Ebenezer N. - Scientific researcher

Go to Website

Hamburg, Germany

Experience

Jun 2025 - Sep 2025

4 months

Lorem ipsum dolor sit amet

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).

Oct 2017 - Mar 2025

7 years 6 months

Hamburg, Germany

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.

Jul 2017 - Sep 2017

3 months

Rastatt, Germany

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.

Mar 2012 - Jun 2016

4 years 4 months

Kiel, Germany

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.

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.