EEG Researcher/Analyst
Are you an experienced sleep EEG analyst who writes clean code and thinks carefully about methodology? We're building technology that doesn't just observe sleep — it actively deepens it. As we move from research validation toward real-world deployment, we're looking for someone to grow our codebase, shape our analytical approach, and extract meaningful signals from a rich and expanding database of high-density lab and wearable EEG recordings. If you want your work to sit at the intersection of rigorous sleep science and a product that could matter at scale, this is that role.
The concrete tasks you will be dealing with on a daily basis:
- Data ingestion & format handling: build and maintain Python pipelines for importing, exporting, and version-controlling physiological and behavioral data across the heterogeneous formats that come with multi-study, multi-device datasets.
- Dataset management & curation: maintain analysis-ready datasets spanning high-density lab EEG and ambulatory wearable recordings, managing the quality control, versioning, and documentation that large-scale sleep research demands.
- Methodology development: propose, test, and validate analytical approaches with real methodological latitude. This isn't inheriting a fixed pipeline, but actively shaping how the data gets interrogated.
- Signal processing & analysis: run the full analytical spectrum across existing and ongoing studies: from classical sleep staging and oscillatory feature extraction to ML-based classification and cross-study comparative analyses, with outputs that directly inform closed-loop algorithm behavior.
- Data visualization & communication: build visualizations that make high-dimensional sleep data legible across audiences: from publication figures and internal analysis tools to accessible formats for non-scientific stakeholders.
Hard requirements…
- MSc or PhD in Neuroscience, Biomedical Engineering, Data Science, Bioinformatics, Psychology, or a related field.
- At least 5 years of hands-on experience with sleep EEG analysis across the pipeline: preprocessing, artifact handling, time-frequency analysis, slow wave and spindle detection, sleep staging, and visualization.
- Strong Python skills and familiarity with the core scientific stack (MNE, NumPy, Pandas, SciPy).
- Comfortable with data wrangling and management, including relational data structures and SQL.
- Experience with version control and code deployment via Git/GitHub.
- Solid quantitative foundation in mathematics and statistics, paired with a creative approach to data problems.
- Highly organized and detail-oriented, with strong communication and collaboration skills suited to a fast-moving startup environment.
Strongly recommended…
- Proficiency in additional programming languages (R, MATLAB, C, C#, Java).
- Experience with other physiological signals: EMG, ECG, respiration.
- Machine learning experience, with frameworks such as scikit-learn, Keras, or TensorFlow.
- Familiarity with BIDS and associated tools (MNE-BIDS, PyBIDS).
- Experience with study coordination or scientific manuscript preparation.
Join Our Mission
You will have the unique opportunity to be at the forefront of worldwide sleep science innovation at Deep Sleep Technologies, playing a key role in transitioning our breakthrough technology from the lab to the consumer market—and beyond. If you are passionate about sleep science and eager to contribute to innovative projects with tangible societal impact, we invite you to apply.
Application Process
To apply, please complete our application survey. The survey will ask for your motivation letter, CV (including degree details and grades), and a number of questions that form part of our initial screening: so take your time with it. Applications close 24 April.
The selection process is as follows:
- Round 1 (May): online or on-site interview with members of our research team
- Round 2 (May/June): on-site interview with the research team and leadership
Following up on references may be part of the application process.
Join us as we revolutionize brain health and well-being at Deep Sleep Technologies! We look forward to your application.