Beacon Biosignals
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Sr. Neuroscientist, External Scientific Programs
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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
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Forward Deployed Engineer
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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 forward-deployed analytics engineer to support customers in making the most of our real-world datasets and accelerate growth of our analytics product offerings. As a member of the Analytics Suites Team, you'll partner with customers to develop custom data models, visualizations, and integrations to apply Beacon’s platform-hosted analytics to meet their needs. Your data solutions will transform, enrich, and summarize our ever-growing datasets of biosignals, machine learning outputs, biosignal-derived metrics, and clinical metadata. You'll also design and maintain canonical data representations and automated data pipelines and the scientific products that they power, from automated scientific reports to interactive dashboards. This is a customer-facing, product-oriented role - you'll work directly with Beacon’s customers and alongside engineers, product managers, scientists, and clinicians to turn scientific questions into robust, versioned data products. This role reports to the manager of the Analytics Suites Team within the Analytics and Machine Learning domain at Beacon.
Why this role? You'll help define Beacon's analytics offerings for sleep-focused data partnerships, and you'll develop new data flows that power internal efforts to identify novel biomarkers for sleep disorders and other neurological diseases.
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.
This position is based in the Boston area to support regular onsite customer engagement and close partnership with our Boston-based team.
What success looks like
- Work directly with external partners and customers to understand their data needs, analytical workflows, and technical constraints, and translate those into concrete solutions leveraging Beacon analytics products and tools
- Lead discussions on data-oriented technical challenges and solutions with a variety of audiences, communicating clearly and tailoring explanations to achieve an appropriate level of technical depth
- Design and implement custom data solutions for customers, developing on either the Beacon platform or the customer’s platform depending on the problem at hand
- Provide synchronous support, documentation, and example solutions that highlight Beacon’s analytics capabilities that empower customers to self-serve analytics and use them as inputs to their own bespoke analyses
- Build and maintain core analytics products including versioned data models, dashboards, and reports that power real-world data investigations, clinical diagnostics, and clinical trials
- Translate lessons learned from external partnerships into analytics product improvements
- Develop templates, documentation, and practices for real-world data partnerships that reduce repeated efforts
What you will bring
- 6+ years developing, testing, and maintaining SQL transformations to deliver reproducible analytic results in a production setting atop data platforms such as Snowflake or Databricks
- Experience with dbt is a strong plus, but not required - we welcome candidates who are eager to learn
- 2+ years in a customer-facing role, developing and managing customer relationships
- Proven ability to work directly with customers to understand their needs, lead technical conversations (discovery calls, deep dives, and solution walkthroughs), and deliver technical solutions
- Familiarity with a scientific programming language such as Julia, Python, or R
- Clear written and verbal communication skills, including the ability to convey complex analytics concepts to a variety of audiences
- Strong asynchronous communication skills and a knack for making the most of synchronous collaboration
- Product-oriented intuition for translating customer needs into configurable solutions and broadly applicable features
The salary range for this role is $170,000 – $190,000. 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.
#LI-Remote
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Manager, Algorithms and Machine Learning
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Beacon Biosignals is seeking an Algorithms Manager to lead a group within the ML and Biomarker group. The ML and Biomarker group is responsible for building, productionizing, and maintaining the algorithmic systems that power Beacon’s core capabilities, including machine learning model development, training and evaluation pipelines, biomarker development workflows, and the services that support reliable deployment and operation.
In this role, you will lead a team of 5-7 engineers and be accountable for the team’s execution, health, and results. You will partner closely with technical and cross-functional stakeholders to translate company priorities into a clear roadmap, sound technical decisions, and strong team performance. This role reports to the Algorithms Senior Manager.
You are expected to bring sufficient technical depth in machine learning and algorithm development to evaluate approaches, guide tradeoffs, identify risks, and support high-quality decisions.
At Beacon, cultural and scientific impact comes from people who lead by example. We look for colleagues whose work reflects curiosity, sound judgment, a bias toward simplicity, a self-service mindset, and deep empathy for teammates, stakeholders, users, and patients. We believe diverse teams build more robust systems and achieve higher impact.
Beacon’s asynchronous work practices support a strong remote experience, with in-person hubs in Boston, New York, and Paris. The Algorithms organization is distributed across American and European time zones. This role is located in the US, with a preference for candidates near our Boston or New York hubs.
What success looks like
As a successful manager at Beacon, you will:
- Lead a high-performing Algorithms group through hiring, coaching, performance management, and clear expectations around ownership and impact.
- Be accountable for the team’s delivery against goals, ensuring alignment with Beacon’s strategy, regulatory requirements, and quality standards.
- Support engineer in making technical decisions across model development, biomarker pipelines, evaluation, and production systems, supporting the team in making sound tradeoffs.
- Help your team scope out and prioritize tactical week-to-week work in direct connection with Beacon's wider strategic initiatives.
- Ensure your team's development roadmap is outcome-oriented, up-to-date, aligned with the company's objectives and other teams' priorities, and communicated effectively to other stakeholders within Beacon.
- Own project management responsibilities for team initiatives, including defining scope, managing timelines, and ensuring expectations are set both internally and externally.
- Develop, refine, and own team-based processes that allow for efficient execution, communication, and coordination.
What you will bring
- Experience managing a mid-sized ML or algorithm engineering team, with a track record of coaching, hiring, and growing individuals across levels while maintaining strong team health and accountability.
- Proven ability to lead teams through technically complex, ambiguous work with cross-functional dependencies, balancing short-term delivery with longer-term capability building.
- A strong depth of knowledge in algorithm/ML-model development, deploying production-ready ML systems, and model-maintenance to assess approaches, guide tradeoffs, and make sound decisions.
- Experience operating within established frameworks and improving team-level ways of working, including prioritization, planning, and execution, while pragmatically addressing delivery friction and scaling challenges.
- Strong communication and stakeholder management skills, with the ability to align partners around decisions, tradeoffs, and evolving plans, including in regulated or quality-sensitive environments.
- A bias toward simplicity, with the ability to introduce the right level of process, avoid unnecessary complexity, and continuously improve how the team works.
- Experience developing ML or algorithmic systems in regulated domains, with familiarity in regulatory submissions, including validation, reproducibility, documentation, and model governance requirements.
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