{"data":{"id":149568,"slug":"bioinformatiker-i-klinisk-genetik","type":"job","title":"Bioinformatician in Clinical Genetics","description":"Lund University was founded in 1666 and is consistently ranked as one of the world's leading academic institutions. We have approximately 46,000 students and 8,500 employees at our campuses in Lund, Helsingborg, and Malm\u00f6. We are united in our mission to understand, explain, and improve our world and people's circumstances.\nWorkplace Description\nAt the Department of Clinical Genetics, Institute of Laboratory Medicine, we are seeking a bioinformatician to develop classification algorithms for gene expression data in the blood cancer field. The project focuses on developing and evaluating classification algorithms based on large datasets from RNA sequencing of blood cancer cells, with the aim of improving clinical diagnostics.\nThe research group is led by Professor Thoas Fioretos and consists of approximately ten employees with expertise in gene expression analysis, single-cell analysis, bioinformatics, and functional and mechanistic studies of blood cancer. The group is international, works interdisciplinarily, and has established collaborations with other research groups, healthcare services, and the life science industry.\nWe are now seeking a bioinformatician with excellent knowledge of machine learning and statistical analysis, as well as documented experience working with gene expression data in the blood cancer field. The work will be conducted both independently and in close collaboration with other team members, including bioinformaticians and doctoral students.\nAs a workplace, we prioritize a good work environment characterized by respect, care, and an open collaborative climate.\nWhat We Offer\nLund University is a state authority, which means you will receive special benefits, generous vacation, and advantageous pension contributions. We also have a flexible working hours agreement that creates good conditions for balancing work and leisure.\nRead more on the university website about working at Lund University, \"Working with us.\"\nDuties and Responsibilities\nYou will join a team of bioinformaticians and doctoral students developing methods to improve clinical diagnostics of blood cancer through analysis of gene expression data. Your responsibilities will include developing bioinformatic analysis tools, applying and further developing machine learning-based classification algorithms, and evaluating whether neural networks can improve classification. Since the research is data-driven, the work may also include development and application of other bioinformatic, mathematical, and statistical methods.\nQualifications\nRequirements for employment:\nDoctoral degree in bioinformatics, computer science, physics, mathematics, or other relevant technical or natural science field\nExcellent knowledge and documented experience in programming, data analysis, statistical modeling, and machine learning\nDocumented experience developing and evaluating machine learning models based on gene expression data or other high-dimensional biological data in the blood cancer field\nExcellent ability and documented experience working independently and in interdisciplinary teams with multiple collaborators\nExcellent ability to communicate in Swedish and English, both orally and in writing\n\nDesirable qualifications for employment:\nExperience with Python-based machine learning tools and methods for model optimization, validation, and explainable machine learning\nExperience developing or evaluating neural networks for classification of biological or clinical data\nExperience working in teams within a larger interdisciplinary research group, as well as authoring scientific texts and presenting scientific results.\n\nOther Information\nThe position is a special fixed-term employment (S\u00c4VA) on a part-time basis (50%) for 12 months with a desired start date of September 1, 2026, or by agreement.\nHow to Apply\nThe position is filled through the university's recruitment system. Your application should include a personal letter explaining your interest in the position and how it matches your qualifications. The application should also include a CV, diploma or equivalent, and any other materials you wish to provide (copies of transcripts, references, recommendation letters, etc.)\nThe university applies individual salary setting. Please indicate your salary expectations in your application.\nThe Faculty of Medicine is an area of activity within Lund University, responsible for education and research in medicine, healthcare, and health. Education takes place in close collaboration with healthcare services and is well-grounded in the faculty's strong research tradition. The faculty's research spans a broad field encompassing experimental basic research, patient-centered clinical research, and health science research. The Faculty of Medicine, with over 1,800 employees and 3,000 students in Lund, Malm\u00f6, and Helsingborg, is a knowledge-intensive meeting place for students, teachers, and researchers from around the world.\nThe Institute of Laboratory Medicine (ILM) is one of six institutes within the Faculty of Medicine. We conduct leading research in the laboratory medicine field with a focus on how diseases develop and how we can improve patient diagnostics and treatment. Some of our strongest research areas with world-class research involve cancer, genetics, and blood research.\nWe decline all contact from advertising sales, recruitment, and staffing companies due to government procurement regulations.","language":"sv","is_translated":true,"title_original":"Bioinformatiker i klinisk genetik","description_original":"Lunds universitet grundades 1666 och rankas \u00e5terkommande som ett av v\u00e4rldens fr\u00e4msta l\u00e4ros\u00e4ten. H\u00e4r finns omkring 46 000 studenter och 8 500 medarbetare i Lund, Helsingborg och Malm\u00f6. Vi f\u00f6renas i v\u00e5r str\u00e4van att f\u00f6rst\u00e5, f\u00f6rklara och f\u00f6rb\u00e4ttra v\u00e5r v\u00e4rld och m\u00e4nniskors villkor.\nBeskrivning av arbetsplatsen\nVid Avdelningen f\u00f6r klinisk genetik, Institutionen f\u00f6r laboratoriemedicin, s\u00f6ker vi en bioinformatiker som ska arbeta med att utveckla klassificeringsalgoritmer f\u00f6r genuttrycksdata inom blodcanceromr\u00e5det. Projektet fokuserar p\u00e5 att utveckla och utv\u00e4rdera klassificeringsalgoritmer baserade p\u00e5 stora datam\u00e4ngder fr\u00e5n RNA-sekvensering av blodcancerceller, med syfte att f\u00f6rb\u00e4ttra den kliniska diagnostiken.\nForskargruppen leds av professor Thoas Fioretos och best\u00e5r av cirka tio medarbetare med expertis inom genuttrycksanalys, singelcellsanalys, bioinformatik samt funktionella och mekanistiska studier av blodcancer. Gruppen \u00e4r internationell, arbetar tv\u00e4rvetenskapligt och har etablerade samarbeten med andra forskargrupper, h\u00e4lso- och sjukv\u00e5rden samt life science-industrin.\nVi s\u00f6ker nu en bioinformatiker med mycket goda kunskaper inom maskininl\u00e4rning och statistisk analys samt dokumenterad erfarenhet av att arbeta med genuttrycksdata inom blodcanceromr\u00e5det. Arbetet bedrivs b\u00e5de sj\u00e4lvst\u00e4ndigt och i n\u00e4ra samarbete med gruppens \u00f6vriga medarbetare, d\u00e4ribland bioinformatiker och doktorander.\nSom arbetsplats v\u00e4rnar vi om en god arbetsmilj\u00f6 pr\u00e4glad av respekt, omtanke och ett \u00f6ppet samarbetsklimat.\nVi erbjuder\nLunds universitet \u00e4r en statlig myndighet vilket inneb\u00e4r att du f\u00e5r s\u00e4rskilda f\u00f6rm\u00e5ner, gener\u00f6s semester och en f\u00f6rm\u00e5nlig tj\u00e4nstepension. Vi har \u00e4ven ett flextidsavtal som skapar goda f\u00f6ruts\u00e4ttningar f\u00f6r balans mellan arbete och fritid.\nL\u00e4s mer p\u00e5 universitetets webbplats om att vara anst\u00e4lld vid Lunds universitet, Jobba hos oss.\nArbetsuppgifter och ansvarsomr\u00e5den \nDu kommer att ing\u00e5 i ett team av bioinformatiker och doktorander som utvecklar metoder f\u00f6r att f\u00f6rb\u00e4ttra den kliniska diagnostiken av blodcancer genom analys av genuttrycksdata. I arbetsuppgifterna ing\u00e5r att utveckla bioinformatiska analysverktyg, till\u00e4mpa och vidareutveckla maskininl\u00e4rningsbaserade klassificeringsalgoritmer samt utv\u00e4rdera om neurala n\u00e4tverk kan f\u00f6rb\u00e4ttra klassificeringen. Eftersom forskningen \u00e4r datadriven kan arbetet \u00e4ven innefatta utveckling och till\u00e4mpning av andra bioinformatiska, matematiska och statistiska metoder.\nKvalifikationer\nKrav f\u00f6r anst\u00e4llningen \u00e4r:\nDoktorsexamen inom bioinformatik, datavetenskap, fysik, matematik eller annat relevant tekniskt eller naturvetenskapligt omr\u00e5de\nMycket goda kunskaper och dokumenterad erfarenhet av programmering, dataanalys, statistisk modellering och maskininl\u00e4rning\nDokumenterad erfarenhet av att utveckla och utv\u00e4rdera maskininl\u00e4rningsmodeller baserade p\u00e5 genuttrycksdata eller andra h\u00f6gdimensionella biologiska data inom blodcanceromr\u00e5det\nMycket god f\u00f6rm\u00e5ga och dokumenterad erfarenhet av att arbeta sj\u00e4lvst\u00e4ndigt samt i tv\u00e4rvetenskapliga team med flera samarbetspartner\nMycket god f\u00f6rm\u00e5ga att kommunicera p\u00e5 svenska och engelska i tal och skrift\n\nMeriterande f\u00f6r anst\u00e4llningen \u00e4r:\nErfarenhet av Pythonbaserade verktyg f\u00f6r maskininl\u00e4rning samt metoder f\u00f6r modelloptimering, validering och f\u00f6rklarbar maskininl\u00e4rning\nErfarenhet av att utveckla eller utv\u00e4rdera neurala n\u00e4tverk f\u00f6r klassificering av biologiska eller kliniska data\nErfarenhet av teambaserat arbete i en st\u00f6rre tv\u00e4rvetenskaplig forskargrupp samt av att f\u00f6rfatta vetenskapliga texter och presentera vetenskapliga resultat.\n\n\u00d6vrigt\nAnst\u00e4llningen \u00e4r en S\u00e4rskild visstidsanst\u00e4llning (S\u00c4VA) p\u00e5 deltid (50%) i 12 m\u00e5nader med \u00f6nskat startdatum den 2026-09-01, eller enligt \u00f6verenskommelse.\nS\u00e5 h\u00e4r s\u00f6ker du\nAnst\u00e4llningen s\u00f6ks via universitetets rekryteringssystem. Ans\u00f6kan ska inneh\u00e5lla ett personligt brev med motivering till varf\u00f6r du \u00e4r intresserad av anst\u00e4llningen och p\u00e5 vilket s\u00e4tt anst\u00e4llningen matchar dina meriter. Ans\u00f6kan ska \u00e4ven inneh\u00e5lla CV, examensbevis eller motsvarande samt \u00f6vrigt som du \u00f6nskar \u00e5beropa (kopior av betyg, uppgifter till referenser, rekommendationsbrev etc.)\nUniversitetet till\u00e4mpar individuell l\u00f6nes\u00e4ttning. Ange g\u00e4rna l\u00f6neanspr\u00e5k i din ans\u00f6kan.\nMedicinska fakulteten \u00e4r ett verksamhetsomr\u00e5de inom Lunds universitet, med ansvar f\u00f6r utbildning och forskning inom medicin, v\u00e5rd och h\u00e4lsa. Utbildningen sker i n\u00e4ra samverkan med sjukv\u00e5rden och \u00e4r v\u00e4l f\u00f6rankrad i fakultetens starka forskningstradition. Fakultetens forskning sp\u00e4nner \u00f6ver ett brett f\u00e4lt inom experimentell grundforskning, patientn\u00e4ra klinisk forskning och h\u00e4lsovetenskaplig forskning. Medicinska fakulteten, med drygt 1800 anst\u00e4llda och 3000 studenter i Lund, Malm\u00f6 och Helsingborg, \u00e4r en kunskapsintensiv m\u00f6tesplats f\u00f6r studenter, l\u00e4rare och forskare fr\u00e5n hela v\u00e4rlden.\nInstitutionen f\u00f6r laboratoriemedicin (ILM) \u00e4r en av sex institutioner vid Medicinska fakulteten. Vi bedriver ledande forskning inom det laboratoriemedicinska f\u00e4ltet med fokus p\u00e5 hur sjukdomar uppkommer och hur vi kan f\u00f6rb\u00e4ttra patienters diagnostik och behandling. N\u00e5gra av v\u00e5ra starkaste omr\u00e5den med forskning i v\u00e4rldsklass, handlar om cancer-, genetik- och blodforskning.\nVi undanber oss alla kontakter fr\u00e5n annonsf\u00f6rs\u00e4ljare, rekryterings- och bemanningsf\u00f6retag p\u00e5 grund av statliga upphandlingsregler.","price":null,"currency":"SEK","status":"active","noindex":false,"location":{"address":"BMC F13","full_address":null,"city":"Lund","country":"SE","latitude":55.7205201,"longitude":13.1642678},"metadata":{"region":"Sk\u00e5ne l\u00e4n","duration":"6 m\u00e5nader eller l\u00e4ngre","employer":"LUNDS UNIVERSITET","postcode":"22184","positions":1,"profession":"Forskarassistent","salary_type":"Fast m\u00e5nads- vecko- eller timl\u00f6n","employer_url":"https:\/\/www.lu.se\/vacancies","scope_of_work":"0\u2013100 %","working_hours":"Deltid","contact_person":"Thoas Fioretos","employment_type":"Vanlig anst\u00e4llning","occupation_field":"Pedagogik","employer_workplace":"Lunds universitet","experience_required":true},"user_id":null,"is_sponsored":false,"views_count":1,"ai_views_count":4,"ai_vendor_counts":{"openai":2,"anthropic":2},"visibility":"public","submission_source":null,"submission_ai_name":null,"has_owner_email":true,"can_contact_owner":true,"phone":"+46462224595","owner_email":"thoas.fioretos@med.lu.se","images":[],"published_at":"2026-08-11T14:16:34+00:00","expires_at":"2026-08-25T23:59:59+00:00","created_at":"2026-08-15T03:17:17+00:00","updated_at":"2026-08-19T02:49:14+00:00"}}