Sarah Saif
Leuven
Summary
Graduate in Biophysics, Biochemistry, and Biotechnology, with expertise in molecular physiology, vaccine research, and computational biology. Skilled in Python and R workflow development, advanced data visualization, and proven ability to optimize workflows and collaborate within a team. Seeking roles in computational biology and life science data analysis. Eager to get further education in data science and make a significant impact at the crossroads between biotech and AI.
Overview
3
3
years of professional experience
Work History
Master’s Thesis Research
Laboratory of molecular and cellular signalling
Leuven
09.2024 - Current
Investigated familial Alzheimer’s disease related presenilin mutations effects on calcium signalling
- Human cell culture
- Imaged calcium indicators via fluorescence microscopy (wide-field & confocal)
- Automated microscopy data analysis using ImageJ macros and python pipeline
- Assessed protein levels and interactions via Western blot and co-immunoprecipitation
- Assessed metabolic activity via Seahorse mito stress assay
- Initiated to cell death assays
Research Intern
Institut für Medizinische Mikrobiologie, Immunologie und Hygiene
Munich
01.2024 - 06.2024
Assisted H. pylori vaccine development research
- Optimized cell culture conditions for protein expression
- Purified recombinant proteins via Ni-IMAC and SEC
- Assessed immunogenicity in mice using ELISA and immunohistochemical staining of mice tissues
- Assessed tissue bacterial load via RT-qPCR
Student Job
Stad Leuven
07.2022 - 01.2024
- Receptionist & Night Shift
Education
Master of Science - Biophysics, Biochemistry, and Biotechnology
KU Leuven
Leuven, Belgium07-2025
Bachelor of Science - Biochemie and Biotechnologie
KU Leuven
Leuven, Belgium09-2023
Skills
- Laboratory skills (see Experience)
- Scientific writing
- Python
- R
- ImageJ
- GraphPad Prism
- BLAST
Accomplishments
- Revitalized stalled internship project by redefining objectives and plan.
- Independently developed Python workflows in research context, streamlining data processing, saving 10+ hours/week.
Projects
Multivariate Statistical Analysis (Diabetes Dataset) R-based
- Reduced dimensionality via factor analysis,
- Built logistic regression models to predict diabetes outcomes
Neuroscience Data Analysis Python-based,
- Researched locomotion and visual-clue modulation of neural firing rates
- Analyzed neuron activity patterns: statistical testing, parameterized fit model, neuron classification
Languages
- English, Fluent
- French, Fluent
- Dutch, Fluent
- German, A2
Timeline
Master’s Thesis Research
Laboratory of molecular and cellular signalling
09.2024 - Current
Research Intern
Institut für Medizinische Mikrobiologie, Immunologie und Hygiene
01.2024 - 06.2024
Student Job
Stad Leuven
07.2022 - 01.2024
Master of Science - Biophysics, Biochemistry, and Biotechnology
KU Leuven
Bachelor of Science - Biochemie and Biotechnologie
KU Leuven
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