Sano PhD Student

Advancing BioMedical Literature Search using Federated Search and Generative AI

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.

The position is for Sano’s Clinical Data Science team. We are seeking a highly motivated and talented individual to join our research team as a PhD student. This position offers an exciting opportunity to contribute to the advancement of biomedical literature federated search through the application of generative AI techniques and cutting-edge tools, such as ChatGPT, LLaMA, Alpaca, and others.

The successful candidate will be involved in developing and enhancing a federated search engine that enables simultaneous searching of multiple biomedical literature databases. This research project aims to leverage the power of generative AI models and natural language processing to improve the effectiveness and efficiency of information retrieval from diverse biomedical sources. The candidate will explore the use of state-of-the-art tools, including ChatGPT, LLaMA, Alpaca, and other relevant AI models, to enhance the search capabilities, semantic understanding, and user interaction within the federated search framework.

The position is especially adequate for PhD students 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:

  • Conduct an in-depth review of the existing literature on federated search in the biomedical domain, as well as generative AI models and techniques.
  • Design and implement novel algorithms and methodologies to improve the performance and accuracy of the federated search engine.
  • Utilize generative AI tools, such as ChatGPT, LLaMA, Alpaca, etc., to enhance the natural language understanding and generation capabilities of the search system.
  • Collaborate with interdisciplinary teams, including researchers and clinicians, to understand their needs and incorporate their feedback into the system design.
  • Perform rigorous evaluations and experiments to assess the effectiveness and efficiency of the developed federated search framework.
  • Publish research findings in top-tier conferences and journals, contributing to the academic and scientific community.
  • Contribute to the intellectual environment of the research group through active participation in discussions, seminars, and knowledge sharing.

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, C++, Java, and/or Julia programming;
  • Familiarity with generative AI models and frameworks, such as ChatGPT, LLaMA, Alpaca, or similar tools.
  • Solid understanding of biomedical literature databases, ontologies, and related resources.
  • Excellent problem-solving abilities and the ability to work both independently and collaboratively in a research team.
  • Strong written and verbal communication skills, with the ability to present research findings effectively.

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 9300 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, access to many international conferences on computational medicine and the 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;

Apply through Sano recruitment system. If you would like to apply for future openings feel free to send your application to our database.​