Bioinformatician with experience in eDNA
Microdentify Sweden ABSammanfattning
Microdentify Sweden AB is looking for a Bioinformatician or Computational Biologist to analyze environmental DNA (eDNA) and metagenomic sequencing data. The role involves developing computational methods for classification and prediction, building pipelines, and applying machine-learning techniques for biological and forensic applications. This position is ideal for candidates with a strong background in bioinformatics and a passion for solving complex biological problems through data analysis.Jobbet i korthet
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Opportunity to work at the intersection of bioinformatics, environmental genomics, machine learning, and forensic science.Focus on developing computational approaches to analyze biological sequencing data and build predictive tools.
Ansök senast: 2026-10-14
Publicerad: 2026-09-14
Beskrivning
About the job
Microdentify Sweden AB (https://microdentify.com/) is seeking a motivated Bioinformatician or Computational Biologist to conduct computational analyses of environmental DNA (eDNA), metagenomic sequencing data, and machine-learning approaches for biological and forensic applications.
The position involves analyzing sequencing datasets to identify biological patterns, develop computational methods for classification and prediction, build pipelines, and develop software to deliver results. The role focuses on analyzing biological and environmental DNA profiles and applying them to geographic inference and forensic intelligence.
Main responsibilities
The successful candidate will:
• Process and analyze environmental DNA (eDNA) and metagenomic sequencing datasets.
• Analyze biological community profiles generated from environmental samples.
• Perform quality control, filtering, normalization, and feature selection of high-dimensional biological datasets.
• Apply statistical and machine-learning approaches to classification and prediction problems.
• Develop and evaluate computational models for geographic prediction from biological data.
• Analyze spatial patterns in biological communities and assess relationships between biological similarity and geographic distance.
• Evaluate model performance using appropriate validation and testing procedures.
• Work with large reference datasets containing biological and geographic information.
• Produce figures, tables, and statistical summaries of analytical results.
• Document computational workflows and contributions to scientific reports, presentations, and manuscripts.
• Work collaboratively with researchers in bioinformatics, molecular biology, environmental genomics, and forensic science.
Qualifications
Applicants should have:
• An MSc or PhD degree in Bioinformatics, Computational Biology, Molecular Biology, Biotechnology, or a closely related discipline.
• Experience analyzing DNA sequencing or other high-dimensional biological data.
• Experience with Python and/or R for data analysis.
• Experience with machine learning and statistical modeling.
• Experience working with biological community, microbiome, metagenomic, or environmental DNA data.
• Ability to work with large datasets and develop reproducible computational analyses.
• Good written and spoken English.
• Ability to work independently while collaborating effectively within a multidisciplinary research team.
Meritorious qualifications
Experience in one or more of the following is considered an advantage:
• Environmental DNA (eDNA) or metagenomics.
• Microbiome or microbial community analysis.
• Machine-learning methods for classification, prediction, or geolocation.
• Spatial analysis or geographic modeling.
• Feature selection and dimensionality reduction for high-dimensional sequencing data.
• Analysis of environmental or forensic biological samples.
• Linux and command-line bioinformatics.
• Development or evaluation of computational bioinformatics pipelines.
• Experience with workflow management systems such as Nextflow or Snakemake.
• Experience with Git/GitHub and reproducible software development.
About the position
This 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.
We are looking for someone who combines strong analytical skills with curiosity, independence, and an interest in developing computational approaches to challenging biological problems.
About Microdentify
Microdentify Sweden AB is a startup that 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.
Applicants should submit.
Cover letter
CV
Transcripts
Diploma
Proof of work with microbiome, metagenomic, or environmental DNA data
Microdentify Sweden AB (https://microdentify.com/) is seeking a motivated Bioinformatician or Computational Biologist to conduct computational analyses of environmental DNA (eDNA), metagenomic sequencing data, and machine-learning approaches for biological and forensic applications.
The position involves analyzing sequencing datasets to identify biological patterns, develop computational methods for classification and prediction, build pipelines, and develop software to deliver results. The role focuses on analyzing biological and environmental DNA profiles and applying them to geographic inference and forensic intelligence.
Main responsibilities
The successful candidate will:
• Process and analyze environmental DNA (eDNA) and metagenomic sequencing datasets.
• Analyze biological community profiles generated from environmental samples.
• Perform quality control, filtering, normalization, and feature selection of high-dimensional biological datasets.
• Apply statistical and machine-learning approaches to classification and prediction problems.
• Develop and evaluate computational models for geographic prediction from biological data.
• Analyze spatial patterns in biological communities and assess relationships between biological similarity and geographic distance.
• Evaluate model performance using appropriate validation and testing procedures.
• Work with large reference datasets containing biological and geographic information.
• Produce figures, tables, and statistical summaries of analytical results.
• Document computational workflows and contributions to scientific reports, presentations, and manuscripts.
• Work collaboratively with researchers in bioinformatics, molecular biology, environmental genomics, and forensic science.
Qualifications
Applicants should have:
• An MSc or PhD degree in Bioinformatics, Computational Biology, Molecular Biology, Biotechnology, or a closely related discipline.
• Experience analyzing DNA sequencing or other high-dimensional biological data.
• Experience with Python and/or R for data analysis.
• Experience with machine learning and statistical modeling.
• Experience working with biological community, microbiome, metagenomic, or environmental DNA data.
• Ability to work with large datasets and develop reproducible computational analyses.
• Good written and spoken English.
• Ability to work independently while collaborating effectively within a multidisciplinary research team.
Meritorious qualifications
Experience in one or more of the following is considered an advantage:
• Environmental DNA (eDNA) or metagenomics.
• Microbiome or microbial community analysis.
• Machine-learning methods for classification, prediction, or geolocation.
• Spatial analysis or geographic modeling.
• Feature selection and dimensionality reduction for high-dimensional sequencing data.
• Analysis of environmental or forensic biological samples.
• Linux and command-line bioinformatics.
• Development or evaluation of computational bioinformatics pipelines.
• Experience with workflow management systems such as Nextflow or Snakemake.
• Experience with Git/GitHub and reproducible software development.
About the position
This 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.
We are looking for someone who combines strong analytical skills with curiosity, independence, and an interest in developing computational approaches to challenging biological problems.
About Microdentify
Microdentify Sweden AB is a startup that 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.
Applicants should submit.
Cover letter
CV
Transcripts
Diploma
Proof of work with microbiome, metagenomic, or environmental DNA data
Ansök till tjänsten
Bioinformatician with experience in eDNA
OM FÖRETAGET
Microdentify Sweden AB
