Bioinformatician with experience in eDNA

Microdentify Sweden AB; Lunds kommun; On-site; SEK 520,000 - 700,000; Full time

Job summary

Microdentify Sweden AB söker en bioinformatiker för att analysera eDNA och metagenomiska datasets samt tillämpa maskininlärning inom biologiska och forensiska sammanhang.

Du kommer att utveckla reproducerbara analyspipelines, utföra kvalitetskontroller och bidra till geografisk inferens samt rapportering av resultat i figurer och manuskript.

Positionen kräver självständighet och samarbete i tvärvetenskapliga team samt intresse för miljögenomik och rättsrelaterade tillämpningar.

Qualifications

• Kandidaten ska ha MSc eller doktorsexamen i bioinformatik, berörda fält eller närliggande disciplin.
• Erfarenhet av att analysera DNA-sekvenseringsdata eller andra högdimensionella biologiska data.
• Färdigheter i Python och/eller R för dataanalys.
• Kunskap om machine learning och statistisk modellering.
• Erfarenhet av arbete med mikrobiom/metagenomik eller eDNA-data är meriterande.

Responsibilities

• Analysera environmental DNA (eDNA) och metagenomiska dataset.
• Analysera biologiska samhällsprofiler från miljöprover.
• Utveckla och validera reproducerbara analytiska pipelines.
• Tillämpa maskininlärning för klassificering och förutsägelser.
• Bidra till geografisk inferens baserad på biologiska data.
• Dokumentera arbetsflöden och bidra till rapporter och publikationer.

Skills

Python

R

Machine learning

English (written/spoken)

Education

MSc or PhD in Bioinformatics/Computational Biology

Tools

Nextflow

Snakemake

Git

Linux

Job description

Bioinformatician with experience in eDNA

Kommun: Lund

Microdentify 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.

The 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.

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 contribute 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.
• Knowledge of 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.

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 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.

• CV
• Transcripts
• Diploma
• Proof of work with microbiome, metagenomic, or environmental DNA data

Krav

• Forskare, genetik - 1-2 års erfarenhet

Utbildning

Krav

• Forskarutbildning inom Biologi och miljövetenskap