Director, Analytics Systems

🕒 September 21

🍂 Massachusetts – Remote

🍂 Massachusetts – Remote

⏰ Full Time

🔴 Lead

👔 Director

👻 Ghost score 30%

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Beacon Biosignals

WebsiteLinkedInAll Job Openings

11 - 50 employees

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

Beacon Biosignals is a company focused on powering precision medicine for the brain. Their EEG neurobiomarker platform is engineered to accelerate clinical trials and enable new treatments for patients with neurological and psychiatric diseases. The platform captures a rich array of the brain's activity in real time and utilizes machine learning to analyze EEG data for treatment efficacy, dose selection, and population stratification. Beacon Biosignals partners with biopharma companies, academic medical centers, and neurotechnology developers to improve the diagnosis and treatment of neurological and psychiatric diseases.

📋 Description

• Manage 6-10 engineers and eventually managers on Beacon's Analytics Systems Team • Coach team members and guide their professional growth • Develop understanding of team activity and products to improve internal processes and integration with Beacon • Steward engineering practices and maintain standards for engineering quality, productivity, and accountability • Scope and prioritize tactical work in alignment with strategic initiatives and other teams • Maintain an outcome-oriented, current, and aligned development roadmap • Communicate roadmap and priorities to internal stakeholders • Own project management for team initiatives, including scope, timelines, and expectations • Drive product direction and discovery for the Analytics Systems Team • Establish processes and cross-functional connections to build product intuition • Own prioritization decisions for high-impact customer and business problems • Develop and execute a strategic vision for Analytics Systems supporting Life Science projects, diagnostic workflows, and biomarker discovery using real-world data • Report directly to Beacon's VP of Analytics and Machine Learning

🎯 Requirements

• 6+ years of management experience • Familiarity with managing mid- to large-sized analytics engineering teams • Experience and knowledge across analytics engineering, including dbt and SQLMesh • Experience with data modeling and pipelines, including Snowflake, Databricks, Argo, and Airflow • Experience with BI tooling, including Superset, Looker, and Tableau • Experience working in medical devices, clinical diagnostics, real-world data, pharma/biotech, or related fields • Experience working in a regulated industry and navigating strict design controls • Strong communication and stakeholder management skills • Ability to align partners around decisions, tradeoffs, and evolving plans • Ability to understand user needs and translate them into prioritization decisions • Track record of anticipating company-wide needs and opportunities • Experience addressing bandwidth limitations, technical debt, and non-iterative processes

🏖️ Benefits

• Equity • PTO • Other benefits • Remote work experience • In-person office hubs available in Boston, New York, and Paris

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