Neuroscientist Jobs
Neuroscientist jobs are open across academia, pharmaceuticals, biotechnology, hospitals, and government research institutes, at every level from research associate to principal scientist and director, with specializations in cognitive neuroscience, computational neuroscience, and clinical research. Scan the live roles below and apply to whichever ones fit.
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Beacon Biosignals is transforming precision medicine for the brain, from clinical development to clinical care. For Life Sciences partners, we offer the leading at-home EEG platform for clinical development of novel therapeutics for neurological, psychiatric, and sleep disorders. Our Diagnostics business is building the most comprehensive at-home platform for precision diagnostics, combining EEG and cardiopulmonary signals to deliver reimbursable assessments for sleep and central nervous system disorders. Together, we're changing the way patients are diagnosed and treated for any disorder that affects brain physiology.
Beacon Biosignals is seeking an experienced neuroscientist/data scientist to serve as a scientific partner to Beacon's Life Science customers, working directly with pharmaceutical and biotechnology teams to analyze clinical trial data and extract meaningful insights using Beacon's devices and AI/ML models. In this customer-facing role, you'll be embedded in active client engagements, helping translate complex neural data into scientifically rigorous, decision-relevant results that inform drug development programs across neurological, psychiatric, and sleep disorders.
As a member of Beacon's scientific team, you will design and execute analyses on clinical trial and real-world EEG data, applying statistical, computational, and neuroscientific expertise. You will work closely with customer scientists, clinicians, and program leaders—leading scientific discussions, presenting results, and iterating collaboratively as studies evolve.
You will also act as a critical bridge between customers and Beacon's other internal teams. By deeply understanding customer goals, constraints, and feedback, you will help shape analytical approaches, influence product and model development, and ensure Beacon's technology continues to meet the needs of real-world clinical programs.
At Beacon, we've found that cultural and scientific impact is driven most by those who lead by example. As such, we're always seeking out new contributors whose work demonstrates innate curiosity, a bias toward simplicity, an eye for composability, a self-service mindset, and—most of all—a deep empathy toward colleagues, stakeholders, users, and patients. We believe a diverse team builds more robust systems and achieves higher impact.
Beacon's robust asynchronous work practices ensure a first-class remote work experience, but we also have in-person office hubs located in Boston, New York City, and Paris. For this position, candidates based in the Boston or surrounding area are preferred to minimize logistical hurdles, maximize timezone overlap with colleagues and partners, and facilitate in person client facing connection.
What success looks like
- Lead and support the scientific and technical aspects of multiple concurrent studies, including timeline estimation, task delegation, timely execution, and stakeholder communication.
- Engage with external stakeholders to align their needs with internal capabilities and capacities to ensure analyses bring maximal value while remaining operationally feasible.
- Deliver clear and impactful presentations and data visualizations to varied audiences, both internal and external.
- Leverage Beacon's products and your own subject matter expertise to inform analysis planning and execution.
- Write and review reusable, documented code that produces polished, high quality analytical results for our partners.
- Contribute to statistical analysis plans for clinical trials in collaboration with internal subject matter experts and external stakeholders.
- Co-author scientific reports whose impact pushes the field past contemporary limitations.
- Dig into large, messy, unfamiliar datasets, document their idiosyncrasies and provenance, and harmonize them with Beacon's Datastore.
What you will bring
- You've spent multiple years using your expertise in neuroscience and statistics to analyze data, draw insights, and answer scientific questions for stakeholders.
- You have substantial experience presenting analyses to external audiences of varied backgrounds; you've learned the hard way what does and does not make an understandable and impactful presentation.
- You thrive in a fast-paced, highly customer-facing environment.
- You have excellent written and verbal communication and listening skills.
- You have experience writing and reviewing code in a shared, version-controlled codebase with multiple contributors and users.
- You're painfully aware that thoughtful data curation is a prerequisite to analysis results that hold up under practical application.
- You're familiar with statistical modeling, including interpretation and diagnostics.
- You love teamwork and recognize that people can achieve more together than individually. You value close collaboration, open communication, and tight feedback loops to ensure you and your team are working together effectively and doing your best work.
- You stay calm and organized to meet tight deadlines amidst ambiguity.
- You're familiar with and/or are excited to work with the technologies that power Beacon's data and reporting systems, including Julia, AWS, Superset, Pandoc, SQL, and GraphQL.
- You have exceptional attention to detail and maintain a high standard of quality in your work and output, but you also know when "quick and dirty" is the right approach.
- You're comfortable working in a highly asynchronous hybrid work environment, and have demonstrated success doing so in the past.
The base salary range for this role is $135,000-$183,000, depending on past experience, specific skills, and qualifications. The base salary is one component of the total compensation package, which includes equity, PTO, and other benefits.
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Who's Hiring


Top Industries Hiring
- Science & Research
- Healthcare & Medical Services
What Employers Look For
The qualifications that appear most often in neuroscientist jobs.
- PhD in neuroscience, biology, psychology, or a closely related field
- Hands-on experience with in vivo or in vitro electrophysiology, imaging, or behavioral assays
- Proficiency in data analysis languages such as Python, MATLAB, or R
- Demonstrated record of peer-reviewed publications or conference presentations
- Experience with rodent or other animal model handling and experimental design
- Familiarity with IRB or IACUC protocols and regulatory compliance procedures
Tips for Your Neuroscientist Job Search
Tailor your CV to publication depth
Neuroscientist hiring panels read publication lists closely. For each role, reorder your CV to lead with the papers and preprints most relevant to that lab or team's focus area, and name the methods you used in each study.
Apply early to roles that fit
Migrate Mate lists neuroscientist openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Match your methods to the job description
Hiring managers filter fast on technical fit. If the posting names patch-clamp electrophysiology, optogenetics, or a specific imaging modality like fMRI or two-photon microscopy, those terms must appear in your resume with context, not just as a skills list.
Target postings by funding source
Industry roles at biotech and pharma firms move on different timelines than NIH-funded academic positions. Filter your search by organization type so you're pacing applications correctly and not comparing timelines that don't overlap.
Prepare a research narrative for interviews
Most neuroscientist interviews include a research presentation. Practice explaining your work to both a specialist panel and a mixed audience, because hiring committees often include department heads outside your subfield who evaluate communication as much as science.
Negotiate startup packages at research institutions
Academic and research institute offers often include negotiable components beyond base compensation: startup funds, equipment budgets, lab space, and protected research time. Know which of these matter most to your work before your offer conversation.
Neuroscientist Jobs: Frequently Asked Questions
Which companies are hiring the most neuroscientists?
Astera Institute, LatchBio, and Beacon Biosignals are hiring the most neuroscientists right now, with openings concentrated in California, Florida, and Massachusetts, based on current listings on Migrate Mate as of November 2026. Pharmaceutical companies and academic medical centers account for a large share of active postings.
How many neuroscientist jobs are remote?
About 50% of neuroscientist openings are fully remote or hybrid as of November 2026, though the share varies significantly by role type. Computational and data-focused positions, such as those in computational modeling or neuroinformatics, are most likely to offer remote or hybrid arrangements, while wet-lab and clinical roles almost always require on-site presence.
How do you become a neuroscientist?
Most neuroscientist roles require a PhD, so the path typically starts with a bachelor's degree in biology, psychology, or a related science, followed by doctoral training in a neuroscience program. After the PhD, many researchers complete one or more postdoctoral fellowships to build an independent publication record and develop specialized technical skills before moving into permanent academic, industry, or government positions.
Can you get hired as a neuroscientist with little experience?
Entry-level neuroscientist roles do exist, though they're most accessible to candidates who built hands-on lab experience during their graduate training. Highlighting specific techniques you've mastered, even from coursework or volunteer lab rotations, matters more than years of employment. Research technician and associate scientist positions are realistic starting points that provide the experience needed to move into independent research roles.
What does the neuroscientist interview process look like?
The neuroscientist interview process typically begins with a phone or video screening with a hiring manager or HR contact, followed by an on-site or virtual visit that includes a research seminar where you present your work to the broader team. Candidates also meet individually with multiple faculty members or department leads, and some industry interviews include a written case study or data analysis exercise. The full process often runs across several weeks.
Where can I find and apply to neuroscientist jobs?
You can find and apply to neuroscientist jobs on Migrate Mate, which lists current openings from across the United States in one place. Search the roles available, find the ones that match your background and specialization, and apply directly to each listing that fits.
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