Senior Analytics Engineer, Atropos Health
$120-155k
More information about location
Real-world evidence for clinical decision making
Be an early applicant
Real-world evidence for clinical decision making
21-100 employees
Be an early applicant
$120-155k
More information about location
21-100 employees
Company mission
To solve the Evidence Gap that has hampered effective clinical decision-making.
Role
Who you are
- 5+ years of experience in data infrastructure, data analysis, data visualization, and dash boarding tools
- Expertise in correct data modeling principles for analytics (dimensional, bonus points for data vault knowledge), integrating raw data from disparate sources, ETL, python, and building/maintaining data pipelines
- Strong SQL skills
- Experience building data warehouses and optimizing how data is modeled for downstream consumers
- Familiarity with general cloud architecture
- Quality mindset. Must approach data preparation development with data validation, ensuring accuracy and reliability in all data products
- Must be curious, humble, a team player, operate with a bias to action, and have the ability to make decisions when confronted with uncertainty
- Have worked in a fast-paced high-growth startup environment before and is comfortable switching work streams as needed
What the job involves
- As a Senior Analytics Engineer, you will be crucial in optimizing our data infrastructure to empower teams across product development, engineering, data science, clinical operations, and finance
- Your expertise will drive informed decision-making, contributing to our mission to accelerate the generation of actionable evidence to improve healthcare outcomes for everyone
- Design and develop robust and efficient analytics data products, such as data models, schemas, ETL jobs, data sets, BI visualizations, etc.,
- Collaborate in partnership with engineering, product, and other business teams to assess data and analytics needs
- As part of development, ensure high level of data quality within data products through data validation and disciplined design practices
- Contribute to a reliable and usable platform to deliver insights through raw data delivery, SQL access, API endpoints, and BI tooling
- Provide refined data to business users to enable KPI tracking and foster a culture of data-driven decision-making
- Prioritize inbound requests from multiple teams and establish the business context for efficient problem-solving
- Contribute to data asset documentation, data modeling, data validation and profiling, and tooling decisions
- The Senior Analytics Engineer reports directly to the Principal Analytics Engineer, Nick Johnson
Our take
Spun out from a project developed at Stanford University, Atropos Health was founded to improve the use of generative AI in medical and research decision-making. The company’s software offers on-demand evidence and real-world data to improve evidence collation, elevating clinical trial outcomes.
The use of generative AI for medical purposes is in an exciting place at the moment, and Atropos Health is at the forefront of its evolution. The company’s Geneva Operating System is an original AI system and natural language processor that makes publication-quality clinical data accessible to those without technical skills, and at low cost.
Impressively, the company claims to provide query results in minutes rather than the traditional timeline of 2 to 6 months, hugely speeding up the research process. The power of its operating system is backed by the company’s substantial funding rounds, which will be used to expand operations and grow its portfolio of gen-AI products.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (2 rounds)
May 2024
$33m
SERIES B
Aug 2022
$14m
SERIES A
Total funding: $47m
Company benefits
- Health & Wellness - Our benefit package includes employer paid Medical, Dental, Vision, Life, STD, and LTD insurance
- Parental Leave - We offer up to twelve weeks of paid leave for new parents who have been at the company for 6+ months
- Financial Wellness - Save for retirement through our 401k plan with Human Interest
- Flexible Work Environment - We're a remote first company with a flexible vacation policy
- Offsites - As a remote company we take time 2-3 times a year to get together in small teams and all together as a company
Company HQ
Palo Alto, CA
Leadership
Brigham Hyde
(Co-Founder & CEO)Currently a Venture Partner at Audere Capital. Previously a Special Advisor at EVERSANA, was an Official Member of Forbes Technology Council, and worked as a Research Affiliate at MIT.
Nigam Shah
(Co-Founder)Currently Chief Data Scientist at Stanford Health Care, as well as Head of Medicine at Stanford University School of Medicine. Previously interned in Research at IBM.
Saurabh Gombar
(Co-Founder &Chief Medical Officer)Currently Clinical Instructor at Stanford Health Care. Previously studied a PhD at Albert Einstein College of Medicine, founded Alpha Abacus and was a Software Engineer at Ericsson.
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