Neuroscientist

This is a fully remote position, open to applicants in Massachusetts.

📋 Description

• Act as a scientific collaborator for Life Sciences clients, engaging directly with teams in pharmaceuticals and biotechnology.

• Evaluate clinical trial and real-world EEG datasets utilizing statistical, computational, and neuroscientific knowledge.

• Convert intricate neural data into scientifically robust, decision-making results for drug development initiatives.

• Develop and implement analyses on clinical trial and real-world EEG data.

• Collaborate with client scientists, clinicians, and program managers.

• Facilitate scientific dialogues, showcase findings, and work collaboratively as studies progress.

• Connect customers with Beacon’s internal teams by grasping client objectives, limitations, and feedback.

• Assist in defining analytical methodologies and impact product and model innovation.

• Oversee and assist multiple simultaneous studies, including timeline forecasting, task assignment, execution, and communication with stakeholders.

• Align the needs of external stakeholders with internal capabilities and resources.

• Present findings and data visualizations to both internal and external stakeholders.

• Write and evaluate reusable, documented code that generates analytical outputs.

• Contribute to the creation of statistical analysis plans for clinical trials.

• Co-author scientific publications.

• Research, document, and standardize large, complex, unfamiliar datasets within Beacon’s Datastore.

⛳️ Requirements

• Several years of utilizing neuroscience and statistical expertise to analyze data, draw conclusions, and address scientific inquiries for stakeholders.

• Significant experience presenting analyses to external audiences with diverse backgrounds.

• Background in a fast-paced, customer-centric environment.

• Strong written and verbal communication as well as listening skills.

• Experience in writing and reviewing code within a shared, version-controlled codebase involving multiple contributors and users.

• Considerate data curation experience.

• Familiarity with statistical modeling, including interpretation and diagnostics.

• Knowledge of and/or enthusiasm for technologies such as Julia, AWS, Superset, Pandoc, SQL, and GraphQL.

• Outstanding attention to detail and commitment to high-quality standards.

• Ability to thrive in a highly asynchronous hybrid work setting, with proven prior success.

• Expertise in neuroscience and statistics.

• Preference for candidates located in the Boston area or its surroundings.

🏝️ Benefits

• Equity.

• Paid Time Off (PTO).

• Support for remote work through asynchronous practices.

• Physical office hubs located in Boston, New York City, and Paris.