Atropos Health

Data Engineer

• Create and maintain data pipelines to integrate, enrich, and map clinical data, claims, and other data from multiple sources
• Conduct data quality checks and assessments on clinical datasets
• Automate workflows in multiple public cloud environments
• Use tooling such as Databricks, Bigquery, Redshift, and dbt alongside command line tools
• Map data from one source into a common data model using SQL (required) and Python
• Work remotely with an interdisciplinary team and maintain relationships with research, clinical, and commercial stakeholders

DevOps Engineer

• Automate & Optimize:
• Build and fine-tune CI/CD pipelines to make deployments as easy as possible.
• Optimize our cloud infrastructure to ensure cost efficiency, security, and agility.
• Monitor & Support:
• Keep our systems humming by using HA architectures to keep them up despite the best efforts of entropy.
• Troubleshoot issues using various tools and techniques
• Collaborate and communicate:
• Work hand-in-hand with engineers and others within the company to understand their needs and promote best practices.
• Communicate proactively, effectively, openly, and empathetically with internal and external teams. Don’t bury people in technical jargon.
• Infrastructure Management:
• Manage cloud computing infrastructure using Infrastructure as Code (IaC) to ensure consistent, secure, scalable deployment of resources.
• Continuous Improvement:
• Keep an ear to the ground for industry trends and bring fresh ideas to the team.
• Always think about how we can always improve our infrastructure, information security, and associated processes.

Senior DevOps Engineer

Customer Success Manager

• Manage a portfolio of clients and partners to ensure smooth delivery operations and maximize client satisfaction in partnership with the Clinical Insights and Analytics team.
• Monitor usage metrics and key performance indicators to ensure customer satisfaction.
• Conduct periodic status meetings and business reviews with clients to ensure customer satisfaction.
• Monitor and report key performance indicators and satisfaction metrics to internal leadership.
• Act as a Health System and Life Science subject matter expert, both internally and externally.
• Partner closely with the Health System and Life Science Sales teams to generate meeting content and value stories, aligning Atropos Health’s capabilities with customer needs.
• Partner closely with Atropos’ Product team to provide client feedback and suggestions for new features and enhancements.
• Become proficient in Atropos Health’s proprietary Temporal Query Language (TQL) to query data, understand patient counts, and run simple studies.

Lead Client Success Manager – Health Systems, Life Sciences

Data Scientist

• Work with Product, Clinical, and Engineering teams to understand product and clinical requirements and deliver solutions that balance technical rigor with practical application
• Develop, test, productionalize, and maintain data science products with software engineering best practices, including code management and documentation
• Articulate and deconstruct complex projects into workable solutions and identify appropriate data and methods
• Practice good judgment and solicit information to make good and timely design decisions
• Respond to user questions and support users in the best uses of data science products
• Solicit user feedback and propose opportunities for product innovation (e.g. to add new functionalities, improve model performance, automate processes)
• Stay abreast of research and conduct literature and empirical research to propose appropriate solutions while sidestepping less promising ones
• Excellent writing skills – you may be asked to contribute to our technical blogs

Senior Data Scientist

Product Operations

• Be the backbone of product development lifecycle, ensuring alignment and efficiency across idea generation, software development, product testing, launches, and iteration.
• Establish company-wide processes and systems that bridge Engineering, Product, Marketing, and Go-to-Market teams to drive alignment and maximize impact.
• Develop and maintain scalable frameworks for shipping high quality products that enhance cross-functional collaboration, transparency, and efficiency.
• Coordinate launches: work with product and marketing teams to develop a calendar for timely and impactful product rollouts.
• Own team coordination: set agendas for team meetings and planning on-sites.
• Facilitate roadmap planning by coordinating inputs from key stakeholders, ensuring transparency and alignment.
• Partner with product managers on internal and external user testing programs to inform product refinement and readiness.
• Own delivery plans for high priority projects that need additional support to hit aggressive timelines.
• Produce metrics definitions, operational reports and identify risks backed by data-driven insights (sprint metrics, product deliverables, reworks, and on time delivery).
• Work with finance and development to create the capitalization, velocity and performance of the products/development teams.
• Reports directly to the President, Neil Sanghavi.

Data Engineer

Senior DevOps Engineer

Lead Client Success Manager – Health Systems, Life Sciences

Senior Data Scientist

Lead Product Operations Manager