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 data scientist/biostatistician to help us collect, ingest, analyze, and interpret petabytes of EEG data to drive advancements in brain health. This role is part of the Biostatistics function within Beacon's Data Science Group. The Data Science Group is a diverse set of talented, dedicated individuals with expertise across neuroscience, biostatistics, data wrangling, and more, who collaborate across the organization and externally to answer scientific questions with data. In this role, you'll work in cross-functional teams to support Beacon's Life Sciences engagements with industry partners that power novel therapies for patients with neurological, psychiatric, and sleep disorders. You'll also collaborate with scientists, engineers, and clinicians to draw meaningful insights from real-world data and accelerate neurobiomarker discovery. This role reports to the manager of the Data Science Group.
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 development of statistical analysis plans for clinical trials in collaboration with internal subject matter experts and external stakeholders.
- Perform power and sample size calculations that ensure our and our partners' studies are powered appropriately to measure meaningful effects on the brain.
- Deliver clear and impactful presentations and data visualizations to varied audiences, both internal and external.
- 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.
- Contribute to group-level processes and procedures to help make projects run more smoothly and efficiently.
- Co-author scientific reports whose impact pushes the field past contemporary limitations.
- Write and review reusable, documented, tested code that produces polished, high quality analytical results for our partners and powers our core computational pipelines.
- Leverage Beacon's products and your own subject matter expertise to inform analysis planning and execution.
- Dig into large, messy, unfamiliar datasets, document their idiosyncrasies and provenance, and harmonize them with Beacon's datastore.
- You've spent multiple years in industry using your expertise in (frequentist) biostatistics to design and analyze clinical trials.
- You're deeply familiar with statistical modeling, including interpretation and diagnostics. You pick the right statistical tool for the job and, perhaps most importantly, you know when that tool is not a model.
- 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 experience writing and reviewing code in a shared, version-controlled codebase with multiple contributors and users. You write unit tests and documentation to ensure correctness and usability.
- You're painfully aware that thoughtful data curation is a prerequisite to analysis results that hold up under practical application.
- 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 have excellent written and verbal communication and listening skills.
- 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.
We welcome applicants who are well established in their careers and those who bring senior-level expertise.
The base salary range for this role is determined based 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.
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.
