Manager of Data Science and Algorithms
About The Position
Master's degree in Computer Science, Software, Biomedical or Neuro Engineering, Statistics, Biostatistics, or a related field. Minimum of 7 years' experience building algorithms and/or data products from early concept through production. Experience with neuromodulation systems. Experience in clinical studies, including data collection design, analysis, and publication. Experience defining data collection methodologies and analyzing data from digital applications and IoT devices. Experience working with data from regulated medical products, including digital health and implantable devices. Proven experience creating and implementing data governance models for health data that may include PII/PHI. Experience in setting direction and goals for data scientists, analysts, and data engineers. Demonstrated ability to define and prioritize needs for data products. Experience managing external data-related collaborations and partnerships. Experience with AWS cloud computing tools. Ability to travel up to 25%. PhD in Computer Science, Software, Biomedical or Neuro Engineering, Statistics, Biostatistics, or a related discipline. Previous experience in a management or team leadership role. Experience delivering scalable data products in a healthcare or regulated environment. Background in clinical or scientific research. Strong analytical skills and a demonstrated commitment to data-driven decision-making. Hands-on coding experience with Python, R, or similar languages. Track record of fostering collaborations between academia and industry, including publications and grant writing. Strong public speaking skills with the ability to present to scientific and medical audiences.
Requirements
- Master's degree in Computer Science, Software, Biomedical or Neuro Engineering, Statistics, Biostatistics, or a related field.
- Minimum of 7 years' experience building algorithms and/or data products from early concept through production.
- Experience with neuromodulation systems.
- Experience in clinical studies, including data collection design, analysis, and publication.
- Experience defining data collection methodologies and analyzing data from digital applications and IoT devices.
- Experience working with data from regulated medical products, including digital health and implantable devices.
- Proven experience creating and implementing data governance models for health data that may include PII/PHI.
- Experience in setting direction and goals for data scientists, analysts, and data engineers.
- Demonstrated ability to define and prioritize needs for data products.
- Experience managing external data-related collaborations and partnerships.
- Experience with AWS cloud computing tools.
- Ability to travel up to 25%.
Nice To Haves
- PhD in Computer Science, Software, Biomedical or Neuro Engineering, Statistics, Biostatistics, or a related discipline.
- Previous experience in a management or team leadership role.
- Experience delivering scalable data products in a healthcare or regulated environment.
- Background in clinical or scientific research.
- Strong analytical skills and a demonstrated commitment to data-driven decision-making.
- Hands-on coding experience with Python, R, or similar languages.
- Track record of fostering collaborations between academia and industry, including publications and grant writing.
- Strong public speaking skills with the ability to present to scientific and medical audiences.
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What This Job Offers
Job Type
Full-time
Career Level
Manager
Number of Employees
5,001-10,000 employees
