Biomedical Semantic Data Integration and Management

Sano PhD students

Give us a chance to meet you

Sano Centre for Computational Medicine is a new International Scientific Foundation located in Kraków, Poland.

Sano aspires to be a major translational scientific institute, operating at the meeting point of academic science, established MedTech industry, and emerging start-up environment, combining the best of these three perspectives.

Sano acts as a core technology and expertise provider for industry, and creator of innovation, developing state-of-the-art solutions for healthcare. Thanks to the substantial funding and excellent European partnership network, Sano will bring a critical mass to this transformational field of research, in order to translate scientific advancements onto clinical practice. Sano’s ambition is to become the Reference Centre for Computational Medicine in Central Europe and build a reputation as a leading institute on a global level.

As a cross-disciplinary institution, Sano uses machine learning/artificial intelligence (ML/AI), large scale computer simulations (HPC), data science, and other computational technologies towards overcoming global challenges in healthcare systems. The research agenda will be executed in close collaboration with Partners in Poland, EU and USA.

We value:

Passion – Passion in what we do, engagement in Sano operations, taking responsibility, providing initiative, being happy at work.
Innovation – Boldness in articulating and pursuing novel ideas, courage to think outside the box.
Integrity – Directness, openness, tolerance and respect. Scientific integrity (we do not cut corners).
Diversity – Diversity in backgrounds, cultures and opinions of Sano employees. Promotion of women in STEM.

Project title: Biomedical Semantic Data Integration and Management
Closing date: 09.10.2022
Level of education: Master's degree
Hours: 40 hours per week
Salary indication: up to 8000 PLN gross monthly
Project start: Project start: October/November 2022(as soon as a Candidate is selected)
Sano: dr. Ahmed Abdeen Hamed (Clinical Data Science Research Group Leader)

The position is for Sano’s Clinical Data Science team. Our group develops a new generation of semantically integrated databases for clinical and biomedical. Our system will build on recent Big Data workflow technologies to integrate using a multitude of very large data sets, including text mining results, mutation databases, internal and external -omics high-throughput sets, ontologies, and clinical data.

The project sets out to provide an ultimately fine-grained implementation of parsing, extracting, integrating, and querying classes of ontologies which can be processed efficiently and have other desirable computational properties. The overall aim of this approach is to enable ontology engineers to design and customize ontologies that strike an ideal balance between the knowledge provided and efficient processing, in this way developing ontology-mediated querying to its full potential.

The position is especially adequate for Postdocs, PhD students or engineers who want to learn about, apply and further develop workflow technologies for scalable data integration in the exciting field of clinical data science and analytics. You will contribute to the ambition of Sano’s Clinical Data Science team to be nationally and internationally recognized for its strengths in clinical data science in general and biomedical data analytics, in particular.

You are expected to do:

Original research in this field under the direction of the Project’s Principal Investigator.
Participate in seminars by internal and external speakers as well as journal clubs and group activities.
Collaborate with other PhD candidates, postdoctoral researchers, and other Sano employees.

Required background and skills of the candidate:

Master’s degree (completed or near completion) in a relevant discipline, such as data; science, mathematics, biostatistics, computational biology, computational chemistry;
Proficiency in Python, Java, and/or Julia programming;
Expertise in working with the Biomedical ontologies (OWL/RDF/XML/JSON/OBO) formats;
Demonstrated experience with semantic annotations and semantic networks;
Developing microservices-based APIs;
Proficiency programming for databases (MySQL, PostgreSQL, K-V databases);
Knowledge of Graph Databases (Neo4J, RDF DB);
Prior research experience in academia or industry is a plus;
A great deal of interest in pursuing computational medicine research.

We offer a fixed term contract for 40 hours per week for the duration of 4 years. This will be supported by an educational plan that includes attendance of courses and (international) meetings. The contract will include opportunities to participate in teaching and supervision of undergraduate and master students.

The salary, depending on relevant experience before the beginning of the employment contract, will be up to 8000 PLN gross per month, based on a full-time contract (40 hours a week) for the duration of 4 years with private medical care and a sports card.

This PhD will be a collaboration between Sano and a degree awarding body. The student will be based in Poland, operating in conjunction with the Cyfronet supercomputing centre hosted by AGH.

Sano offers excellent opportunities for study and development, an access to many international conferences on computational medicine and a possibility to grow in a scientific society.

If you feel that this job opportunity is the career that you are looking for, please apply immediately and give Sano a chance to meet you. Please, be informed that Sano will contact only with Candidates fulfilling the formal criteria.

Sano is an equal-opportunity employer. We prioritize diversity and are committed to creating an inclusive environment for everyone. We value a spirit of enquiry and perseverance, provide the space to keep asking questions, and promote a culture of curiosity and creativity.

Do you recognize yourself in the job profile? Then we look forward to receiving your application.

Applications in .pdf should include:

a cover letter;
a curriculum vitae;

Sano PhD students