Staff Neuroscientist, Neural Biomarkers
Precision NeuroscienceABOUT PRECISION NEUROSCIENCE
Precision Neuroscience is building a next-generation brain–computer interface (BCI) to heal and empower millions of people living with neurological conditions.
Our first product, Layer 7, is designed to help people with severe paralysis operate digital devices using only their thoughts—opening up new possibilities for daily life.
Our team brings together experts in neurosurgery, AI and machine learning, microfabrication, electrical engineering, clinical science, and more. We combine deep technical rigor with a people-first mindset to turn breakthrough research into real-world medical solutions.
As a Precision employee, you’ll join one of the fastest-moving and best-capitalized companies in the emerging field of brain–computer interfaces. Since our founding in 2021, we have raised more than $180 million, advanced our technology through validation, and initiated human trials with leading hospitals across the country.
Our Values:
We build for human impact, measuring progress by the lives our work can change.
We do no harm, holding ourselves to the highest standards of safety, integrity, and responsibility.
We innovate with urgency because the stakes are high and our users can’t wait.
We bring sharp minds, open ears, pairing expertise with curiosity, humility, and respect.
And we lead the way, taking ownership of our work and helping to shape the future of our field.
We are seeking a Staff Neuroscientist, Neural Biomarkers to identify and validate pharmacodynamic and monitoring biomarkers in high-density human cortical recordings acquired during standard-of-care neurosurgical procedures, and to build a rigorous biomarker program around them.
In this role, you will be the founding scientist on the biomarker program, reporting to the head of Machine Learning: designing the studies, authoring the statistical analysis plans before data collection begins, carrying out the analysis of the intraoperative recordings from raw data to reported results, and representing that science directly to the clinical pharmacology, biomarker, and translational medicine teams of our pharmaceutical and biotechnology partners. As the program grows, the role expands to hiring and leading the scientists who carry it forward.
This position will be based in our New York or Santa Clara office. We are unable to consider remote workers or individuals who are not currently based in the US and not legally authorized to work in the US.
Key Responsibilities
Study design and analysis planning
Design prospective human studies within the constraints of intraoperative recording: hypothesis, primary endpoint, comparison conditions, baseline and post-dose windows, and a sample size justified against the expected effect
Author a statistical analysis plan for each study before data collection begins, specifying the analyses, the model and its covariates, multiplicity correction across channels, frequency bands, and time windows, and the criteria for classifying a candidate biomarker as supported, unsupported, or inconclusive
Identify the confounds inherent to intraoperative data (e.g., anesthetic regimen, surgical stage, electrode placement, concomitant medications) and handle each with the appropriate approach: design controls where the study allows them, covariate adjustment and sensitivity analyses where it does not, and explicit reporting of what the data cannot separate
Distinguish exploratory from confirmatory findings in all reporting, including negative and null results
Define what each biomarker hypothesis requires of data collection (e.g., assessments, recording windows, dosing and anesthesia documentation) and work with clinical teams to build those requirements into protocols
Biomarker data analysis
Perform the full analysis from raw high-density cortical recordings to reported results: referencing, channel and segment rejection, artifact handling, and documented signal-quality QC
Develop candidate biomarkers from the recordings - drawing on spectral power and aperiodic components, evoked potentials, cross-frequency coupling, and coherence, and on new measures where existing ones fall short - and characterize their time course relative to drug administration, including dose-response or concentration-effect relationships where pharmacokinetic data are available
Establish measurement properties - test-retest reliability, within-session stability, sensitivity to change, and reproducibility across subjects, devices, and sites - as a prerequisite to claims of drug effect
Select and apply the statistical methods each question requires (e.g., mixed-effects models; cluster-based permutation or false discovery rate control), report effect sizes with uncertainty intervals, and test robustness across alternative preprocessing choices and subject exclusions
Implement analyses as versioned, tested, reproducible code within the ML team’s infrastructure, and produce figures and reports suitable for review by partner biostatistics and clinical pharmacology groups
Partner-facing scientific leadership
Serve as Precision’s scientific representative to pharmaceutical and biotechnology partners: feasibility assessment, joint study design, technical diligence, and scientific review
Evaluate whether a therapeutic program is a good fit for an electrophysiological biomarker approach, and shape collaborations into well-scoped studies with clear objectives, endpoints, and success criteria
Represent both the strength and the limits of the evidence accurately
Translational strategy and scientific leadership
Develop the evidentiary strategy for Precision’s biomarkers, including context of use and the path toward acceptance as an exploratory or qualified measure, and contribute to regulatory documentation and partner submissions as programs mature
Act as the scientific bridge between the clinical, machine learning, and product teams working on biomarker studies
Publish and present externally, and author technical reports for partners, to establish Precision’s scientific credibility in this domain
Hire and mentor scientists and analysts on the biomarker program as it grows
Skills, Knowledge and Expertise
PhD in neuroscience, biomedical engineering, biostatistics, clinical pharmacology, or a closely related quantitative field
Demonstrated ownership of a human research program - protocol development, experiments with human subjects including clinical populations, and close work with clinical teams
Advanced statistics: pre-specified analysis plans, small-sample and repeated-measures inference, multiplicity control, and confounding in non-randomized human data
Hands-on experience analyzing human neural time-series data from raw recordings through reported results; intracranial or scalp electrophysiology (ECoG, stereo-EEG, LFP, or quantitative EEG) strongly preferred
Strong coding skills in Python, including fluency with modern AI coding tools (e.g., Cursor, Claude Code), and the ability to contribute maintainable, tested code to a shared codebase in a fast-paced, AI-assisted engineering environment while maintaining rigor
Biomarker development experience in a biopharmaceutical context (pharmacodynamic, response, or target engagement biomarkers in support of a drug program), in industry, at a CRO, or in an academic group working directly with a sponsor
Working knowledge of CNS drug development: early-phase study design, the role of exploratory endpoints, and how a sponsor makes a go/no-go decision
Strong scientific communication, with the credibility and composure to represent Precision’s science to a partner’s senior technical staff
Comfort with ambiguity, small datasets, and fast iteration
Strong plus
5+ years of post-PhD experience
Formal training in biostatistics, causal inference, or clinical trial methodology
Experience with pharmaco-EEG, quantitative EEG, or other drug-effect studies in human neural data, including PK/PD modeling
Experience with intracranial recordings acquired intraoperatively or under anesthesia
Direct experience in pharmaceutical or biotechnology translational medicine, clinical pharmacology, or experimental medicine, including scientific collaborations with sponsors
Familiarity with the FDA-NIH BEST Resource, biomarker qualification pathways, GCP, and regulatory expectations for medical devices (IDE/PMA)
Domain depth in one or more CNS therapeutic areas (e.g., epilepsy, pain, movement disorders, neurodegenerative disease, sleep, psychiatry)
Publication record in human electrophysiology, neuropharmacology, or biomarker development
Experience applying machine learning methods to neural data
Diverse workforces create the best culture, company, and products. We at Precision are committed to an inclusive culture that celebrates the uniqueness and contributions of everyone.
As an equal opportunity employer, Precision does not discriminate on the basis of sex, race, religion, national origin, disability status, protected veteran status, or any other characteristic protected by law.
The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment.
We prioritize candidate security. Please be aware that job offers will only come from emails ending with @precisionneuro.io
For roles based in Massachusetts: it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Precision Neuroscience does not accept unsolicited resumes or candidate profiles from recruitment agencies, staffing firms, or third-party recruiters. Any resumes submitted without a prior written agreement and an authorized job order will be considered the property of Precision Neuroscience, and no fee will be owed in the event a candidate is hired. All qualified candidates should apply directly through our careers page.