Postdoc in Biomedical Data Science and Artificial

hace 4 semanas

Barcelona, España Instituto de Salud Global de Barcelona (ISGlobal) A tiempo completo

**Descripción**:
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 the following main areas, Malaria and other Infectious Diseases, Maternal, Child and reproductive Health, Urban Health and environmental health, Climate & Non-Communicable Diseases. ISGlobal is accredited with the Severo Ochoa distinction, a seal of excellence of the Spanish Science Ministry.

**Lugar**:
Barcelona

**What We Are Looking for**:
ISGlobal is seeking a motivated postdoctoral researcher to join the Biomedical Data Science Research Group of Dr. Paula Petrone at ISGlobal, created in the framework of the Severo Ochoa Program, 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 postdoctoral 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.**

**This position will be supported by funding from the LIVERAIM project**.
**Number: 101132901 PROYECTO IHI LIVERAIM**

**Training and experience /Qualifications**:

- Have a completed, or close to completion, PhD with strong analytics expertise in any of the following areas: Biomedical Sciences, Computer Science, Engineering, Mathematics, Statistics, Physics or related fields. Additional profiles will be considered if highly motivated researchers in other related disciplines decide to apply.
- Experience developing algorithms or building data solutions, and integrating and managing datasets from multiple sources.
- Solid programming experience in one or more general purpose programming language: Python, R, Scala.
- Hands-on experience using one of the following deep learning libraries: Tensorflow, PyTorch or similar is desirable.
- Having first-authored publications in peer-reviewed journals is desirable.
- Be willing to work in an interdisciplinary team within a highly collaborative research institute.

**Key Responsibilities**:

- Development of machine learning & deep learning algorithms to augment clinical decision-making and guide the development of new therapies and diagnostics.
- Carry out high-quality research independently.
- Help develop robust model training and data infrastructure to support collaborative data science projects at ISGlobal.
- Publish research results in scientific journals and in national and international conferences.

**Auxiliary task**:
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.

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.

**Language level**:

- Be fluent in spoken and written English.

**Conditions**:

- Duration: 2 years
- Starting date**:Immediately**:

- Contract: Full Time
- During the crisis caused by COVID19, standard working conditions will be adapted to sanitary requirements

**Selection Process**:
The selection process is designed in two phases:
1 - Interview phase of a technical nature, with the team that requires the incorporation. To assess the person's skills and CV.
2 - Meeting with HR with the finalist(s) to finish assessing the profile and discuss contractual and institutional issues.

If needed, any technical test could be passed. A Psychological Competency Evaluation Test will be required for the structural or transversal positions.

**How to apply**:
**In ISGlobal we are committed to maintaining and developing a work environment in which the values and principles of our organization are respected and equal opportunities between women and men be promoted in each of the areas in which we operate, not tolerating discrimination based on criteria such as age, gender, marital status, race, ethnicity, functional diversity, political leanings, religion, sexual orientation, gender identity or gender expression.**:
**We confirm our commitment towards the value of the diversity of our staff and student

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