Senior Data Scientist at Epicor responsible for designing, building, and deploying ML solutions that empower customers. Collaborating across teams to ensure ML solutions deliver measurable value.
About the role
- Clinical Data Scientist analyzing datasets from clinical studies of brain-computer interface technology. Collaborating across teams to drive insights into engineering processes and product design.
Responsibilities
- Generate analyses and visualizations of clinical neural and behavioral datasets.
- Evaluate clinical and engineering metrics across large-volume clinical datasets.
- Maintain data tracking tools and ensure organized, consistent clinical data aggregation
- Support clinical experiment planning and hands-on data collection in the intraoperative and ICU settings.
- Consolidate and communicate data insights with cross-functional teams to inform clinical experiment design, product improvements, and business decision making.
- Organize and present results to external collaborators and contribute to scientific publications.
- Contribute to statistical analysis plans for regulated clinical studies.
Requirements
- BS or higher in neuroscience, computer science, statistics, engineering or related fields.
- 3+ years of experience in academic or industry computational research settings.
- Experience analyzing time series and/or electrophysiology data.
- Proficiency in Python, Matlab, or R.
- Excellent verbal and written scientific communication skills.
- Track record of bringing data analysis projects to completion in a timely fashion with concrete, interpretable results.
- Preference for experience working in BCI or neuroscience related fields.
- Preference for experience designing statistical analysis plans for regulated clinical trials.
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