Sr. Data Engineer

Posted 24 Days Ago
Be an Early Applicant
Remote
5-7 Years Experience
Artificial Intelligence • Big Data • Healthtech • Database • Business Intelligence
We are creating a healthier future by connecting the world with the right doctors.
The Role
Senior Software Engineer on the Insights team at H1, responsible for developing and maintaining software systems to analyze and interpret medical data for healthcare improvements. Collaborate with stakeholders to provide optimal solutions that align with product goals and user needs. Develop algorithms and systems to process and analyze large sets of medical data.
Summary Generated by Built In

At H1, we believe access to the best healthcare information is a basic human right. Our mission is to provide a platform that can optimally inform every doctor interaction globally. This promotes health equity and builds needed trust in healthcare systems. To accomplish this our teams harness the power of data and AI-technology to unlock groundbreaking medical insights and convert those insights into action that result in optimal patient outcomes and accelerates an equitable and inclusive drug development lifecycle. Visit h1.co to learn more about us.


As a Senior Software Engineer on the Product team, you will be instrumental in developing and maintaining software systems designed to analyze and interpret medical data to drive healthcare improvements. Your work will directly support our product offerings by enabling more effective data-driven decisions. In this vital role, you will collaborate closely with key stakeholders to deliver well-designed and intuitive user-friendly solutions.



WHAT YOU'LL DO AT H1

You will collaborate with a multidisciplinary team including, data engineers, product managers, and business stakeholders, to gather materials and understand user needs. Your contributions will be crucial in providing optimal solutions that align with both our product goals and specific user needs, all while ensuring timely delivery. 


You will:

- Partner with stakeholders to provide the best solutions that meet both user needs and business goals

- Connect and import data from various sources and ensure data cleanliness and accuracy throughout preprocessing and quality checks

- Develop algorithms and systems to process and analyze large sets of medical data, such as patient records, clinical trials, and health outcomes. This involves extracting meaningful insights that can influence patient care, medical practices, and health policies

- Work on integrating applications with existing healthcare IT systems, ensuring seamless data flow and interoperability. This can involve working with electronic health records (EHRs), diagnostic tools, and other healthcare management systems.

- Stay updated with the latest developments in both technology and healthcare sectors to implement cutting-edge solutions that can improve data analysis, such as machine learning models or predictive analytics.



ABOUT YOU

As a self-starter, you excel in managing projects across all stages, from requirement gathering and design to coding, testing, implementation, and ongoing support. Your proactive approach and diverse skill set make you an invaluable asset in driving innovation and delivering impactful solutions within our dynamic Product Engineering team.


- You have experience performing root cause analysis on internal and external data and processes to answer specific business questions and find opportunities for improvement

- You have a proven ability to write clean code that is easy to maintain

- You are a teammate. Being part of a team is a requirement for you. You appreciate working together, solving problems, and iterating to become something better. You accept feedback professionally. You understand that delivering the best solution to the customer requires teamwork.

- You are a lifelong learner, always seeking to expand your knowledge and questioning existing solutions to drive innovation

- You are a student. You understand that as an engineer, you never stop learning. You ask questions about current solutions. You enjoy learning new things and exploring ideas. You will adopt new technologies tempered by due diligence.



REQUIREMENTS

- 6+ years of experience working with big data technologies and deploying products on AWS EMR

- Strong coding skills in Python preferably, supporting large scale data processing 

- Experienced with distributed platforms like Apache Spark

- Familiarity with data engineering pipeline tools such as Docker, Kubernetes or Terraform

- Experience working with Natural Language Processing (NLP) or similar technologies, such as text analytics, or machine learning models for language tasks required

- Experience with databases like PostgreSQL

- Software management tools such as Git, JIRA, and CircleCI

- Familiarity with ElasticSearch, ETL API design, or customer facing data delivery a plus



H1 OFFERS

- Full suite of health insurance options, in addition to generous paid time off

- Pre-planned company-wide wellness holidays

- Retirement options

- Health & charitable donation stipends

- Impactful Business Resource Groups

- Flexible work hours & the opportunity to work from anywhere

- The opportunity to work with leading biotech and life sciences companies in an innovative industry with a mission to improve healthcare around the globe


Top Skills

Python
SQL
The Company
HQ: New York , NY
500 Employees
Remote Workplace
Year Founded: 2017

What We Do

Access to medicine and healthcare is a basic human right. At H1, we believe access to the best healthcare information is also a basic human right, one that will be more important in the 21st century than ever before.

Our commitment to creating a healthier future for everyone drives us to build and maintain the most current, accurate, and comprehensive healthcare knowledge base available, as well as the tools and intelligence to extract unparalleled insights to carry global healthcare forward.

Why Work With Us

We’re a team of people building products that help solve difficult problems in healthcare. We work through complex challenges every day, navigating ambiguity, wrestling with uncertainty, and pushing the boundaries of what’s possible–all while caring deeply about one another and the people we seek to help.

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