Beacon Biosignals - Neuroscientist, External Scientific Programs

• 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 $135,000 – $155,000. 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.