Lead Data Scientist - Arine

Why Arine:

Medications frequently cause more harm than good, with incorrect drugs and doses costing the US healthcare system over $520 billion each year. The company solves these issues through their “Virtual Pharmacist” software platform, which combines data science and clinical expertise to develop personalized care plans for patients and their care teams. 

We are improving the health of complex patients facing numerous challenges, including multiple chronic diseases and access to care issues. Arine works with leading healthcare organizations to provide and facilitate clinical interventions that have resulted in significant health improvement for patients and cost savings for customers.

The Role:

This is a hands-on technical leadership role with executive-level visibility, a finger on the pulse of the overall business, and broad impact for someone who exhibits intellectual curiosity and rigor, and a capacity of execution to tackle some of the most critical technical challenges that span the breadth of our business.

Reporting to our CTO, you will grow and lead a team of experienced data scientists. You will act as both a people and technical thought leader.

• You are an expert data scientist with extensive experience managing/directing data science teams, implementing team processes, and managing direct reports. 
• You have expertise in advanced statistical methods including survival analysis, causal inference, matched-pair analyses.  
• You have experience designing, building, and presenting analyses on health care utilization and outcomes, maintaining a high level of scientific and statistical rigor and quality.
• You have experience interpreting and cleaning healthcare data, especially healthcare claims data.
• You are a thought leader for the team’s work on product analytics and experimentation, modeling and predictive analytics, and drive the overall data strategy for the company.
• Work closely with Customer Success and Clinical Operations to design data-driven product features and care program improvements.
• You have expertise in machine learning techniques, design patterns, and best practices for predictive modeling, including shipping machine learning models to production systems and evaluating their performance.
• Bonus points if you thrive in a fast-paced early-stage technology startup environment.

The posted range represents the expected salary range for this job requisition and does not include any other potential components of the compensation package, benefits and perks previously outlined. Ultimately, in determining pay, we'll consider your experience, leveling, location and other job-related factors. San Francisco Base Pay Range: $180,000 - 200,000 USD