Hybrid Principal Data Scientist Principal Data Scientist

About Podimetrics:

Founded in 2011, Podimetrics set out on a mission to improve patient lives through early detection and prevention of diabetic foot ulcers, the leading cause of lower limb amputations. Podimetrics has since evolved to become a rapidly growing virtual care management company with advanced technology and patient-centered services.

Today, Podimetrics teams with and provides solutions to patients, payers and providers that alleviate the health and financial implications of diabetic foot complications in high-risk populations. We are a mission driven, financially responsible enterprise that enables patients to stand on their own feet and live more independent and fulfilling lives.

Core Values:

• People First: We care for our people: team, patients, clinicians & health plans, and stockholders
• Equity Through Diversity: We commit to fostering an inclusive work environment where ideas come from all people to best meet the diverse needs of those we serve
• Empathy & Compassion: We seek to understand and take action to improve
• Respectful Candor: We are direct in communication and work to create an environment where all can share their perspectives without risk of repercussions
• Active Curiosity: We are deeply curious, always striving to learn more and do better.
• Resourcefulness: We are deliberate in our investment of team and capital, creating opportunity regardless of resources
• Do the Right Thing: We do the right thing, consistent with our values, even when it is challenging
• Enjoy the Ride: We are going to have a lot of fun doing it!

Role Description:

Reporting directly to and working closely with the Director of Data Science, the Principal Data Scientist will serve as a crucial individual contributor to the Data Science & Analytics department. Commensurate with Podimetrics’ mission, the primary objective for the Principal Data Scientist is to improve patients’ lives through the early detection and prevention of diabetic foot complications by employing their skill and expertise in data science practices throughout the organization to support timely, data-driven decision making and develop innovative solutions. This senior technical and collaborative role will work with members of the Data Science & Analytics teams along with Data Engineering, Software, and R&D to develop advanced recommendation systems, leveraging structured and unstructured data. The ideal candidate will have a strong background in data science methodologies, experience with AWS cloud services, and a passion for transforming healthcare through technology.

Key Responsibilities:

• Data Analysis and Modeling: Conduct sophisticated data analysis and develop models using both structured and unstructured data to inform recommendations.
• Recommendation Engine Development: Design and implement robust recommendation systems to enhance patient care and optimize clinical workflows.
• AWS Cloud Services: Utilize various AWS tools and services to manage, process, and analyze large datasets efficiently.
• Cross-Functional Collaboration: Work closely with clinical experts, engineers, and business leaders to integrate data-driven insights into practical applications and products.
• Innovative Solutions: Explore and identify new data sources and analytical techniques to improve model accuracy and effectiveness.
• Reporting and Visualization: Develop intuitive visualizations and reports to communicate findings and recommendations to both technical and non-technical stakeholders.
• Expertise in machine learning: Develop supervised and unsupervised models for risk stratification and classification of dispositions.
• Expertise in LLMs: Ability to utilize existing LLMs and employ RAG and fine-tuning to optimize LLMs
• Leadership: Acts as a technical leader and mentor for the data science team, guiding junior data scientists

Qualifications:

• Master’s Degree (PhD preferred) in Data Science, Computer Science, Statistics, or related field
• At least 10+ years of SQL experience
• At least 10+ years of hands-on Python experience
• Experience working with unstructured databases, e.g. DynamoDB
• Advanced experience employing image processing techniques, i.e. computer vision, and utilizing tools for medical imaging analysis
• Experience with auditory data analysis and processing techniques for use in sentiment analysis
• Excellent written and verbal communication
• Commitment to capturing and maintaining high quality data
• Dedicated problem solver and self-starter
• Ability to effectively work and collaborate remotely
• Deep knowledge of machine learning, deep learning, and AI techniques, with experience deploying models in clinical settings

Benefits:

• Base Pay: 160,000+ commensurate with experience, bonus opportunity and equity shares
• Flexible Paid Time Off
• 16 weeks of paid parental leave
• Competitive Medical, Dental, and Vision plans – Podimetrics covers 80% of premiums.
• Health Savings Account
• Health Reimbursement Account
• Employee Assistance Program - Free, confidential advice for team members who need help with stress, anxiety, financial planning, and legal issues.
• 401k; match up to 4%
• Life Insurance - Podimetrics pays 100% of the cost of Basic Life & Personal Accident
• Disability insurance – Podimetrics pays 100% of the cost of Short-Term and Long-Term Disability Insurance
• Additional life insurance, critical illness, and accident coverages are available

Podimetrics is committed to a diverse and inclusive workplace. We are an equal opportunity employer and do not discriminate based on race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.