Beacon Biosignals is on a mission to revolutionize precision medicine for the brain. We are the leading at-home EEG platform supporting clinical development of novel therapeutics for neurological, psychiatric, and sleep disorders. Our FDA 510(k)-cleared Waveband EEG headband and AI algorithms enable quantitative biomarker discovery and implementation. Beacon’s Clinico-EEG database contains EEG data from nearly 100,000 patients, and our cloud-native analytics platform powers large-scale RWD/RWE retrospective and predictive studies. Beacon Biosignals is changing the way that patients are treated for any disorder that affects brain physiology.
Beacon Biosignals is seeking an experienced sr. 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 Data Science Group, you will design and execute analyses on real-world and clinical trial 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 United States are preferred to minimize logistical hurdles and maximize timezone overlap with colleagues and partners.
- 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, tested code that produces polished, high quality analytical results for our partners and powers our core computational pipelines
- 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
- 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 salary range for this role is $160,000-$183,000. Salary ranges are determined using current market compensation data for this role and adjusted based on experience, skills, and location. The base salary is one component of the total compensation package, which includes equity, PTO, and other benefits.
At Beacon, we've found that cultural and scientific impact is driven most by those that lead by example. As such, we're always seeking new contributors whose work demonstrates an avid curiosity, a bias towards simplicity, an eye for composability, a self-service mindset, and - most of all - a deep empathy towards colleagues, stakeholders, users, and patients. We believe a diverse team builds more robust systems and achieves higher impact.