Fatemeh RezakhanyFR
Open to opportunities

Fatemeh Rezakhany

@fatemehrezakhany

Experienced Clinical Data Analyst with 8+ years in neuroscience.

Belgium

What I'm looking for

I am seeking a data analyst role in life sciences, focusing on clinical research and data-driven insights.

I am an experienced Clinical Data Analyst with over 8 years of expertise in neuroscience, neuroimaging, and clinical trials. My background in biomedical data processing and visualization, coupled with strong statistical analysis skills, allows me to manage clinical datasets effectively while ensuring data quality. I have a proven track record of generating insights for clinical trials, supported by my engineering background.

Currently, I am pursuing a Ph.D. in Neuroscience at KU Leuven, where I have contributed to the design and preparation of Statistical Analysis Plans for various clinical research projects. My proficiency in R, Python, SQL, and Power BI has enabled me to conduct complex data analyses and visualizations that align with scientific objectives. I am known for my quality-first mindset, fast learning abilities, and clear communication skills, which have been instrumental in leading multiple projects to success.

Throughout my career, I have designed and conducted numerous clinical studies, obtaining ethical approvals and managing participant recruitment. My work has led to high-impact publications in prestigious journals, showcasing my ability to interpret complex data and communicate findings effectively. I am passionate about leveraging my skills in data analysis to contribute to advancements in life sciences and clinical research.

Experience

Work history, roles, and key accomplishments

KL
Current

Student Ambassador

KU Leuven

Oct 2019 - Present (5 years 7 months)

Guided new international students.

RA
Current

Analytical Project Manager

Radiomics

Mar 2024 - Present (1 year 2 months)

Supported the design and preparation of Statistical Analysis Plans (SAPs) for clinical research projects. Conducted data pre-processing, statistical analysis, and visualization using R and Python combined with Power BI, SQL, and Git to support clinical and scientific objectives.

NL

Medical Image Processing Specialist

National Brain Mapping Lab

Dec 2017 - Aug 2019 (1 year 8 months)

Complex data (pre)processing in fMRI, relaxometry, and dMRI, ensuring accuracy and adherence to research standards. Designed and implemented an automated data analysis pipeline for relaxometry MRI, significantly improving processing efficiency and reproducibility.

Education

Degrees, certifications, and relevant coursework

KL

KU Leuven

Ph.D., Neuroscience

Investigated human movement control and age-related deteriorations in the central nervous system using advanced neuroimaging methods. Designed and conducted multiple clinical studies, including obtaining ethical approval, recruiting participants, managing data collection, and interpreting results leading to high-impact publications.

TU

TUMS university

MSc., Biomedical Engineering

Grade: Top student

Activities and societies: Fundraising for rare pulmonary patients' support

Completed a Master of Science degree in Biomedical Engineering. Graduated as a top student in the program.

Tech stack

Software and tools used professionally

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Fatemeh Rezakhany - Student Ambassador - KU Leuven | Himalayas