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Beacon Biosignals is seeking an experienced data scientist/biostatistician to help 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. 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.
Job Responsibility:
Lead and support the development of statistical analysis plans for clinical trials
Perform power and sample size calculations
Deliver clear and impactful presentations and data visualizations to varied audiences
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
Contribute to group-level processes and procedures
Co-author scientific reports
Write and review reusable, documented, tested code
Leverage Beacon's products and 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
Requirements:
Multiple years in industry using expertise in (frequentist) biostatistics to design and analyze clinical trials
Deep familiarity with statistical modeling, including interpretation and diagnostics
Substantial experience presenting analyses to external audiences of varied backgrounds
Experience in a fast-paced, highly customer-facing environment
Experience writing and reviewing code in a shared, version-controlled codebase with multiple contributors and users
Experience with thoughtful data curation
Excellent written and verbal communication and listening skills
Ability to stay calm and organized to meet tight deadlines amidst ambiguity
Familiarity with and/or excitement to work with Julia, AWS, Superset, Pandoc, SQL, and GraphQL
Exceptional attention to detail and a high standard of quality
Comfort working in a highly asynchronous hybrid work environment, with demonstrated past success