{"data":{"id":182908,"slug":"bioinformatician-with-experience-in-edna","type":"job","title":"Junior Bioinformatician with eDNA Experience","description":"We are seeking a motivated **Junior Bioinformatician** to work with computational analysis of environmental DNA (eDNA), metagenomic sequencing data, and machine-learning approaches for biological and forensic applications.\n\n\nThe position involves analysing complex sequencing datasets to identify biological patterns and develop computational methods for classification and prediction. A particular focus will be the analysis of microbial and environmental DNA profiles and their application to geographic inference and forensic intelligence.\n\n\n## Main responsibilities\n\n\nThe successful candidate will:\n\n\n* Process and analyse environmental DNA (eDNA) and metagenomic sequencing datasets.\n* Analyse microbial and other biological community profiles generated from environmental samples.\n* Perform quality control, filtering, normalization, and feature selection of high-dimensional biological datasets.\n* Apply statistical and machine-learning approaches to classification and prediction problems.\n* Develop and evaluate computational models for geographic prediction from biological data.\n* Analyse spatial patterns in biological communities and assess relationships between biological similarity and geographic distance.\n* Evaluate model performance using appropriate validation and testing procedures.\n* Work with large reference datasets containing biological and geographic information.\n* Produce figures, tables, and statistical summaries of analytical results.\n* Document computational workflows and contribute to scientific reports, presentations, and manuscripts.\n* Work collaboratively with researchers in bioinformatics, molecular biology, environmental genomics, and forensic science.\n\n\n## Qualifications\n\n\nApplicants should have:\n\n\n* A Master's degree, or be close to completing a Master's degree, in **Bioinformatics, Computational Biology, Molecular Biology, Biotechnology**, or a closely related discipline.\n* Experience analysing DNA sequencing or other high-dimensional biological data.\n* Experience with **Python and\/or R** for data analysis.\n* Basic knowledge of machine learning and statistical modelling.\n* Experience working with biological community, microbiome, metagenomic, or environmental DNA data.\n* Ability to work with large datasets and develop reproducible computational analyses.\n* Good written and spoken English.\n* Ability to work independently while collaborating effectively within a multidisciplinary research team.\n\n\n## Meritorious qualifications\n\n\nExperience in one or more of the following is considered an advantage:\n\n\n* Environmental DNA (eDNA) or metagenomics.\n* Microbiome or microbial community analysis.\n* Machine-learning methods for classification, prediction, or geolocation.\n* Spatial analysis or geographic modelling.\n* Feature selection and dimensionality reduction for high-dimensional sequencing data.\n* Analysis of environmental or forensic biological samples.\n* Linux and command-line bioinformatics.\n* Development or evaluation of computational bioinformatics pipelines.\n\n\n## About the position\n\n\nThis is a junior position intended for a recent Master's graduate or an applicant at an equivalent early-career stage. The position provides an opportunity to work at the intersection of **bioinformatics, environmental genomics, machine learning, and forensic science**, with an emphasis on translating biological sequencing data into practical predictive tools.\n\n\nWe are looking for someone who combines strong analytical skills with curiosity, independence, and an interest in developing computational approaches to challenging biological problems.\nSSYK 2131 or 2511","language":"sv","is_translated":true,"title_original":"Bioinformatician with experience in eDNA","description_original":"About the job\nMicrodentify Sweden AB is seeking a motivated Bioinformatician to conduct computational analyses of environmental DNA (eDNA), metagenomic sequencing data, and machine-learning approaches for biological and forensic applications.\nThe position involves analyzing sequencing datasets to identify biological patterns and develop computational methods for classification and prediction. A particular focus will be on analyzing biological and environmental DNA profiles and applying them to geographical inference and forensic intelligence.\nMain responsibilities\nThe successful candidate will:\n\u00b7       Process and analyze environmental DNA (eDNA) and metagenomic sequencing datasets.\n\u00b7 Analyze biological community profiles generated from environmental samples.\n\u00b7       Perform quality control, filtering, normalization, and feature selection of high-dimensional biological datasets.\n\u00b7       Apply statistical and machine-learning approaches to classification and prediction problems.\n\u00b7       Develop and evaluate computational models for geographic prediction from biological data.\n\u00b7 Analyze spatial patterns in biological communities and assess relationships between biological similarity and geographic distance.\n\u00b7       Evaluate model performance using appropriate validation and testing procedures.\n\u00b7       Work with large reference datasets containing biological and geographic information.\n\u00b7       Produce figures, tables, and statistical summaries of analytical results.\n\u00b7       Document computational workflows and contribute to scientific reports, presentations, and manuscripts.\n\u00b7       Work collaboratively with researchers in bioinformatics, molecular biology, environmental genomics, and forensic science.\nQualifications\nApplicants should have:\n\u00b7       An MSc or PhD degree in Bioinformatics, Computational Biology, Molecular Biology, Biotechnology, or a closely related discipline.\n\u00b7       Experience analyzing DNA sequencing or other high-dimensional biological data.\n\u00b7       Experience with Python and\/or R for data analysis.\n\u00b7       Knowledge of machine learning and statistical modeling.\n\u00b7       Experience working with biological community, microbiome, metagenomic, or environmental DNA data.\n\u00b7       Ability to work with large datasets and develop reproducible computational analyses.\n\u00b7       Good written and spoken English.\n\u00b7       Ability to work independently while collaborating effectively within a multidisciplinary research team.\nMeritorious qualifications\nExperience in one or more of the following is considered an advantage:\n\u00b7       Environmental DNA (eDNA) or metagenomics.\n\u00b7       Microbiome or microbial community analysis.\n\u00b7       Machine-learning methods for classification, prediction, or geolocation.\n\u00b7       Spatial analysis or geographic modeling.\n\u00b7       Feature selection and dimensionality reduction for high-dimensional sequencing data.\n\u00b7       Analysis of environmental or forensic biological samples.\n\u00b7       Linux and command-line bioinformatics.\n\u00b7       Development or evaluation of computational bioinformatics pipelines.\n\u00b7       Experience with workflow management systems such as Nextflow or Snakemake.\n\u00b7       Experience with Git\/GitHub and reproducible software development.\nAbout the position\nThis position offers the opportunity to work at the intersection of bioinformatics, environmental genomics, machine learning, and forensic science, with an emphasis on developing computational approaches to analyze biological sequencing data and build practical predictive tools.\nWe are looking for someone who combines strong analytical skills with curiosity, independence, and an interest in developing computational approaches to challenging biological problems.\nAbout Microdentify\nMicrodentify Sweden AB develops computational and biological approaches for applications involving microbial and environmental data. The company combines bioinformatics, computational methods, data analysis, and biological research to develop practical solutions for complex biological problems.\nApplicants should submit.\nCV\nCover letter\nTranscripts\nDiploma\nProof of work with microbiome, metagenomic, or environmental DNA data","price":null,"currency":"SEK","status":"active","noindex":true,"location":{"address":"JAKTHORNSGR\u00c4NDEN 30","full_address":null,"city":"LUND","country":"SE","latitude":55.725231593789,"longitude":13.172329470867},"metadata":{"region":"Sk\u00e5ne l\u00e4n","duration":"Tills vidare","employer":"Microdentify Sweden AB","postcode":"22638","positions":1,"profession":"Forskare, genetik","salary_type":"Fast m\u00e5nads- vecko- eller timl\u00f6n","employer_url":"https:\/\/microdentify.com\/","scope_of_work":"100\u2013100 %","working_hours":"Heltid","employment_type":"full_time","occupation_field":"Naturvetenskap","employer_workplace":"Microdentify Sweden AB","experience_required":true,"employment_type_label":"Tillsvidareanst\u00e4llning (inkl. eventuell provanst\u00e4llning)"},"user_id":null,"is_sponsored":false,"views_count":1,"ai_views_count":3,"ai_vendor_counts":{"other":1,"anthropic":2},"visibility":"public","submission_source":null,"submission_ai_name":null,"has_owner_email":true,"can_contact_owner":true,"phone":null,"owner_email":"eran.elhaik@microdentify.com","images":[],"published_at":"2026-09-01T15:26:55+00:00","expires_at":"2026-09-11T23:59:59+00:00","created_at":"2026-09-02T03:18:11+00:00","updated_at":"2026-09-04T03:21:03+00:00"}}