12.06.2026 aktualisiert


100 % verfügbar
Computational Biologist | Genomics & Multi-Omics Data Analysis
Binningen, Schweiz
Binningen +25 km
PhD in Biochemistry (University of Bath, 2021-2025)Über mich
Computational Biologist with expertise in large-scale omics analysis and predictive modelling. Combines a PhD in Biochemistry and MSc in Bioinformatics with deep expertise in statistical programming and scientific workflow development.
Skills
Data AnalysisDna-SequenzierungBash ShellBiostatistikComputational BiologyGenomicsPythonMachine LearningNumPySequenz-AnalyseSciPySQLWorkflowsData ScienceScikit-learn
Python Programming & Data Analysis
Extensive use of Python for building reproducible workflows, data structuring and validation with Pandas and NumPy, processing over 20Tb of sequencing data, and developing version-controlled scripts distributed via GitHub.
Machine Learning & AI
Application of machine learning frameworks including scikit-learn and PyTorch to model high-dimensional biological data, explore and validate predictive models for identifying epigenetic biomarkers of ageing, and build novel predictive ageing models.
Next-Generation Sequencing & Multi-Omics Analysis
Hands-on experience in extracting and sequencing DNA and RNA from ageing cohorts, base-calling and processing large-scale sequencing data, and validating Oxford Nanopore sequencing for detecting epigenetic DNA modifications.
SQL & Database Management
Database management and data manipulation using SQL.
Bash Scripting
Data manipulation, statistical modelling, and automation using Bash scripts.
HPC & Cloud Computing
Running workflows on high-performance Linux clusters and scalable cloud computing environments.
Workflow Automation
Development of complex workflows using Snakemake for reproducible and automated bioinformatics pipelines.
Git & Version Control
Version control and collaborative development using Git and GitHub.
Image Analysis
Image analysis using ImageJ/FIJI and CellProfiler.
Making Data FAIR
Contributing data to public archives to ensure findability, accessibility, interoperability, and reusability.
Project Management (CAPM)
Certified Associate in Project Management by the Project Management Institute (cert. ID: 3967835), with training in project planning, AGILE methodology, and stakeholder communication.
Extensive use of Python for building reproducible workflows, data structuring and validation with Pandas and NumPy, processing over 20Tb of sequencing data, and developing version-controlled scripts distributed via GitHub.
Machine Learning & AI
Application of machine learning frameworks including scikit-learn and PyTorch to model high-dimensional biological data, explore and validate predictive models for identifying epigenetic biomarkers of ageing, and build novel predictive ageing models.
Next-Generation Sequencing & Multi-Omics Analysis
Hands-on experience in extracting and sequencing DNA and RNA from ageing cohorts, base-calling and processing large-scale sequencing data, and validating Oxford Nanopore sequencing for detecting epigenetic DNA modifications.
SQL & Database Management
Database management and data manipulation using SQL.
Bash Scripting
Data manipulation, statistical modelling, and automation using Bash scripts.
HPC & Cloud Computing
Running workflows on high-performance Linux clusters and scalable cloud computing environments.
Workflow Automation
Development of complex workflows using Snakemake for reproducible and automated bioinformatics pipelines.
Git & Version Control
Version control and collaborative development using Git and GitHub.
Image Analysis
Image analysis using ImageJ/FIJI and CellProfiler.
Making Data FAIR
Contributing data to public archives to ensure findability, accessibility, interoperability, and reusability.
Project Management (CAPM)
Certified Associate in Project Management by the Project Management Institute (cert. ID: 3967835), with training in project planning, AGILE methodology, and stakeholder communication.
Erfahrung
Berufserfahrung0 - 5 Jahre
Freelancer seit2026
Sprachen
DeutschverhandlungssicherEnglischMutterspracheFranzösischGrundkenntnisse
Projekthistorie
Multi-omics research on gene regulatory changes during healthy ageing. Extracted and sequenced DNA and RNA from four ageing cohorts, processed over 20Tb of sequencing data using Python, explored and validated machine learning models to identify epigenetic biomarkers of ageing, provided training and mentorship on bioinformatics methods, and developed version-controlled Python and Bash scripts distributed via GitHub.
Industrial placement at a global leader in long-read nucleotide sequencing. Received training on sequencing methods and data analysis, validated the use of Oxford Nanopore sequencing for detecting epigenetic DNA modifications, provided feedback on technology from biological data, and communicated findings to multidisciplinary audiences through a peer-reviewed publication, seminar talks, and a breakout talk and panel discussion at London Calling 2024.
Volunteer role chairing the postgraduate society, organising academic and social events to strengthen collaboration and peer support. Coordinated a faculty-wide academic conference, a guest speaker session, and quarterly social events to improve networking and enable skills development for early-career researchers.