---
title: 'Senior Data Scientist at Epia Neuro'
canonical: 'https://feeny.ai/job/senior-data-scientist-epia-neuro-alameda-1tehd3tdbt48'
type: 'job'
last_seen: '2026-11-02'
---

# Senior Data Scientist at Epia Neuro

- **Company:** Epia Neuro
- **Location:** Alameda, CA
- **Compensation:** $140k–$165k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-10-31
- **Last confirmed live:** 2026-11-02
- **Apply:** https://jobs.ashbyhq.com/epianeuro/214708a3-8ffc-40e1-9c3f-50df6c743fcf

## Job description

## About Us

Epia Neuro is a neural technology company developing intent-driven systems designed to restore function and independence for people living with neurological conditions. Its platform integrates implantable neural interfaces, adaptive algorithms, and assistive devices to translate neural intent into real-world action. The company's initial focus is stroke-related motor impairment, with expansion into cognitive decline and other neurological disorders.

## The Role

We are generating neural and behavioral data at an increasing pace, across preclinical and early human research studies, with clinical studies ahead. We are looking for a neural data scientist to turn that data into rigorous answers. This ranges from characterizing signal quality and decoding performance to exploring what else our data can tell us, such as which movements and behaviors we can extract and decode. You will design and carry out the analyses and build the analysis workflows that let us do this reliably as our data grows.

This is a hands-on, individual contributor data scientist role on our Research team, reporting to the Director of Research. You will work alongside the scientists running our studies, and your work will shape study design, inform our decoding approaches, and contribute to publications. You will also partner closely with our Software team, which owns production code and the software infrastructure used in our studies.

## What You'll Do

- Own the analysis of our research studies end to end, from analysis strategy and statistical design through figures, readouts, and publications.
- Characterize and validate the in vivo recording performance of our neural interface (signal quality, noise, artifacts, and stability), and establish the preprocessing and quality control that downstream analyses depend on.
- Develop and evaluate decoding models that relate neural activity to behavior, including those used in closed-loop study sessions.
- Explore neural and behavioral data, including pose estimation and kinematics, to identify new variables and questions worth pursuing.
- Build reproducible analysis pipelines and help define data standards across studies.
- Work closely with study scientists to shape analysis plans and study design, communicate findings clearly to scientists, engineers, and leadership, and partner with our Software team to hand off research-grade methods and code.

## Qualifications

- PhD in neuroscience, neural engineering, biomedical engineering, electrical engineering, computer science, or a related quantitative field, or a Master's degree in one of these fields with 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.
- A strong foundation in neural signal processing, including filtering, spectral analysis (such as band power and time-frequency methods), artifact handling, and feature extraction.
- A solid applied machine learning background, including both supervised and unsupervised methods, particularly with noisy biological data.
- Demonstrated 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, with a track record of writing reusable, maintainable analysis code and using version control and sound data management practices.
- Clear written and verbal communication, and comfort working across scientific and engineering teams.

## Nice to Have

- 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.

## How We Work

- We are intentional. We prioritize and are thoughtful about how we use others' time.
- We care for others. We prioritize safety both for patients and one another.
- We own outcomes, not just tasks. Our work demands the highest standards because it impacts real patients and real lives.
- Humility is a strength. We are honest about what we know and what we don't know. Getting it right matters more than being right.

Location This role is based out of the San Francisco Bay Area and is expected to work on site from our Alameda headquarters at least 3 days a week.

## Benefits

Full-time employees are eligible for the following benefits:

- Competitive base salary with equity
- 100% of healthcare coverage for you and your dependents
- Generous vacation policy
- Paid parental leave
- Work from our waterfront office in Alameda, CA, with access to collaborative spaces and labs

## About Epia Neuro

## Company Overview
- **One-liner**: Epia Neuro is developing a minimally invasive, implantable brain-computer interface system that translates neural intent into real-world action, starting with stroke recovery and expanding to cognitive decline and other neurological disorders.
- **Entity Type**: Private (stealth-stage startup – officially launched April 2026; no funding round disclosed)
- **Headquarters**: Alameda, California, United States
- **Founded**: 2026 (official launch); development began approximately 2021
- **Founders**: Michel Maharbiz, Ph.D. (CEO) and Gil Mandelbaum, Ph.D. (CTO & Science Officer)

## Core Business
- **Primary industry**: Medical Equipment Manufacturing / Neurotechnology (Brain-Computer Interfaces)
- **Target customers**: B2B – hospitals, neurosurgery departments, rehabilitation clinics; B2C – stroke survivors and individuals with movement or cognitive impairments
- **Mission statement**: “To address the gap between intent and action” – building neurotechnology that gives back the freedom to move and think

## Products & Services
- **Implantable Brain Interface**: A proprietary neural interface that captures signals without piercing the dura. Designed for sub-hour implantation by any neurosurgeon. Supports both sensing (reading neural intent) and stimulation (closed-loop therapy). Rechargeable non-invasively via headset and built with a cradle system for future upgrades without additional invasive surgery.
- **Decoder System / Closed-Loop Intelligence**: Adaptive algorithms that interpret neural signals in real time and adjust stimulation parameters continuously, building a personalized “longitudinal map” of each patient’s neural activity.
- **Wearable Grip Assist**: A lightweight, daily-use motor prosthetic that helps stroke survivors grasp, hold, and release objects. Developed with input from survivors, advocates, and clinicians.
- **Platform Expansion**: The stroke therapy acts as a proof-of-concept for treating epilepsy, Parkinson’s disease, cognitive decline, and other neurological conditions through combined sensing and deep brain stimulation.

## Market Standing
- **Valuation**: Not publicly available (company is pre‑revenue and privately held)
- **Key Metric**: Total funding – not publicly disclosed (company is “totally independent” according to Inside BCI, with no disclosed investors)
- **Notable Investors/Partners**: Institutional advisors include Mass General Hospital, Lenox Hill Hospital (first‑in‑human trial site), Beth Israel Deaconess Medical Center, and Harvard Medical School. No formal investor list has been released.
- **Growth Signals**: Official launch April 2026; plans for first‑in‑human system demonstrations at Lenox Hill Hospital (New York) later in 2026; headcount of 24 employees (as of mid‑2026) with active hiring across engineering, electrical systems, and clinical roles; increasing LinkedIn follower base (1,459) and strong social engagement on launch posts.

## Competitive Advantages
- **Minimally Invasive**: Implant sits entirely within the skull, no breach of dura – reduces surgical risk compared to penetrating cortical BCIs.
- **Quick Procedure & Scalability**: Designed for sub‑hour implantation by any neurosurgeon, facilitating broad clinical adoption.
- **Upgradable & Long‑Life**: Cradle system allows device upgrades without additional surgery. Rechargeable headset eliminates the need for battery‑replacement surgeries.
- **Closed‑Loop Read/Write**: Both senses neural signals and delivers stimulation, enabling adaptive, real‑time therapy (beyond read‑only BCIs).
- **Platform Approach**: Stroke motor recovery is the entry point; the same hardware/software stack can address epilepsy, Parkinson’s, and cognitive decline, creating a large addressable market (estimated >$5B US opportunity for stroke alone).

## Strategic Focus
- **Near‑term**: Complete first‑in‑human demos, prepare for regulatory submissions (FDA), and scale the engineering team.
- **Medium‑term**: Leverage stroke clinical data to build evidence for cognitive decline and other indications; broaden the implant’s deep brain stimulation capabilities.
- **Long‑term**: Become a standard‑of‑care neural interface platform for a wide range of neurological disorders, with an emphasis on “widely accessible” neurotechnology.

## Why Work Here
- **Mission‑Driven**: Employees directly contribute to restoring independence for stroke survivors and people with neurological conditions (“If you want your work to restore independence for millions of people, we want to hear from you.”)
- **Cutting‑Edge Technology**: Work on the frontier of medical BCI, combining implantable hardware, adaptive AI, and real‑time neural decoding.
- **Early‑Stage Culture**: As a recently launched startup (~24 employees), you’ll have outsized impact on product design, clinical strategy, and company trajectory.
- **Multidisciplinary Team**: Composed of engineers, neuroscientists, and operations leaders from iota Biosciences, UC Berkeley, Harvard, and industry.
- **Work Style**: Likely in‑office in Alameda, CA (with a small presence in Canada); no formal remote/hybrid policy announced yet.
- **Active Hiring**: Open roles include Staff/Principal Electrical Systems Engineer, Analog Mixed‑Signal Design Engineer, and other technical positions (see careers page).

## Sources
1. [epianeuro.com](https://www.epianeuro.com/)
2. [businesswire.com](https://www.businesswire.com/news/home/20260402282679/en/Epia-Neuro-Launches-to-Develop-Intent-Driven-Neural-Technology-to-Restore-Function-After-Stroke-and-Address-Cognitive-Decline)
3. [linkedin.com/company/epia-neuro](https://www.linkedin.com/company/epia-neuro)
4. [insidebci.com](https://insidebci.com/news/2026-04-22-maharbiz-launches-epia-neuro-stroke-focused-bci-built-for-lifelong-assistive-use/)

## Other roles at Epia Neuro

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- [Technical Project Manager, Software & Firmware](https://feeny.ai/job/technical-project-manager-software-firmware-epia-neuro-alameda-hftqbv9pvmhn) — Alameda, CA
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