Data Engineer, Encounters Intelligence Boston or RemoteAcuityMD, Inc. • Boston, Massachusetts, United States

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Data Engineer, Encounters Intelligence Boston or Remote

AcuityMD, Inc.

Boston, Massachusetts, United States

Boston, Massachusetts, United States

Jetzt Bewerben

Über

AcuityMD is a software and data platform that accelerates access to medical technologies. We help MedTech companies understand how their products are used, why customers vary, and identify opportunities for physicians to better serve their patients. Each year, the FDA approves ~6,000 new medical devices. Our solution helps MedTech companies get these products to physicians more effectively so they can improve patient care with the latest technology. We’re backed by Benchmark, Redpoint, ICONIQ Growth, and Ajax Health. We’re a high‑growth AI and Data company scaling rapidly. We are a team of agentic builders who rely heavily on AI development practices to accelerate our ability to deliver value to our customers. We believe in extreme ownership and agency, where every engineer takes responsibility for working throughout the organization to land impact with customers. We’re a close‑knit team that enables high levels of autonomy by constantly communicating our intentions, sharing problems and learnings, and helping each other learn and grow. In this role, you will help lead the evolution of AcuityMD’s core healthcare data assets. You will build new data and intelligence products, improve the quality and interpretability of existing data products, and deliver high confidence and repeatable intelligence that fuels our MedTech‑specific modules. You will identify new approaches and new data that improve the quality of our data assets. You will report to the Engineering Manager, Data, and work cross‑functionally with engineering, product, and commercial organizations. We are hiring for multiple levels! Team Mission
The Data Team is on a mission to represent medical reality by transforming raw data into assets that directly generate sales for our customers and help bring cutting‑edge medical technology to the patients that need it most. We thrive on the challenge of turning complexity into simplicity and driving the continuous growth of our products. We acquire terabytes of data from diverse sources, and refine them with modern data processing tools and machine learning algorithms. This shapes the future of our products and delivers value to the customers. Responsibilities
Transform, model, and integrate raw data of varying quality from a wide range of data sources into usable, documented and high quality data and intelligence products by applying data modeling and statistical techniques Identify, research, and develop new statistical approaches and new types of data to improve and extend our core healthcare data products Lead feature and product development cycles from defining customer problem statements through to delivering solutions Work directly with product managers and cross‑functional stakeholders to influence and build our product development plans and roadmap Provide thought leadership on data science techniques and mentor junior data engineers Document and communicate technical and quantitative concepts, schemas, and data product usage guidelines with appropriate levels of detail for internal and external stakeholders Your Profile
You have 4+ years of experience working in a data science or similar role, delivering analytic models as data products or data solutions You have professional experience working with time series, geospatial, and/or demographic datasets to make forecasts or predictions You are excited by extracting signals and information from messy, real‑world datasets You can translate and explain technical requirements, recommendations and code clearly and concisely for non‑technical audiences You are opinionated about statistical techniques or Python libraries Nice to Haves
Familiarity across our data stack – BigQuery, Google Cloud Storage, dbt & Dagster Familiarity with insurance billing and other healthcare datasets Familiarity with incorporating large language models into development workflows AcuityMD is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, market data and may vary from the range provided. Base salary range: $155,000 – $220,000. You must have an eligible work permit in the USA to be considered for this position. We Offer
Ground floor opportunity : Join a high‑growth startup, backed by world‑class investors across Enterprise SaaS and Medical Devices (Benchmark, Redpoint Ventures, and Ajax Health). Learning Budget : Reimbursements for relevant learning and up‑skilling opportunities. Remote work : AcuityMD is committed to supporting full‑remote flexibility for employees in the US. We provide a work‑from‑home stipend for all employees. Flexible PTO : Generous time off and flexible hours give you the freedom to do your best work. Paid Health, Dental, and Vision Plans : We offer 100% paid health, dental, and vision plans for all employees and 75% paid for our employees’ dependents. Home Office Stipend : $1,000 to invest in remote office equipment and Wi‑Fi reimbursement. Optional Team Retreats : We meet in‑person multiple times per year for co‑working and social gatherings. Parental Leave : 8–16 weeks of fully‑paid, flexible parental leave. AcuityMD is an Equal Opportunity Employer. AcuityMD is seeking to create a diverse work environment because all teams are stronger with different perspectives and life experiences. We strongly encourage people of all backgrounds to apply. We do not discriminate on the basis of race, gender, religion, color, national origin, sexual orientation, age, marital status, veteran status, or disability status. All employees and contractors of AcuityMD are responsible for maintaining a work culture free from discrimination and harassment by treating others with kindness and respect.
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Boston, Massachusetts, United States

Sprachkenntnisse

English

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