36 day(s) ago

Data Analytics Engineer

Negotiable salary


Remote worker location: Worldwide
English: Advanced, Upper Intermediate, Native Speaker
Experience: 3+ years
Employment: Full-time

Reify Health

Boston
Reify Health provides cloud-based software that accelerates the development of new and life-saving therapies.
At Reify Health, we are building a more creative healthcare system. We envision a world where every potential therapy, if safe and effective, is available to the patients who can benefit.

Our healthcare system relies on clinical trials to develop new, potentially life-saving treatments for patients. But clinical trials continue to be slow, unpredictable, and expensive. Reify Health’s product helps both the research leaders driving forward clinical trials and the doctors and nurses who care for the patient participants.

As we continue scaling the adoption of our product, we accelerate world-class clinical research and unlock innovation. By joining our team, you will play a significant role in our growing engineering team, further establishing our foundation for a culture of impact and empathy.

General overview of the role

At Reify Health, we are building a more creative healthcare system. We envision a world where every potential therapy, if safe and effective, is available to the patients who can benefit.
Our healthcare system relies on clinical trials to develop new, potentially life-saving treatments for patients. But clinical trials continue to be slow, unpredictable, and expensive. Reify Health’s product helps both the research leaders driving forward clinical trials and the doctors and nurses who care for the patient participants.

As we scale adoption of our product domestically and internationally, we will accelerate world-class clinical research and unlock innovation. By joining our data team, you will play a foundational role in supporting this mission by building and expanding powerful internal reporting and analytics tools that allow all Reify teams to benefit from rich data-driven decision making.

Responsibilities

Work closely with customer, product, design, marketing, and engineering teams to design, develop, iterate, and expand data analytics tools, models, libraries, or features.
Develop and support new/existing ETL pipelines and integrations with internal/external data sources.
Support a data-driven culture by expanding internal intelligence reporting and dashboard systems
Become an expert on our data models and advise technical teams on data model expansion.
Perform statistical analyses and prototype the next generation of intelligent features for StudyTeam users
Become intimately familiar with HIPAA, GDPR, and other applicable regulatory frameworks and how they influence our architecture and development decisions.
Frequently communicate your efforts to Head of Data and other technical/non-technical stakeholders in clear written, verbal, or presentation form.
Live our data philosophy, which focuses on ethical decision making, being aware of how biased data (and assumptions) can affect results (and people), and being laser-focused on business needs.

Requirements

At least 3 years of professional work experience in a role dealing with regulated data (such as healthcare).
Deep, performance-conscious comfort with various database, warehouse, and streaming platforms such as PostgreSQL, Redshift, and Kafka.
Expertise in Python and ideally high comfort (or ability to become comfortable) with Clojure and R.
Existing experience managing a self-hosted analytics reporting or dashboard system.
Familiarity with AWS ecosystem (Athena, Glue, Redshift, S3, Lambda) and some comfort with CloudFormation or Terraform.
Understanding of the nuances of testing and addressing scalability/accuracy of analytical processes in distributed/probabilistic systems.
Experience with applied statistics, supervised/unsupervised learning techniques in a healthcare/clinical setting
Experience with developing or integrating clinical or other medical taxonomies and ontologies.
Experience in a startup environment as a remote employee
Advanced degree in computer science, biostatistics, or other related field.
Relevant published or publicized professional or academic work such as open-source contributions, blog posts, or publications.

Benefits

Competitive Salary and Stock Options: Salary and stock options commensurate to your experience and expertise.
Comprehensive Health and Wellness Coverage: 100% premium coverage for you (and >50% for your dependents) for: a top-tier health plan covering you in all 50 states (with option of HSA) dental, vision, disability (short-term and long-term), and basic term life insurance (for your entire tenure at Reify). We enable 24/7 access to doctor by phone or online via telemedicine coverage.
Retirement Plan:401(k) plan with employer matching program.
Company-provided Workstation: You will receive a brand new Macbook Pro laptop to use for work.
Location Flexibility & Transportation: You can work from anywhere in the U.S. compatible with an EST work schedule. Additionally, we fly remoters in for company summits and team events, filled with fun activities, good food, and many opportunities to get to know your colleagues better.
Vacation and Holiday Flexibility: Generous paid-time-off policy that accrues with your tenure at Reify which includes holiday flexibility and parental leave.
We value diversity and believe the unique contributions each of us brings drives our success. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Other information

While we can only hire full-time employees based in the United States with permanent residency or citizenship, we are able to engage full-time, international contractors on a case-by-case basis.

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