Gradient

Senior Data Engineer, Health & Bioinformatics

Remote

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Health Insurance, Bioinformatics, HealthcareIndustries

Position Overview

  • Location Type: Remote
  • Job Type: Full-time
  • Salary: Not specified

Gradient AI is revolutionizing Group Health and P&C insurance with AI-powered solutions that help insurers predict risk more accurately, improve profitability, and automate underwriting and claims. Our SaaS platform taps into one of the industry’s largest data lakes—tens of millions of policies and claims—to deliver deep, actionable insights. Trusted by leading carriers, MGAs, TPAs, and self-insured employers, Gradient AI has grown rapidly since our founding in 2018. Backed by $56M in Series C funding, we're scaling fast—and it's an exciting time to join the team.

We are seeking a Senior Data Engineer with a deep understanding of healthcare data, including claims, clinical, patient-reported outcomes data, or bioinformatics, to design, build, and manage data pipelines for our health insurance clients. The ideal candidate is a lifelong learner with a proven ability to interpret complex health-related datasets. This role requires an expert in using Airflow to orchestrate ETL pipelines, ensuring the efficient, reliable movement of healthcare data across systems. A subject matter expert (SME) in health and bioinformatics data is essential for success in this role.

Responsibilities

  • Design, build, and implement data systems to support ML and AI models for our health insurance clients, ensuring strict compliance with healthcare data privacy and security regulations (e.g., HIPAA).
  • Develop tools for extracting, processing, and profiling diverse healthcare data sources, including EHRs, medical claims, pharmacy data, and genomic data.
  • Collaborate with data scientists to transform large volumes of health-related and bioinformatics data into modeling-ready formats, prioritizing data quality, integrity, and reliability in healthcare applications.
  • Build and maintain infrastructure for the extraction, transformation, and loading (ETL) of data from a variety of sources using SQL, AWS, and healthcare-specific big data technologies and analytics platforms.
  • Apply health and bioinformatics subject matter expertise to ensure data pipelines meet the unique requirements of health, medical, and bioinformatics data processing - including translating complex medical and biological concepts into actionable data requirements.

Requirements

  • BS in Computer Science, Bioinformatics, or another quantitative discipline with 7+ years working with and interpreting health, medical, and bioinformatics data, including real-world healthcare datasets.
  • Subject matter expertise (SME) in health and bioinformatics data, with a strong grasp of the complexities and challenges of processing medical and biological information.
  • Knowledge of healthcare data standards (e.g., FHIR, HL7) and a solid understanding of healthcare data privacy and security regulations (such as HIPAA) are highly desirable.
  • Proficiency in Python and SQL within a professional environment.
  • Hands-on knowledge of big data tools like Apache Spark (PySpark), DataBricks, Snowflake, or similar platforms.
  • Skilled in using data orchestration frameworks such as Airflow, Dagster, or Prefect.
  • Comfortable working within cloud computing environments, preferably AWS, along with Linux systems.
  • Ability to work with and visualize health and/or medical data, with Insurtech industry exposure, is considered a plus.

What We Offer

  • A fun, team-oriented startup culture.
  • Generous stock options - we all get to own a piece of what we’re building.
  • Unlimited vacation days.
  • Flexible schedule that supports working from home.
  • Full benefits package includes medical, dental, vision, 401k, paid paternal leave, and more.
  • Ample opportunities to learn and take on new responsibilities.

Application Instructions

Not specified.

Skills

Airflow
ETL pipelines
Healthcare data
Claims data
Clinical data
Patient-reported outcomes
Bioinformatics
Data processing
Data profiling
Data privacy (HIPAA)
Data security
EHRs
Genomic data
Data transformation
ML/AI support

Gradient

Energy-efficient window ACs and heat pumps

About Gradient

Gradient Comfort creates energy-efficient window air conditioners that also function as heat pumps, providing both cooling and heating without obstructing views. Their products use R-32 refrigerant, which is more environmentally friendly than traditional options, making them appealing to eco-conscious consumers, especially in regions with strict emissions regulations like New York. Unlike competitors, Gradient Comfort sells directly to consumers through its website, fostering a closer relationship with customers. The company's goal is to lead in clean energy innovation and support decarbonization efforts in home climate control.

San Francisco, CaliforniaHeadquarters
2017Year Founded
$32.1MTotal Funding
SERIES_ACompany Stage
Energy, Consumer GoodsIndustries
51-200Employees

Benefits

Equity
Medical/vision/dental/life/disability insurance
401k
Paid parental leave
Commuter benefits
Unlimited PTO within reason
Relocation package ( out of state applicants only )

Risks

Increased competition from established HVAC companies could challenge Gradient's market share.
Supply chain disruptions in the semiconductor industry may impact heat pump production.
Economic downturns could reduce consumer spending on Gradient's premium products.

Differentiation

Gradient's heat pumps use R-32 refrigerant, reducing environmental impact compared to HFCs.
The company's window-mounted design offers unobstructed views, ideal for urban living.
Gradient partners with NYC Housing Authority, showcasing commitment to community-focused solutions.

Upsides

Gradient received a $17.5 million grant to establish a Michigan manufacturing plant.
The Inflation Reduction Act incentives could boost sales of Gradient's heat pumps.
Growing eco-conscious consumerism supports Gradient's positioning as a green technology leader.

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