Senior Data Scientist
$130k - $150kAlphatec Spine
The Senior Data Scientist will lead the design, development, and integration of predictive algorithms and automation for surgical planning within the EOS Insight platform. This role focuses on building and refining predictive algorithms, statistical/geometric shape models, and optimization techniques that enable surgeons to plan and simulate spinal procedures with greater precision. The ideal candidate will combine deep technical expertise in predictive modeling and linear algebra with a strong understanding of clinical workflows, working closely with marketing and surgeon partners to define the right algorithms for the right product experience.
Essential Duties and Responsibilities
- Lead the definition, development, and optimization of algorithms and automation for surgical planning applications within the EOS Insight platform.
- Design and implement optimization algorithms and mathematical frameworks grounded in AI/ML, linear algebra and statistics to improve surgical planning and outcome predictions.
- Partner with marketing and surgeon partners to define and drive the use of algorithms and automation in the EOS Insight platform.
- Collaborate cross-functionally with marketing, surgeon partners, development teams, and other stakeholders to translate user needs into algorithmic solutions.
- Mentor team members in developing predictive modeling techniques, statistical methods, and best practices for scalable, production-quality code.
- Develop and execute system and subsystem tests during development, prior to verification and validation (V&V).
- Support compliance testing and product certification processes, including FDA AI/ML-enabled device software functions validation requirements.
- Partner with project managers or directly manage projects to ensure delivery on time and within budget.
- Contribute to and support Design Control Phase reviews.
- Produce thorough, clear design documentation for hand-off to V&V teams, while mentoring others in formal test method development.
- Identify and communicate challenges early to drive cross-functional alignment.
- Perform other related duties as assigned.
- Strong expertise in artificial intelligence/machine learning, statistical shape models (or similar geometric/statistical methods), and/or optimization techniques.
- Ability to deeply understand the clinical and biomechanical underpinnings of spine surgery and translate that understanding to model design.
- Experience working with biomedical/health data is required. Applicants lacking this will not be considered.
- Strong software development skills in Python with an emphasis on writing clean, maintainable, production-quality code.
- Demonstrated leadership in cross-functional technical teams.
- Familiarity with FDA medical device regulations and compliance requirements.
- Ability to document processes, procedures, and results in accordance with regulatory standards.
- Master's degree in Biomedical Engineering, Applied Mathematics, Computer Science, or a related quantitative discipline.
- Minimum of 5 years' experience in predictive modeling or data science for product development, preferably within medical devices.
- Strong foundation in linear algebra, with demonstrated application to modeling or algorithm development.
- Ph.D. in Biomedical Engineering, Applied Mathematics, Computer Science, or similar.
- Knowledge of medical device product life cycles.
- Experience with requirements testing, traceability, and design control processes.
- Experience with cloud computing platforms
$121.4k - $161.8k
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