties and responsibilities change and/or develop providing there is appropriate consultation with the post-holder.

This job description is not a definitive or exhaustive list of responsibilities but identifies the key responsibilities and tasks of the post holder. The specific objectives of the post holder will be subject to review as part of the individual professional assessment process.

SKILLS

• Teamwork.

• Problem resolution.

• Learning capacity.

The post holder will adhere to ISGlobal principles contained in People management policy, including Equity, diversity and health safety. The post holder will respect, and be accountable to ensure ISGlobal policies and procedures.

TRAINING AND EXPERIENCE / QUALIFICATIONS

• Have a completed, or near completion, PhD with strong expertise in Statistics, Biostatistics, Epidemiology, Biomedical Sciences, Mathematics, or related fields

• Demonstrated experience in statistical analysis of biomedical or clinical datasets

• Strong programming skills in R and/or Python

• Experience in data cleaning, management, and integration from multiple sources

• Proven ability in scientific writing and reporting (e.g., manuscripts)

• Experience preparing scientific presentations for conferences or stakeholders

• Knowledge of statistical methods such as regression models, survival analysis, longitudinal data analysis, or similar is desirable

• Having first-authored publications in peer-reviewed journals is a must

• Be fluent in spoken and written English

LANGUAGE LEVEL

• Prof