We are seeking a detail-oriented Research Data Analyst to support ongoing studies examining EEG activity and subjective experience. This role emphasizes rigorous preprocessing, quantitative analysis, and cross-condition comparison of multichannel EEG data, alongside integration with behavioral and self-report measures. The ideal candidate is comfortable working with raw EEG files and translating complex data into publication-ready outputs.
Estimated Time Commitment:
Approximately
10-20 hours per week on average (flexible based on project phase), with potential for expansion as studies progress.
Key Responsibilities
- Import, edit, and manage raw EEG datasets (including EDF format)
- Perform EEG preprocessing pipelines (e.g., filtering, artifact rejection, ICA/ocular correction, segmentation/epoching, re-referencing)
- Compute spectral power, relative power, band ratios, and coherence/connectivity metrics across conditions
- Conduct within-subject and between-condition statistical comparisons
- Support time-frequency and event-related analyses as needed (e.g., ERPs, band-specific changes)
- Integrate EEG metrics with self-report questionnaire and behavioral data
- Generate publication-quality figures (topographic maps, spectra, connectivity plots, summary graphs)
- Document analytic workflows for reproducibility
- Assist with statistical modeling and research reporting
Software & Technical Environment
Candidates should have working proficiency with some combination of:
- MATLAB/EEGLAB and/or Python (MNE-Python preferred)
- BrainVision Analyzer, NeuroGuide, BrainMaster or similar EEG platforms (helpful but not required)
- R or Python for statistical analysis
- EDF editing tools (e.g., EDFbrowser or equivalent)
- Version control and reproducible workflows (preferred)
Requirements
- Background in neuroscience, psychology, biomedical engineering, data science, or related field
- Demonstrated experience with EEG/qEEG signal processing
- Strong understanding of EEG preprocessing and artifact management
- Experience with statistical analysis of repeated-measures data
- Strong attention to detail and documentation practices
Benefits
At MySigrid, we aim to ensure the professional and personal growth of all our employees:
- Competitive salary package
- Vacation leave and Sick leave credits
- HMO Package for the employee and two codependents.
- Reimbursable internet charges
- Comprehensive training and continuous learning advantages
- Opportunity to contribute to new technology and help develop a high-end system that assists humans by optimizing their work processes
- High importance to work-life balance with the opportunity to work from home part of the week.
- Opportunity to venture into other areas of the business as you continue to contribute to the growth of the company
- Be part of a dynamic team of specialists who openly and willingly share their knowledge with their colleagues
- Work in a corporate culture that encourages collaboration, with an emphasis on our core values: Integrity, Passion, Teamwork & Respect, Pro-activeness, Accountability, and Determination.
Co-Working days
Sigrid has co-working offices in Ortigas where the whole team meets once a month at a minimum.
