{"data":{"id":162760,"slug":"postdoktor-inom-multi-omik-och-maskininlarning","type":"job","title":"Postdoctoral Researcher in Multi-Omics and Machine Learning","description":"Would you like to work in one of the world's fastest-growing technology areas, supported by competent and friendly colleagues in an international environment? Would you like an employer that invests in sustainable employment practices and offers secure, favorable working conditions? Welcome to apply for a postdoctoral position at Uppsala University.\nThe Department of Medical Sciences is a large clinical institution with approximately 250 employees and over 900 people affiliated through Akademiska Hospital. The department has a broad research profile with strong research groups in numerous areas. Learn more about the department's activities at www.medsci.uu.se.\nWe are now seeking a driven researcher at the postdoctoral level for the Molecular Precision Medicine research group at the Department of Medical Sciences, which is active at the Biomedical Center (BMC).\nThe research group studies various diseases using large-scale genetic methods https:\/\/www.uu.se\/en\/department\/medical-sciences\/research\/research-groups\/molecular-precision-medicine. Through close collaboration with clinical researchers at Akademiska Hospital in Uppsala, our research group has access to unique sample collections and clinical patient information. Close collaboration with the national genomics infrastructure (National Genomics Infrastructure, NGI) at Science for Life Laboratory (SciLifeLab) provides the research group with access to next-generation sequencing technology: https:\/\/ngisweden.scilifelab.se\/.\nThe current project focuses on analyzing blood samples from children with leukemia, healthy controls, and in vitro cell models using various omics technologies. The overall goal is to take the step toward precision medicine in childhood leukemia. We aim to identify circulating biomarkers that can distinguish high-risk patients from low-risk patients. With this strategy, we want to be able to shorten chemotherapy treatment for low-risk patients while targeting treatment more specifically to the high-risk group. We will also conduct drug screens for targeted therapies, testing promising new drugs that are in preclinical and early clinical trials.\nFinanced by the transnational European Partnership for Personalised Medicine (EP PerMed), this project is a close collaboration with leading research groups in pediatric hematology at the University of Freiburg and Technical University of Munich in Germany and the University of Tampere in Finland. As a postdoctoral researcher on this project, you will have a key role in integrating and analyzing multi-omics data within the consortium to deepen understanding of childhood leukemia at the molecular level and contribute to the development of new treatment strategies.\nYou will be part of Uppsala University's Molecular Precision Medicine research group, where research focuses on both the development of new genomics techniques and their application to clinically relevant questions in pediatric oncology.\nDuties\nAnalyze multi-omics data from pediatric leukemia samples and in vitro models, including genomics (WGS), transcriptomics (bulk and scRNA-seq), epigenomics (methylation arrays), and proteomics (Olink Explore PEA, Illumina SomaSeq) data.\nDevelop and apply machine learning models to identify disease subtypes and predict treatment response.\nCollaborate with pediatric oncologists, bioinformaticians, and computational biologists, both within the research group and with our international collaborators.\nWrite scientific articles and present project results at scientific meetings and conferences.\n\nQualifications\nPhD in bioinformatics, computational biology, molecular biology, or a related field, or a foreign degree assessed as equivalent to a PhD in one of these areas. The degree must be completed by the time of the employment decision. Preferably, the degree should have been completed no more than three years ago. When calculating the three-year period, the deadline for applications is the starting point. If there are special circumstances, such a degree may have been completed earlier. Special circumstances include leave due to illness, parental leave, positions of trust within labor organizations, etc.\nExperience with large-scale data analysis and programming in relevant languages such as Python and R.\nExperience handling large datasets in a LINUX\/UNIX environment.\nExperience with large-scale DNA or RNA sequencing.\nExperience analyzing proteomics data, including data from affinity-based proteomics analyses and\/or mass spectrometry.\nExcellent communication and collaboration skills.\nGood oral and written proficiency in English.\n\nDesirable\/Meriting Additional Qualifications\nExperience integrating multi-omics data.\nCompetence in machine learning for biomedical applications.\n\nAbout the Position\nThe employment is time-limited for two years according to central collective agreement, with possible extension for up to an additional year. Full-time\/100%. Start date October 1 or by agreement. Location: Uppsala.\nInformation about the position is provided by: Jessica Nordlund (jessica.nordlund@medsci.uu.se)\nWelcome to submit your application by September 9, 2026, UFV-PA 2026\/2468.\nUppsala University is a broad research university with a strong international position. The ultimate goal is to conduct education and research of the highest quality and relevance to make a difference in society. Our greatest asset is all 7,500 employees and 53,000 students who, with curiosity and commitment, make Uppsala University one of the country's most exciting workplaces.\nLearn more about our benefits and what it is like to work at Uppsala University\nhttps:\/\/uu.se\/om-uu\/jobba-hos-oss\/\nThe employment may be subject to security vetting. Security vetting is a requirement for employment; applicants must be approved.\nWe decline offers of recruitment and advertising assistance.\nApplications are received through Uppsala University's recruitment system.\nLabor representatives: Saco-S - saco-s@uu.se, Seko - seko@uadm.uu.se, ST (OFR\/S) - ofr@uu.se","language":"sv","is_translated":true,"title_original":"Postdoktor inom multi-omik och maskininl\u00e4rning","description_original":"Vill du arbeta inom ett av v\u00e4rldens snabbast v\u00e4xande teknologiomr\u00e5den, med st\u00f6d av kompetenta och trevliga kollegor i en internationell milj\u00f6? Vill du ha en arbetsgivare som satsar p\u00e5 ett h\u00e5llbart medarbetarskap och erbjuder trygga, f\u00f6rm\u00e5nliga arbetsvillkor? V\u00e4lkommen att s\u00f6ka anst\u00e4llning som postdoktor p\u00e5 Uppsala universitet.\nInstitutionen f\u00f6r medicinska vetenskaper \u00e4r en stor klinisk institution med ca 250 anst\u00e4llda och \u00f6ver 900 personer som \u00e4r anknutna via Akademiska Sjukhuset. Institutionen har en bred forskningsprofil med starka forskargrupper inom en rad omr\u00e5den. Mer om institutionens verksamhet finns p\u00e5 www.medsci.uu.se.\nVi s\u00f6ker nu en driven forskare p\u00e5 postdoktorniv\u00e5 till forskargruppen f\u00f6r molekyl\u00e4r precisionsmedicin vid institutionen f\u00f6r medicinska vetenskaper som \u00e4r verksam vid Biomedicinskt Centrum (BMC).\nForskargruppen studerar olika sjukdomar med hj\u00e4lp av storskaliga genetiska metoder https:\/\/www.uu.se\/en\/department\/medical-sciences\/research\/research-groups\/molecular-precision-medicine. Genom n\u00e4ra samarbete med kliniska forskare vid Akademiska sjukhuset i Uppsala har v\u00e5r forskargrupp tillg\u00e5ng till unika provsamlingar och klinisk patientinformation. Ett n\u00e4ra samarbete med den nationella infrastrukturen f\u00f6r genomik (National Genomics Infrastructure, NGI) vid Science for Life Laboratory (SciLifeLab), ger forskargruppen tillg\u00e5ng till n\u00e4sta generationens sekvenseringsteknologi: https:\/\/ngisweden.scilifelab.se\/.\nDet aktuella projektet fokuserar p\u00e5 analys av blodprover fr\u00e5n barn med leukemi, friska kontroller och in vitro-cellmodeller med hj\u00e4lp av olika omik-tekniker. Det \u00f6vergripande m\u00e5let \u00e4r att ta steget mot precisionsmedicin inom barnleukemi. Vi str\u00e4var efter att identifiera cirkulerande biomark\u00f6rer som kan s\u00e4rskilja h\u00f6griskpatienter fr\u00e5n patienter med l\u00e5g risk. Med denna strategi vill vi kunna f\u00f6rkorta kemoterapibehandlingen f\u00f6r l\u00e5griskpatienter, samtidigt som vi riktar behandlingen mer specifikt mot h\u00f6griskgruppen. Vi kommer \u00e4ven att genomf\u00f6ra l\u00e4kemedelsscreeningar f\u00f6r riktade terapier, d\u00e4r vi testar lovande nya l\u00e4kemedel som befinner sig i prekliniska och tidiga kliniska pr\u00f6vningar.\nFinansierat av det transnationella European Partnership for Personalised Medicine (EP PerMed) \u00e4r detta projekt ett n\u00e4ra samarbete med ledande forskargrupper inom barnhematologi vid University of Freiburg och Technical University of Munich i Tyskland samt University of Tampere i Finland. Som postdoktor i projektet kommer du att ha en nyckelroll i att integrera och analysera multiomik-data inom konsortiet f\u00f6r att f\u00f6rdjupa f\u00f6rst\u00e5elsen av barnleukemi p\u00e5 molekyl\u00e4r niv\u00e5 och bidra till utvecklingen av nya behandlingsstrategier.\nDu kommer att ing\u00e5 i Uppsala universitets forskargrupp f\u00f6r molekyl\u00e4r precisionsmedicin, d\u00e4r forskning fokuserar p\u00e5 b\u00e5de utveckling av nya genomiktekniker och till\u00e4mpningen av dessa f\u00f6r kliniskt relevanta fr\u00e5gor inom pediatrisk onkologi.\nArbetsuppgifter\u00a0 \nAnalysera multiomik-data fr\u00e5n pediatriska leukemiprover och in vitro-modeller, inklusive genomik (WGS), transkriptomik (bulk och scRNA-seq), epigenomik (metyleringsarrayer) och proteomik (Olink Explore PEA, Illumina SomaSeq) data.\nUtveckla och till\u00e4mpa maskininl\u00e4rningsmodeller f\u00f6r att identifiera sjukdomssubtyper och f\u00f6ruts\u00e4ga behandlingssvar.\nSamarbeta med barnonkologer, bioinformatiker och ber\u00e4kningsbiologer, b\u00e5de inom forskargruppen och med v\u00e5ra internationella samarbetspartners.\nF\u00f6rfatta vetenskapliga artiklar och presentera projektets resultat p\u00e5 vetenskapliga m\u00f6ten och konferenser.\n\nKvalifikationskrav\nDoktorsexamen i bioinformatik, ber\u00e4kningsbiologi, molekyl\u00e4rbiologi eller ett n\u00e4rliggande omr\u00e5de, eller en utl\u00e4ndsk examen som bed\u00f6ms motsvara doktorsexamen inom n\u00e5got av dessa omr\u00e5den. Examen ska vara uppfylld senast vid tidpunkten f\u00f6r anst\u00e4llningsbeslutet. Fr\u00e4mst b\u00f6r den komma ifr\u00e5ga som har avlagt examen f\u00f6r h\u00f6gst tre \u00e5r sedan. Vid ber\u00e4kning av ramtiden om tre \u00e5r \u00e4r utg\u00e5ngspunkten sista ans\u00f6kningsdag. Om det finns s\u00e4rskilda sk\u00e4l kan s\u00e5dan examen ha avlagts tidigare. Med s\u00e4rskilda sk\u00e4l avses ledighet p\u00e5 grund av sjukdom, f\u00f6r\u00e4ldraledighet, f\u00f6rtroendeuppdrag inom fackliga organisationer, etc.\nErfarenhet av storskalig dataanalys och programmering i relevanta spr\u00e5k som Python och R.\nVana vid att hantera stora dataset i LINUX\/UNIX-milj\u00f6.\nErfarenhet av storskalig DNA- eller RNA-sekvensering.\nErfarenhet av analys av proteomikdata, inklusive data fr\u00e5n affinitetsbaserade proteomikanalyser och\/eller masspektrometri.\nUtm\u00e4rkta kommunikations- och samarbetsf\u00f6rm\u00e5gor.\nGoda muntliga och skriftliga kunskaper i engelska.\n\n\u00d6nskv\u00e4rt\/meriterande i \u00f6vrigt\nErfarenhet av integrering av multi-omikdata.\nKompetens inom maskininl\u00e4rning f\u00f6r biomedicinska till\u00e4mpningar.\n\nOm anst\u00e4llningen\u00a0\nAnst\u00e4llningen \u00e4r tidsbegr\u00e4nsad i tv\u00e5 \u00e5r enligt centralt kollektivavtal, med eventuell m\u00f6jlighet till f\u00f6rl\u00e4ngning ytterligare h\u00f6gst ett \u00e5r. Omfattningen \u00e4r heltid\/100 %. Tilltr\u00e4de 1 oktober eller enligt \u00f6verenskommelse. Placeringsort: Uppsala.\nUpplysningar\u00a0om anst\u00e4llningen l\u00e4mnas av: Jessica Nordlund (jessica.nordlund@medsci.uu.se)\nV\u00e4lkommen med din ans\u00f6kan senast den 9e september 2026, UFV-PA 2026\/2468.\nUppsala universitet \u00e4r ett brett forskningsuniversitet med stark internationell st\u00e4llning. Det yttersta m\u00e5let \u00e4r att bedriva utbildning och forskning av h\u00f6gsta kvalitet och relevans f\u00f6r att g\u00f6ra skillnad i samh\u00e4llet. V\u00e5r viktigaste tillg\u00e5ng \u00e4r alla 7 500 anst\u00e4llda och 53 000 studenter som med nyfikenhet och engagemang g\u00f6r Uppsala universitet till en av landets mest sp\u00e4nnande arbetsplatser.\nL\u00e4s mer om v\u00e5ra f\u00f6rm\u00e5ner och hur det \u00e4r att jobba inom Uppsala universitet\nhttps:\/\/uu.se\/om-uu\/jobba-hos-oss\/\nAnst\u00e4llningen kan komma att s\u00e4kerhetspr\u00f6vas. Vid s\u00e4kerhetspr\u00f6vning \u00e4r en f\u00f6ruts\u00e4ttning f\u00f6r anst\u00e4llning att s\u00f6kande blir godk\u00e4nd.\nVi undanber oss erbjudanden om rekryterings- och annonseringshj\u00e4lp.\nAns\u00f6kan tas emot i Uppsala universitets rekryteringssystem.\nFackliga f\u00f6retr\u00e4dare: Saco-S - saco-s@uu.se, Seko - seko@uadm.uu.se, ST (OFR\/S) - ofr@uu.se","price":null,"currency":"SEK","status":"active","noindex":false,"location":{"address":"Box 256","full_address":null,"city":"Uppsala","country":"SE","latitude":59.8520701,"longitude":17.7188369},"metadata":{"region":"Uppsala l\u00e4n","duration":"6 m\u00e5nader eller l\u00e4ngre","employer":"UPPSALA UNIVERSITET","postcode":"75105","positions":1,"profession":"Postdoktor\/Postdoc","salary_type":"Fast m\u00e5nads- vecko- eller timl\u00f6n","employer_url":"http:\/\/www.uu.se\/jobb\/","scope_of_work":"100\u2013100 %","working_hours":"Heltid","contact_person":"Jessica Nordlund","employment_type":"Vanlig anst\u00e4llning","occupation_field":"Pedagogik","employer_workplace":"Uppsala universitet, Institutionen f\u00f6r medicinska vetenskaper","translation_status":"done","experience_required":true},"user_id":null,"is_sponsored":false,"views_count":0,"ai_views_count":1,"ai_vendor_counts":{"anthropic":1},"visibility":"public","submission_source":null,"submission_ai_name":null,"has_owner_email":true,"can_contact_owner":true,"phone":null,"owner_email":"jessica.nordlund@medsci.uu.se","images":[],"published_at":"2026-08-19T10:27:52+00:00","expires_at":"2026-09-09T23:59:59+00:00","created_at":"2026-08-20T03:05:40+00:00","updated_at":"2026-08-20T04:00:20+00:00"}}