About the Role

As an early member of the Particle Health Analytics team, you will be a pioneer and a partner in shaping and executing foundational components of our analytics strategy, helping to define key models for some of the most interesting and challenging problems in healthcare. As a recognized expert on experiment design and statistical significance within the company, you will play a crucial role in identifying the limits of inference within our data and work closely with product and engineering to identify new analytical products, helping to ensure that our product roadmap continues to evolve toward products that are not only desirable, but feasible and viable as well. 

A “day in the life” of a Sr Data Scientist at Particle will almost certainly involve a lot of curiosity– being willing to talk to stakeholders, investigate the complexities of patient-level data, and understand the regulatory and compliance controls that govern our space. You’ll work directly with executive leadership to help define Particle’s analytics strategy in the marketplace. You will think critically about how we can isolate key outcomes within our data and build models showcasing approaches toward identifying treatment adherence, gaps in care, risk scoring, and more. And you will work directly with the data engineering function to ensure that these are carried through into production. 

What You’ll Do:

• Assess the quality and completeness of Particle’s data for a wide range of applications
• Work directly with executive leadership to form an overall analytics strategy based on that assessment
• Identify gaps in data and help determine an acquisition strategy to expand the range of possible applications
• Work directly with product and engineering leadership to scope and prioritize the most valuable opportunities within our data
• Lead development of models and deploy them into production
• Be an expert, trusted voice on Particle’s data landscape

What We Look For:

• Critical thinking and a passion for problem solving– experiment design is a primary responsibility, and the best candidate will be someone who has an innate curiosity and ability to break down complex data sets to isolate key outcomes
• Creativity in the face of data limitations– you’ll have as much room to frame the questions as you will to find the answers, in many cases, and creativity about how we approach our market will be a great asset
• Enthusiasm for ‘green field’ development– as one of the foundational members of Particle’s analytics team, you’ll have a tremendous opportunity to help build the function
• Commitment to end-to-end delivery– the best candidate will be someone who’s energized by seeing their work carried directly into the hands of end users, and wants to take an active role in productionalization
• Communication of complex technical concepts to nontechnical-stakeholders

Preferred Qualifications:

• 8+ years of experience developing complex ML / statistical models
• Master's degree in a technical field or equivalent practical experience.
• Strong Python experience, with preference toward experience with Spark
• Experience with both supervised and unsupervised ML modeling techniques, with a contextual understanding of the limitations and advantages of each 
• Experience with healthcare data & formats (e.g. FHIR)
• Experience with de-identification techniques / statistical reidentification risk
• Experience with SQL 
• Familiarity with ML Ops solutions as a way to streamline the develop/train/test/deploy process

Benefits

• Unlimited PTO
• Flexible, Remote Work Environment
• 100% Paid Health Benefits
• Employer Funded 401(k) Match
• 14 Week Parental Leave
• Mental Health Benefits
• Fully Paid 1 Week Shutdown in the Summer 
• Fully Paid 1 Week Shutdown in the Winter 

#LI-Remote

Particle Health is an equal opportunities employer, and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.