N1 Health

Applied AI platform for healthcare analytics

Associate Data Ops Engineer

Data EngineeringConfirmed live in the last 24 hours

Full-timeBoston, MA, USA$70k - $90k /yr

About the Job

Requirements

A bachelor's degree or education in computer science or a related field is required.
Zero to two years of prior software engineering experience is required.
Proficiency in Python and SQL, or demonstrated ability to learn new languages quickly, is required.
Strong written and verbal communication skills with internal and client teams are expected.
Ability to work on complex projects with multiple stakeholders is expected.
Commitment to understanding the healthcare industry, including data and security requirements, is expected.

Responsibilities

Manage healthcare data complexity and deliver data scalably to end users.
Work on client-facing teams with data scientists, project managers, and expert staff to deploy the product and add data sources to enhance models.
Own data specifications, schema design, data pipelines, and machine learning pipelines for the team, using Python and SQL to automate and scale them.
Build scalable pipelines on the platform and develop new tools that add value.
Communicate with stakeholders about how best to deploy solutions to drive healthcare outcomes.
Own feature engineering and data modeling to ensure data is ready for analysis.
Deploy and scale machine learning pipelines that power patient programs.
Work directly with client teams to manage data service-level agreements, documentation, and integration.
Write well-documented and versioned code that supports repeatable work.

Desired Qualifications

Ability to tell a compelling, data-driven story.
A proactive, ownership-oriented approach to a variety of problems.

Salary Range: 70000 to 90000 (Currency: USD) (Pay period: per-year-salary)

Data Ops Engineers at N1 Health are tasked with managing the broad complexity of healthcare data and scalably delivering it to end users. In this role, you will work on client-facing teams of data scientists, project managers, and expert staff to deploy our product and add new data sources to enhance our models. You'll own data specifications, schema design, data pipelines, and ML pipelines for the team, and you'll use Python and SQL to automate and scale them. As a client-facing engineer, you'll build scalable pipelines on top of our platform, think creatively about building new tools that add value, and communicate with stakeholders about how best to deploy them to drive meaningful healthcare outcomes.

Technical Requirements

We’re looking for motivated teammates who are ready to learn and grow. If you’re passionate about what we do and don’t meet every requirement, we’d still love to hear from you.
Bachelor’s degree or education in computer science/related field
0-2 years of prior software engineering experience
Proficiency in Python and SQL, or demonstrated ability to learn new languages quickly

The Ideal Fit

Strong written and verbal communication skills with internal and client teams
Demonstrated ability to work on complex projects with multiple stakeholders
Proactive team-player who takes ownership and initiative on a variety of problems
Ability to tell a compelling and data-driven story
Commitment to understanding the healthcare industry, including data and security requirements

What You Will Do

Own feature engineering and data modeling to ensure data is ready for analysis
Deploy and scale machine learning pipelines that power large scale patient programs
Work directly with client teams to manage data SLAs, documentation, and integration
Write well-documented and versioned code that supports repeatable work

We celebrate diversity and are committed to creating an inclusive environment for all employees.

If you are excited about a role but your experience doesn’t seem to align perfectly with every element of the job description, we encourage you to apply. You may be just the right candidate for this, or one of our many other roles.

N1 Health is proud to be an Equal Opportunity Employer. Our vision is to foster an environment in which all N1 Health employees of diverse backgrounds and identities feel supported and empowered through the ongoing development of a shared, inclusive culture. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. For individuals with disabilities who would like to request an accommodation, please email [email protected], and for any questions around diversity, equity, and inclusion, please reach out to the leaders of our internal Equity Group at [email protected].

About the Company

N1 Health

Applied AI platform for healthcare analytics

N1 Health provides predictive analytics for health plans and provider organizations through a data-science-as-a-service model that combines client data with its own large proprietary dataset. Its platform builds patient-level predictions using models trained on real-world health interventions, with a strong emphasis on social determinants of health to identify barriers to care and tailor outreach. Unlike purely software vendors, it ships expert data science and customer experience teams to translate insights into concrete actions, such as targeted outreach and care management. The goal is to help clients optimize performance under value-based care by improving engagement, reducing costs, and closing gaps in care to improve individual health outcomes.

Company size: 11-50
Company stage: Early VC
Total funding: $3.4M
Headquarters: Glen Allen, VA
Founded: 2010

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