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Data Engineer

M13

M13

Software Engineering, Data Science
Remote
Posted on Friday, May 31, 2024
Redefining Healthcare with Carenostics
At Carenostics, we're at the forefront of healthcare AI, forging a path to address chronic diseases with transformative solutions. Our work, starting in Chronic Kidney Disease at Hackensack Meridian Health (HMH), has garnered prestigious accolades like the Bio-IT World Innovative Practices Award, placing us in the league of industry giants. We have since rapidly deployed AI solutions for new health systems and diseases like asthma & heart disease.
Our journey, underscored by a robust 2023, boasts of a recently oversubscribed Seed round, impactful partnerships, notably with AstraZeneca, and numerous accolades such as the Digital Health Hub Award. We're excited about the immense potential as we gear up for an accelerated growth phase.
At the helm is our CEO, a trailblazer whose leadership has seen the successful launch of 20+ healthcare AI solutions, generating a staggering $5B in revenue and transforming the lives of millions globally. This unparalleled success is amplified by a world-class team with pedigrees from McKinsey, Siemens HealthCare, Amazon, and more. As we stand on the brink of rapid expansion, we invite you to be a part of this exhilarating journey, where each step forward is a leap toward reshaping the healthcare narrative.
Carenostics is seeking an experienced (3-5 years) data engineer for a hybrid engineering and analyst role with a passion for transforming healthcare to join our team (currently 10+ employees). The ideal candidate will be able to digest complex databases, have data analytics skill sets, and exhibit an adept ability to analyze healthcare data from EMR and claims data and build out data pipelines to support AI-based solutions. The role requires a candidate adept at data analytics and data engineering and willing to jump in and take on tasks needed to achieve business objectives while taking ownership of their work.

Responsibilities include:

  • Contributing to the ML engineering work for the AI ML projects, including database and data quality management, feature extraction, data ingestion, data pipeline, CI/CD, MLOps, and incorporating novel data sources (claims, SDoH).
  • Developing and deploying the data pipelines, including delivering results to clinicians to enable feature extraction from raw EHR data and setting up infrastructure for interoperability across institutions.
  • Researching and developing analytical approaches for identifying, analyzing, and interpreting trends or patterns in healthcare data.
  • Query, structure, and validate data using SQL.
  • Database management and optimization, improving the efficiency, robustness, and stability of databases and queries.
  • Support the head of Data Engineering in building a strong culture of accountability and ownership in their team, instilling best-in-class engineering practices (e.g., testing, code reviews, DevOps-forward ways of working), and enforcing data quality and documentation standards.
  • Communicate with clinical collaborators on results.

Candidate qualifications:

  • BA / BS in Computer Science or related field
  • 3+ years of experience in data analysis in healthcare data, including EMR and claims data.
  • Excellent critical thinking and problem-solving skills
  • 3+ years of work experience with SQL, data warehouses, data lakes, and relational DBs developing large-scale data & analytics solutions.
  • 3+ years of experience with advanced SQL (including using Windows functions, CTEs, JSON data, and lateral joins).
  • 3+ years of developing data-intensive software using SQL and Python in a production setting (ideally including building and deploying production ML systems on top of SQL databases with Agile methodology).
  • Strong foundation in technical and programming skills (esp. Python)
  • A “can-do” attitude working in a fast-paced startup
  • Additional desirable qualifications include:
  • Experience with developing on cloud platforms (AWS, Azure, GCP)
  • 3+ years of experience building data science workflows, from data engineering/to building scalable data pipelines.
  • Experience working with client-facing technical teams.
  • Familiarity with standard machine learning packages (SciKitLearn, PyTorch, TensorFlow) and experience with statistical modeling

Benefits of this role:

  • Competitive salary, benefits (healthcare, 401k), and stock options at startup poised for hyper-growth
  • A key player in a mission-driven company tackling one of society’s most significant challenges
  • Access to rich healthcare data from leading institutions for developing solutions with immediate real-world impact on tens of millions of patients
  • Direct mentorship from proven leaders in healthcare, databases, machine learning, and software engineering
  • No relocation required
As an early hire, you will have opportunities for rapid upward mobility: Director roles, empowered to scale the data engineering and software development teams, will be needed as Carenostics grows. Additional opportunities include working directly with clinicians on the interface/workflow and engaging with the startup team on conversations beyond data science (e.g., commercialization, growth strategy, leading new client deployments).
Learn more about us, our partnerships, and our journey this past year at www.carenostics.com
Carenostics provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.