Similar Jobs at Arcadia
Big Data • Fitness • Healthtech • Information Technology • Software • Analytics
Lead the rearchitecture and implementation of Arcadia's User Management system, focusing on authentication and authorization frameworks. Drive new systems and mentor engineers to ensure secure data access and operational excellence.
Top Skills:
AngularAuth0AWSJwtNestjsNode.jsOauth2PostgresReactSaml 2.0TerraformTypescript
Big Data • Fitness • Healthtech • Information Technology • Software • Analytics
The VP of Life Sciences Sales at Arcadia will build and manage relationships with pharma and biotech companies, originating and closing deals using data-driven solutions. Responsibilities include leading sales efforts, coordinating execution, and scaling the sales team.
Top Skills:
AnalyticsDataEvidence-Based Solutions
Big Data • Fitness • Healthtech • Information Technology • Software • Analytics
As a Full Stack Engineer, you will develop applications for healthcare coordination using React and Kotlin, integrating AWS and AI technologies.
Top Skills:
AIAthenaAWSHudiJavaKotlinRdsReactRubyS3Spring BootTypescript
Arcadia is dedicated to happier, healthier days for all. We believe that there is a better healthcare world – one powered by data. Our platform transforms complex, diverse data into a unified foundation for health, helping organizations deliver better care, boost revenue, and lower costs.
We’re a team of fiercely driven individuals committed to making healthcare more sustainable—and we’re looking for passionate people to help us get there.
For more information, visit arcadia.io.
Why This Role Is Important to Arcadia
The Associate Data Scientist will join Arcadia’s Data Science team as a key contributor to the development of machine learning models, customer-facing deliverables, and strategic insights that support data-driven decision-making across the organization. This role reports to the Senior Director of AI and Predictive Modeling and represents a pivotal step in the evolution of Arcadia’s machine learning initiatives.
The ideal candidate will bring experience in machine learning techniques, statistical analysis, and healthcare data—particularly in value-based care models. A strong desire to continuously learn and adapt is essential. Effective communication is critical, as this role involves working cross-functionally, engaging with clients, and translating complex technical concepts for both subject matter experts and non-technical stakeholders.
What Success Looks Like
In 3 months
- Gain a solid understanding of Arcadia’s data model, ingestion workflows, and machine learning deployment processes
- Become proficient with the team’s core data tools, including Redshift, Athena, S3, SageMaker, and dbt
- Deliver initial analytics and insights that showcase measurable value to customers
In 6 months
- Establish yourself as a subject matter expert on Arcadia’s analytics platform and methodologies
- Proactively engage with customers to understand their data needs and identify opportunities for model improvements
- Design and develop machine learning models that generate meaningful business value and strengthen client trust in Arcadia
In 12 months
- Be recognized as a go-to resource for machine learning expertise across the company
- Lead cross-functional initiatives to enhance analytics workflows and improve data accessibility and usability
- Drive multiple concurrent projects in collaboration with client stakeholders, consistently delivering expert guidance and impactful results
What You'll Be Doing
- Manage and execute projects across a diverse customer portfolio, ensuring timely and high-quality deliverables
- Design and develop machine learning models for both internal initiatives and client-specific use cases
- Evaluate and monitor model performance, ensuring accuracy, reliability, and alignment with business objectives
- Present findings, methodologies, and insights to clients in a clear and compelling manner
What You'll Bring
- Bachelor’s degree in a relevant field such as Data Science, Statistics, Computer Science, or a related discipline
- 1+ years experience working with healthcare data, including familiarity with claims, clinical, or operational datasets
- 1+ years demonstrated experience in developing and deploying machine learning models in real-world applications
Would Love For You To Have
- Strong analytical and problem-solving mindset, with attention to detail and a passion for data-driven decision-making
- Eagerness to learn and adapt in a fast-paced, evolving environment
- Excellent communication and collaboration skills, with the ability to work cross-functionally and engage with both technical and non-technical stakeholders
- Customer-focused, with a proactive attitude toward identifying opportunities and delivering value
- Proficiency in Python and common data science libraries (e.g., pandas, scikit-learn, NumPy, etc.)
- Experience with SQL and working with large-scale relational databases
- Familiarity with cloud-based data tools such as Redshift, Athena, S3, SageMaker, and Github
- Knowledge of machine learning model evaluation, performance tuning, and deployment best practices
What You'll Get
- The opportunity to analyze large and diverse data set on Arcadia’s custom data platform
- Support a wide variety of customers in the healthcare space
- A collaborative team with decades of collective experience
- Competitive compensation, benefits, and flexible time off
- Be a part of a mission driven company that is transforming the healthcare industry by changing the way patients receive care
- A flexible, remote friendly company with personality and heart
- Employee driven programs and initiatives for personal and professional development
About Arcadia
Arcadia.io helps innovative providers and payers across the country transform healthcare to reduce cost while improving patient health. We do this by aggregating large amounts of disparate data, applying algorithms to identify opportunities to provide better patient care, and making those opportunities actionable by physicians at the point of care in near-real time. We are passionate about helping our customers drive meaningful outcomes. We are growing fast and have emerged as a market leader in the highly competitive population health management software market and have been recognized by industry analysts KLAS, IDC, Forrester, and Chilmark for our leadership. For a better sense of our brand and products, please explore our website.
Protect Yourself
If you have concerns about the authenticity of a job offer or recruitment-related communication claiming to be from Arcadia, we encourage you to verify by contacting us directly at (781) 202-3600 and select option 3. For more information, visit our website.
This position is responsible for following all Security policies and procedures in order to protect all PHI under Arcadia's custodianship as well as Arcadia Intellectual Properties. For any security-specific roles, the responsibilities would be further defined by the hiring manager.
Arcadia Boston, Massachusetts, USA Office
Our new corporate headquarters is located in the Seaport, a short walk from South Station. Easily accessible by public transit (MBTA, commuter rail, South Station Bus Terminal) and a short 30 minute Uber from Logan airport. A close walk to nearby coffee shops, restaurants, bars, and sights.
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
