Data Engineer

| Remote
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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.

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An Insider's view of M13

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At least twice a year, M13 gets the team together for a week full of internal events and team building that we call "Dock-in". We have events such as trivia, scavenger hunts, ropes course, and team dinners, but the goal is ALWAYS to have fun and build connections outside of work.

Arbo

Mission Control

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What is your vision for the company?

When Carter and I were starting M13, we knew the world didn’t need just another venture capital firm. Starting a platform, with an approach that’s designed to evolve venture capital? That’s really exciting. The opportunity to have a different value prop for our companies and for the people joining our platform energizes me every day.

Courtney Reum

Co-Founder

What are M13 Perks + Benefits

M13 Benefits Overview

Opportunity to Learn: Work directly for and with an M13 Founding Partner and serial entrepreneur in a high impact role
Comprehensive Health Package - Medical, dental, and vision plans that are thoughtful and supportive of the needs of each M13 employee
Open PTO Policy - We're focused on healthy work/life balance and therefore set no firm guidelines as to how much time off each employee is permitted to take
Investment in Your Future - Employee Profit Sharing Program and 401(k) Retirement Plan with matching for all employees. Many more excellent perks available within our comprehensive benefits program

Culture
Volunteer in local community
Open door policy
OKR operational model
Team based strategic planning
Flexible work schedule
Remote work program
Diversity
Highly diverse management team
Mandated unconscious bias training
Hiring practices that promote diversity
Health Insurance + Wellness
Dental insurance
Vision insurance
Health insurance
Wellness programs
Financial & Retirement
401(K)
401(K) matching
Performance bonus
Child Care & Parental Leave
Generous parental leave
Family medical leave
Vacation + Time Off
Unlimited vacation policy
Paid holidays
Office Perks
Commuter benefits
Company-sponsored outings
Free daily meals
Free snacks and drinks
Company-sponsored happy hours
Onsite office parking
Pet friendly
Fitness stipend
Home-office stipend for remote employees
Professional Development
Job training & conferences
Promote from within
Customized development tracks
Paid industry certifications

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