Senior Data Scientist

Epia Neuro•Alameda, CA

5d•$140,000 - $165,000•Hybrid

About The Position

Epia Neuro is a neural technology company developing intent-driven systems to restore function and independence for people living with neurological conditions. Its platform combines implantable neural interfaces, adaptive algorithms, and assistive devices to translate neural intent into real-world action. The company is initially focused on stroke-related motor impairment, with planned expansion into cognitive decline and other neurological disorders. The Senior Data Scientist will analyze neural and behavioral data from preclinical and early human research studies, with clinical studies anticipated. The work includes assessing signal quality and decoding performance, exploring additional movement and behavioral measures that can be extracted from the data, and designing reliable analysis workflows as the data grows. This is a hands-on individual contributor role on the Research team, reporting to the Director of Research. The scientist will work alongside study scientists, shaping study design, informing decoding approaches, and contributing to publications. The role also partners closely with the Software team, which owns production code and the software infrastructure used in studies.

Requirements

PhD in neuroscience, neural engineering, biomedical engineering, electrical engineering, computer science, or a related quantitative field; alternatively, a Master's degree in one of these fields and 4+ years of relevant experience in a research-focused role.
Substantial hands-on experience analyzing continuous neural time-series data, ideally field potentials such as ECoG, sEEG, LFP, or EEG.
Strong foundation in neural signal processing, including filtering, spectral analysis such as band power and time-frequency methods, artifact handling, and feature extraction.
Solid applied machine learning background, including supervised and unsupervised methods, particularly with noisy biological data.
Ability to independently frame scientific questions, select and defend appropriate methods, and carry analyses through to clear conclusions and actionable recommendations.
Experience aligning neural recordings with behavioral and task data.
Strong Python and scientific computing skills.
Track record of writing reusable, maintainable analysis code and using version control and sound data management practices.
Clear written and verbal communication skills and comfort working across scientific and engineering teams.

Nice To Haves

Experience with human intracranial recordings.
Experience with motor decoding, cognitive-state decoding, or closed-loop BCI.
Experience with video-based pose estimation or kinematic analysis.
Experience building data pipelines or standards shared across studies.
Experience with cloud-based data processing.

Responsibilities

Own research-study analyses end to end, from analysis strategy and statistical design through figures, readouts, and publications.
Characterize and validate in vivo neural-interface recording performance, including signal quality, noise, artifacts, and stability; establish preprocessing and quality control for downstream analyses.
Develop and evaluate decoding models relating neural activity to behavior, including models used in closed-loop study sessions.
Explore neural and behavioral data, including pose estimation and kinematics, to identify useful variables and research questions.
Build reproducible analysis pipelines and help define data standards across studies.
Work with study scientists to shape analysis plans and study design.
Communicate findings clearly to scientists, engineers, and leadership.
Partner with the Software team to hand off research-grade methods and code.