Ebenezer Ntiriakwa
Scientific researcher
Experience
Applied Data Science & AI Bootcamp
- Prototyped LLM/RAG document assistant; trained transcriptomics and proteomic data; used Git/Docker for reproducibility.
- Strengthened ML fundamentals applicable to omics (feature engineering, validation, leakage control).
Scientific researcher
University of Hamburg
- Developed and optimized bioinformatics workflows (R, Python, Snakemake) for large-scale proteomic and transcriptomic datasets.
- Integrated multi-omics datasets to identify novel peroxisomal proteins, improving biological insight and reproducibility.
- Reduced data processing time by 28% through workflow automation; improved cross-project reproducibility by 15%.
- Managed HPC-based analyses and containerized environments (Docker, Singularity) for multi-user data processing.
- Trained junior scientists and students in R programming, Bioconductor, and data analysis best practices.
- Prepared technical documentation, quality control reports, and data summaries for publications and grant proposals.
Intern – Field Trials and lab work
Dow AgroSciences GmbH
- Performed target validation studies combining gene expression profiling with biochemical assays.
- Supported lead discovery efforts by analyzing gene-regulatory pathways and biomarker signatures.
- Assisted in project planning and data interpretation across multi-disciplinary teams.
Research assistant
University of Kiel
- Performed standard molecular assays, enzyme activity analysis, and microscopy-based studies.
- Assisted in maintaining cell culture systems and implementing lab safety protocols.
Industries Experience
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Experienced in Education (11.5 years) and Biotechnology (0.5 years).
Business Areas Experience
The graph below provides a cumulative view of the freelancer's experience across multiple business areas, calculated from completed and active engagements. It highlights the areas where the freelancer has most frequently contributed to planning, execution, and delivery of business outcomes.
Experienced in Research and Development (12 years) and Information Technology (7.5 years).
Summary
Analytical and results-driven Bioinformatician and Molecular Biologist (PhD) with over seven years of experience in omics data analysis, computational biology, and method development. Strong background in designing reproducible pipelines for proteomics, transcriptomics, and genomics using Python, R, and HPC systems. Skilled in collaborative scientific consulting, data interpretation, and teaching. Focused on precision, efficiency, and team-oriented problem-solving.
Skills
- Programming & Tools: Python, R (Bioconductor, Ggplot2, Tidyverse), Bash, Git, Docker, Nextflow, Snakemake
- Data Analysis & Bioinformatics: Rna-seq, Proteomics, Metabolomics, Single-cell And Spatial Data, Ngs Qc, Workflow Automation
- Systems & Infrastructure: Linux (Ubuntu, Centos), Hpc Environments (Slurm), Cloud Deployment, Data Versioning Systems
- Molecular Biology Expertise: Gene Expression, Cloning, Qpcr, Protein Purification, Western Blotting
- Documentation & Reporting: Workflow Documentation, Data Visualization, Training Materials, Reproducible Research Pipelines
- Cross-functional Collaboration And Scientific Communication
Languages
Education
University of Hamburg
PhD in Biological Chemistry · Biological Chemistry · Hamburg, Germany
University of Kiel
Master of Science in AgriGenomics · AgriGenomics · Kiel, Germany
University of Ghana, Legon
Bachelor of Science in Agriculture (Crop Science) · Agriculture (Crop Science) · Accra, Ghana
Certifications & licenses
Applied Data Science & AI Bootcamp
Class B EU Driver’s License
Profile
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