{"id":31820,"date":"2026-07-08T17:28:02","date_gmt":"2026-07-08T15:28:02","guid":{"rendered":"https:\/\/sano.science\/?post_type=job_offers&p=31820"},"modified":"2026-07-13T14:48:17","modified_gmt":"2026-07-13T12:48:17","slug":"msc-student-fnp-first-team","status":"publish","type":"job_offers","link":"https:\/\/sano.science\/job-offers\/msc-student-fnp-first-team\/","title":{"rendered":"MSc Student \u2013 FNP First Team"},"excerpt":{"rendered":"","protected":false},"featured_media":0,"template":"","job_offers_category":[54],"class_list":["post-31820","job_offers","type-job_offers","status-publish","hentry","job_offers_category-sano-jobs-offers"],"yoast_head":"\nMSc Student \u2013 FNP First Team - Centre for Computational Personalized Medicine<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/sano.science\/job-offers\/msc-student-fnp-first-team\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"MSc Student \u2013 FNP First Team\" \/>\n<meta property=\"og:url\" content=\"https:\/\/sano.science\/job-offers\/msc-student-fnp-first-team\/\" \/>\n<meta property=\"og:site_name\" content=\"Centre for Computational Personalized Medicine\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/sano.science\/\" \/>\n<meta property=\"article:modified_time\" content=\"2026-07-13T12:48:17+00:00\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:site\" content=\"@sanoscience\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/sano.science\\\/job-offers\\\/msc-student-fnp-first-team\\\/\",\"url\":\"https:\\\/\\\/sano.science\\\/job-offers\\\/msc-student-fnp-first-team\\\/\",\"name\":\"MSc Student \u2013 FNP First Team - 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Recent advances in metagenomic sequencing have enabled large-scale characterization of microbial communities across populations.<br \/>\nHowever, translating microbiome sequencing data into functional insights and clinically actionable predictions remains a major challenge.<\/p>\n<p>The project, titled \u201c<em>A generative foundation model of the human gut microbiome for digital twin development and biomedical applications,<\/em>\u201d aims to create a next-generation model capable of supporting biomedical research, diagnostics, prevention, and therapy optimization.<\/p>\n<p>By training microbiomeGPT on large-scale metagenomic datasets, the team will work toward identifying disease biomarkers, simulating microbiome dynamics, and generating patient digital twins to advance precision medicine. This generative approach has the potential to transform how clinicians and researchers understand and intervene in human health.<\/p>\n<p>Support structure: The successful candidate will work under the Head Researcher conceptual supervision, with technical support from the Scientific Programmer (environment setup, training templates, reproducibility), and substantive guidance from prof. Ewa Szczurek (Helmholtz Munich) on AI model design and interpretation in biology.<\/p>\n<p>The candidate must be enrolled in a Bachelor’s or Master’s degree programme and hold active student status.<\/p>\n<p>Milestone: A defended master’s thesis plus an evaluation report comparing at least 3 architectures (ideally 5 experiments), accepted by one of Sano’s partner universities. The chosen architecture then feeds directly into Stage 4 (full training of microbiomeGPT v1.0).<\/p>\n<h4>What are you going to do?<\/h4>\n<p>MSc Student is assigned to Stage 3: Analysis of architectures for the microbiomeGPT model.<br \/>\nTheir work will be integrated with their master’s thesis, and they’ll be the main person executing this stage. Specifically, they’re responsible for:<\/p>\n<ul>\n<li>literature review of candidate AI architectures<\/li>\n<li>selection of architectures to test for microbiomeGPT<\/li>\n<li>running comparative experiments across architectures, evaluating: embedding quality,<br \/>\ngeneralization ability, training efficiency (time and resources), interpretability, and stability under noisy or incomplete data<\/li>\n<li>using tools like PyTorch Lightning and Hugging Face Transformers, plus explainable AI techniques<\/li>\n<li>documenting all experiments, results, and evaluation tooling<\/li>\n<li>analyzing results and producing a final report with a justified recommendation for the target architecture (considering the tradeoff between computational complexity, scalability, and expected model quality)<\/li>\n<\/ul>\n<h4>What do we require?<\/h4>\n<p>Required background and skills of the candidate:<\/p>\n<ul>\n<li>active student status in a Bachelor’s or Master’s degree programme in bioinformatics, computer science, biology, or a related field;<\/li>\n<li>programming skills in Python;<\/li>\n<li>knowledge of metagenomics and\/or gut metabolomics;<\/li>\n<li>excellent written and spoken English communication skills.<\/li>\n<\/ul>\n<h4>Our offer<\/h4>\n<p>We offer a half-time (20h per week) contract of employment for the duration of 9 months. Two MSc student positions are planned within the project.<br \/>\nThis will be supported by an educational plan that includes attendance of courses and international scientific meetings.<br \/>\nThe salary, depending on relevant experience before the beginning of the employment contract, will be around 2500 PLN gross per month, based on a half-time contract (20 hours a week, 50% FTE) for the duration of 9 months. The position includes private medical care and a sports card.<br \/>\nSano offers excellent opportunities for study and development, access to international conferences on computational medicine, and the possibility to work in an interdisciplinary research environment.<\/p>\n<h4>Questions?<\/h4>\n<p>Do you have any questions about this vacancy? Or do you want to know more about our organization? Please contact us at <a href=\"m.golabek@sanoscience.org\">m.golabek@sanoscience.org<\/a>.<\/p>\n<h4><strong>About Sano<\/strong><\/h4>\n<p><a href=\"https:\/\/sano.science\/\">Sano Centre for Computational Medicine<\/a> is a new International Scientific Foundation located in Krak\u00f3w, Poland.<\/p>\n<p>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.<\/p>\n<p>Established with support from the European Commission and the Foundation for Polish Science, Sano aims to be a major driving force behind the advancement of computational medicine for the benefit of healthcare systems worldwide.<\/p>\n<p>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 into clinical practice. Sano\u2019s ambition is to become the Reference Centre for Computational Medicine in Central Europe and build a reputation as a leading center on a global level.<\/p>\n<p>As a cross-disciplinary institution, Sano uses machine learning\/artificial intelligence (ML\/AI), large scale computer simulations, 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.<\/p>\n<h4>Eligibility criteria<\/h4>\n<p>The candidate must be enrolled in a Bachelor’s or Master’s degree programme and hold active student status.<\/p>\n<h4>Job application<\/h4>\n<p>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.<\/p>\n<p>Do you recognize yourself in the job profile? Then we look forward to receiving your application.<\/p>\n<p>The recruitment process will consist of two interviews (Introductory interview and Competency-based interview) with the Recruitment Committee.<\/p>\n<p>Only selected candidates will be invited for the interviewing phase.<\/p>\n<p>Applications in pdf should include:<\/p>\n<ul>\n<li>a cover letter;<\/li>\n<li>\u00a0a curriculum vitae;<\/li>\n<\/ul>\n<p>Apply<br \/>\n<a href=\"https:\/\/sano.elevato.net\/en\/msc-student-fnp-first-team,ja,200\" target=\"_blank\" rel=\"noopener\">https:\/\/sano.elevato.net\/en\/msc-student-fnp-first-team,ja,200<\/a><br \/>\n<a href=\"https:\/\/euraxess.ec.europa.eu\/jobs\/451298\" target=\"_blank\" rel=\"noopener\">https:\/\/euraxess.ec.europa.eu\/jobs\/451298<\/a><\/p>\n"},{"acf_fc_layout":"basic_article","title":{"heading_text":"Magistrant \u2013 FNP First Team","heading_level":"h2","heading_variant":"default","extra_classes":""},"content":"<p><strong>Tytu\u0142 projektu<\/strong>: Magistrant – G<em>eneratywny model fundamentalny ludzkiego mikrobiomu jelitowego do tworzenia cyfrowych bli\u017aniak\u00f3w i zastosowa\u0144 biomedycznych<\/em> \u2013 FNP First Team<br \/>\n<strong>Data publikacji<\/strong>: 08.07.2026<br \/>\n<strong>Termin zamkni\u0119cia naboru<\/strong>: 07.08.2026<br \/>\n<strong>Wymagane wykszta\u0142cenie<\/strong>: wy\u017csze (minimum in\u017cynierskie\/licencjackie)<br \/>\n<strong>Wymiar czasu pracy<\/strong>: 20 godzin tygodniowo (50% etatu)<br \/>\n<strong>Orientacyjne wynagrodzenie<\/strong>: 2 500 PLN brutto miesi\u0119cznie<\/p>\n<p><strong>Kierownik<\/strong>:<br \/>\nG\u0142\u00f3wny Badacz: dr <a href=\"https:\/\/sano.science\/people\/tomasz-kosciolek\/\">Tomasz Ko\u015bci\u00f3\u0142ek<\/a> (Kierownik Zespo\u0142u Structural and Functional Genomics w Sano)<br \/>\n<strong>Okres realizacji projektu<\/strong>: 01.07.2026 \u2013 31.12.2029<\/p>\n<p>Ludzki mikrobiom odgrywa fundamentaln\u0105 rol\u0119 w wielu procesach fizjologicznych, w tym w metabolizmie, regulacji immunologicznej oraz sygnalizacji neurologicznej. Ostatnie post\u0119py w sekwencjonowaniu metagenomowym umo\u017cliwi\u0142y wielkoskalow\u0105 charakterystyk\u0119 spo\u0142eczno\u015bci drobnoustroj\u00f3w w r\u00f3\u017cnych populacjach. Jednak\u017ce przekszta\u0142canie danych z sekwencjonowania mikrobiomu w funkcjonalne wnioski oraz klinicznie u\u017cyteczne predykcje pozostaje powa\u017cnym wyzwaniem.<\/p>\n<p>Projekt zatytu\u0142owany \u201c<em>Generatywny model fundamentalny ludzkiego mikrobiomu jelitowego do tworzenia cyfrowych bli\u017aniak\u00f3w i zastosowa\u0144 biomedycznych<\/em>\u201d ma na celu stworzenie modelu nowej generacji zdolnego do wspierania bada\u0144 biomedycznych, diagnostyki, profilaktyki oraz optymalizacji terapii.<\/p>\n<p>Poprzez trenowanie modelu microbiomeGPT na wielkoskalowych zbiorach danych metagenomowych zesp\u00f3\u0142 b\u0119dzie d\u0105\u017cy\u0142 do identyfikacji biomarker\u00f3w chorobowych, symulowania dynamiki mikrobiomu oraz generowania cyfrowych bli\u017aniak\u00f3w pacjent\u00f3w w celu rozwoju medycyny precyzyjnej. To podej\u015bcie generatywne ma potencja\u0142, aby zmieni\u0107 spos\u00f3b, w jaki klinicy\u015bci i badacze rozumiej\u0105 zdrowie ludzkie oraz interweniuj\u0105 w jego przebieg.<\/p>\n<p>Wsp\u00f3\u0142praca: Wybrany kandydat b\u0119dzie pracowa\u0142 pod koncepcyjnym nadzorem G\u0142\u00f3wnego Badacza, z technicznym wsparciem Programisty Naukowego (konfiguracja \u015brodowiska, szablony szkoleniowe, powtarzalno\u015b\u0107) oraz merytorycznym wsparciem prof. Ewy Szczurek (Helmholtz Monachium) w zakresie projektowania i interpretacji modeli sztucznej inteligencji w biologii.<\/p>\n<p>Kandydat musi by\u0107 studentem studi\u00f3w licencjackich lub magisterskich i posiada\u0107 status aktywnego studenta.<\/p>\n<p>Kamie\u0144 milowy: Obrona pracy magisterskiej oraz raport ewaluacyjny por\u00f3wnuj\u0105cy co najmniej 3 architektury (najlepiej 5 eksperyment\u00f3w), zaakceptowany przez jedn\u0105 z uczelni partnerskich Sano. Wybrana architektura zostanie nast\u0119pnie bezpo\u015brednio w\u0142\u0105czona do Etapu 4 (pe\u0142ne szkolenie microbiomeGPT v1.0).<\/p>\n<h4>Zakres obowi\u0105zk\u00f3w<\/h4>\n<p>Student studi\u00f3w magisterskich b\u0119dzie przydzielony do Etapu 3: Analiza architektur modelu mikrobiomeGPT.<\/p>\n<p>Jego praca b\u0119dzie zintegrowana z prac\u0105 magistersk\u0105 i b\u0119dzie on g\u0142\u00f3wn\u0105 osob\u0105 realizuj\u0105c\u0105 ten etap. W szczeg\u00f3lno\u015bci b\u0119dzie odpowiedzialny za:<\/p>\n<ul>\n<li>przegl\u0105d literatury potencjalnych architektur sztucznej inteligencji (AI)<\/li>\n<li>wyb\u00f3r architektur do przetestowania pod k\u0105tem mikrobiomeGPT<\/li>\n<li>przeprowadzenie eksperyment\u00f3w por\u00f3wnawczych obejmuj\u0105cych r\u00f3\u017cne architektury, ocen\u0119:<br \/>\njako\u015bci osadzenia, zdolno\u015bci generalizacji, efektywno\u015bci uczenia (czas i zasoby), interpretowalno\u015bci i stabilno\u015bci w warunkach zaszumionych lub niekompletnych danych<\/li>\n<li>wykorzystanie narz\u0119dzi takich jak PyTorch Lightning i Hugging Face Transformers, a tak\u017ce wyja\u015bnialnych technik sztucznej inteligencji (AI)<\/li>\n<li>dokumentowanie wszystkich eksperyment\u00f3w, wynik\u00f3w i narz\u0119dzi ewaluacyjnych<\/li>\n<li>analiz\u0119 wynik\u00f3w i sporz\u0105dzenie raportu ko\u0144cowego z uzasadnion\u0105 rekomendacj\u0105 dla docelowej architektury (z uwzgl\u0119dnieniem kompromisu mi\u0119dzy z\u0142o\u017cono\u015bci\u0105 obliczeniow\u0105, skalowalno\u015bci\u0105 i oczekiwan\u0105 jako\u015bci\u0105 modelu)<\/li>\n<\/ul>\n<h4>Wymagania<\/h4>\n<p>Wymagane kwalifikacje i umiej\u0119tno\u015bci kandydata:<\/p>\n<ul>\n<li>status studenta studi\u00f3w pierwszego lub drugiego stopnia w dziedzinie bioinformatyki, informatyki, biologii lub pokrewnej;<\/li>\n<li>umiej\u0119tno\u015bci programistyczne w Pythonie;<\/li>\n<li>wiedza z zakresu metagenomiki i\/lub metabolomiki uk\u0142adu pokarmowego;<\/li>\n<li>doskona\u0142e umiej\u0119tno\u015bci komunikacyjne w j\u0119zyku angielskim w mowie i pi\u015bmie.<\/li>\n<\/ul>\n<h4>Nasza oferta<\/h4>\n<p>Wynagrodzenie Magistranta wyniesie 2 500 PLN brutto miesi\u0119cznie, w oparciu o umow\u0119 na p\u00f3\u0142 etatu (20 godzin tygodniowo, 50% FTE) na okres 9 miesi\u0119cy. Stanowisko obejmuje prywatn\u0105 opiek\u0119 medyczn\u0105 oraz kart\u0119 sportow\u0105. W projekcie zak\u0142adane jest zatrudnienie dw\u00f3ch\/dwojga Magistrant\u00f3w.<\/p>\n<p>Zatrudnienie b\u0119dzie wspierane planem rozwojowym obejmuj\u0105cym udzia\u0142 w kursach oraz mi\u0119dzynarodowych konferencjach naukowych.<\/p>\n<p>Sano oferuje doskona\u0142e mo\u017cliwo\u015bci rozwoju naukowego, dost\u0119p do mi\u0119dzynarodowych konferencji z zakresu medycyny obliczeniowej oraz mo\u017cliwo\u015b\u0107 pracy w interdyscyplinarnym \u015brodowisku badawczym.<\/p>\n<h3>Pytania?<\/h3>\n<p>W razie pyta\u0144, prosimy o kontakt: <a href=\"m.golabek@sanoscience.org\">m.golabek@sanoscience.org<\/a>.<\/p>\n<h4>O Sano<\/h4>\n<p>Sano Centrum Medycyny Obliczeniowej jest now\u0105 Mi\u0119dzynarodow\u0105 Fundacj\u0105 Naukow\u0105 z siedzib\u0105 w Krakowie.<\/p>\n<p>Sano aspiruje do miana wiod\u0105cego instytutu nauki translacyjnej, dzia\u0142aj\u0105cego na styku nauki akademickiej, ugruntowanego przemys\u0142u MedTech oraz rozwijaj\u0105cego si\u0119 \u015brodowiska start-upowego, \u0142\u0105cz\u0105c najlepsze elementy tych trzech perspektyw.<\/p>\n<p>Utworzone przy wsparciu Komisji Europejskiej oraz Fundacji na rzecz Nauki Polskiej, Sano ma na celu bycie g\u0142\u00f3wn\u0105 si\u0142\u0105 nap\u0119dow\u0105 rozwoju medycyny obliczeniowej na rzecz system\u00f3w ochrony zdrowia na ca\u0142ym \u015bwiecie.<\/p>\n<p>Sano dzia\u0142a jako kluczowy dostawca technologii i ekspertyzy dla przemys\u0142u oraz tw\u00f3rca innowacji, rozwijaj\u0105c najnowocze\u015bniejsze rozwi\u0105zania dla sektora ochrony zdrowia. Dzi\u0119ki znacz\u0105cemu<br \/>\nfinansowaniu i doskona\u0142ej europejskiej sieci partnerskiej Sano wniesie mas\u0119 krytyczn\u0105 do tej transformacyjnej dziedziny bada\u0144, aby prze\u0142o\u017cy\u0107 osi\u0105gni\u0119cia naukowe na praktyk\u0119 kliniczn\u0105. Ambicj\u0105<br \/>\nSano jest stanie si\u0119 Centrum Referencyjnym Medycyny Obliczeniowej w Europie \u015arodkowej i zbudowanie reputacji wiod\u0105cego o\u015brodka na poziomie globalnym.<\/p>\n<p>Jako instytucja interdyscyplinarna Sano wykorzystuje uczenie maszynowe\/sztuczn\u0105 inteligencj\u0119 (ML\/AI), wielkoskalowe symulacje komputerowe, nauk\u0119 o danych oraz inne technologie obliczeniowe w celu pokonywania globalnych wyzwa\u0144 w systemach ochrony zdrowia. Agenda badawcza jest realizowana w \u015bcis\u0142ej wsp\u00f3\u0142pracy z Partnerami w Polsce, UE i USA.<\/p>\n<h4>Kryteria kwalifikowalno\u015bci<\/h4>\n<p>Kandydat musi by\u0107 studentem studi\u00f3w pierwszego lub drugiego stopnia i posiada\u0107 aktywny status studenta.<\/p>\n<h3>Aplikacja<\/h3>\n<p>Sano jest pracodawc\u0105 zapewniaj\u0105cym r\u00f3wne szanse. Priorytetowo traktujemy r\u00f3\u017cnorodno\u015b\u0107 i zobowi\u0105zujemy si\u0119 do tworzenia \u015brodowiska w\u0142\u0105czaj\u0105cego dla wszystkich. Cenimy ducha dociekliwo\u015bci i wytrwa\u0142o\u015bci, zapewniamy przestrze\u0144 do zadawania pyta\u0144 oraz promujemy kultur\u0119 ciekawo\u015bci i kreatywno\u015bci.<\/p>\n<p>Proces rekrutacji sk\u0142ada\u0107 si\u0119 b\u0119dzie z dw\u00f3ch rozm\u00f3w kwalifikacyjnych (rozmowy wst\u0119pnej oraz rozmowy kompetencyjnej) z Komisj\u0105 Rekrutacyjn\u0105.<\/p>\n<p>Na etap rozm\u00f3w kwalifikacyjnych zaproszeni zostan\u0105 wy\u0142\u0105cznie wybrani kandydaci.<\/p>\n<p>Aplikacje w formacie pdf powinny zawiera\u0107:<\/p>\n<ul>\n<li>list motywacyjny;<\/li>\n<li>\u017cyciorys naukowy (CV);<\/li>\n<\/ul>\n<p>Aplikuj<br \/>\n<a href=\"https:\/\/sano.elevato.net\/en\/msc-student-fnp-first-team,ja,200\">https:\/\/sano.elevato.net\/en\/msc-student-fnp-first-team,ja,200<\/a><\/p>\n<p><a href=\"https:\/\/euraxess.ec.europa.eu\/jobs\/451298\">https:\/\/euraxess.ec.europa.eu\/jobs\/451298<\/a><\/p>\n<p> <\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-26544\" src=\"https:\/\/sano.science\/wp-content\/uploads\/2025\/10\/Eurogrant-300x40.png\" alt=\"\" width=\"570\" height=\"76\" srcset=\"https:\/\/sano.science\/wp-content\/uploads\/2025\/10\/Eurogrant-300x40.png 300w, https:\/\/sano.science\/wp-content\/uploads\/2025\/10\/Eurogrant-1024x136.png 1024w, https:\/\/sano.science\/wp-content\/uploads\/2025\/10\/Eurogrant-768x102.png 768w, https:\/\/sano.science\/wp-content\/uploads\/2025\/10\/Eurogrant-1536x205.png 1536w, https:\/\/sano.science\/wp-content\/uploads\/2025\/10\/Eurogrant.png 1606w\" sizes=\"auto, (max-width: 570px) 100vw, 570px\" \/><\/p>\n"}]},"_links":{"self":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/job_offers\/31820","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/job_offers"}],"about":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/types\/job_offers"}],"version-history":[{"count":11,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/job_offers\/31820\/revisions"}],"predecessor-version":[{"id":31895,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/job_offers\/31820\/revisions\/31895"}],"wp:attachment":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/media?parent=31820"}],"wp:term":[{"taxonomy":"job_offers_category","embeddable":true,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/job_offers_category?post=31820"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}