Staff Data Engineer, Komodo Health
Data Foundations, AI/ML
$179-277k
Salary dependant on location
Curating big data and analytics on healthcare
Be an early applicant
Curating big data and analytics on healthcare
501-1000 employees
Be an early applicant
$179-277k
Salary dependant on location
501-1000 employees
Company mission
To reduce the burden of disease.
Role
Who you are
- Deep expertise in software and data analysis, statistical modeling, hypothesis testing, and experimental design
- Extensive experience building scalable, best-in-class solutions that combine theoretical rigor with implementation efficiency
- Demonstrated record of thought leadership and solution design that spans from high-level conceptual frameworks to detailed execution plans
- Strong ability to communicate clearly and openly with both technical and non-technical teams
- Expertise in the design and architecture of ML/AI systems and workflows
- Experience working with large-scale Machine Learning platforms, designing and building algorithms
- Ability to use a variety of relational, NoSQL, Postgres, and/or MPP databases (ideally Snowflake on AWS) and leading data modeling, schema design, and data storage best practices
What the job involves
- As a Staff Data Engineer on the Data Foundations team, you will help drive the development of Komodo Health’s state-of-the-art data products, and un-locking the potential of our Healthcare Data Map
- Your work will be instrumental in designing and implementing algorithms, building robust data pipelines, and fostering a culture of trust, transparency, and technical expertise
- Looking back on your first 12 months at Komodo Health, you will have accomplished…
- Managed, coordinated, and delivered on key projects that advance our ability to bring new Technical and Data Services to market
- Developed a deep understanding of healthcare-specific challenges and introduced innovative algorithms and software techniques that address these
- Partnered with Data Product and Engineering teams to develop technical requirements, project roadmaps, and deliver scalable solutions
- Actively collaborated with team members to mentor and up-level
- Partnering with Engineering team members, Product Managers, Data Scientists, and customer-facing teams to understand complex health data use cases and business logic
- Building foundational pieces of our data platform architecture, pipelines, analytics, and services underlying our platform
- Architecting and developing reliable data pipelines that transform data at scale, orchestrated jobs via Airflow, using SQL and Python in Snowflake
- Contributing to python packages in Github and APIs, using current best practices
Our take
Komodo Health has built a healthcare map, an artificial intelligence and data analytics tool that tracks the healthcare encounters of well over 300 million patients. The service helps providers, pharmaceutical companies, and scientists identify opportunities for intervention and care improvements. It also helps them to analyze how products are performing in the market, identify at-risk patient groups, study the effectiveness of treatments, and detect patterns in drug and patient behavior.
Komodo Health’s comprehensive platform helps customers to better understand health and it is challenging the fragmentation of healthcare that contributes to inconsistent, unsatisfying results for both patients and providers. It has used its considerable amount of funding to focus on accelerating growth through further innovation and development of its enterprise technology platform, application suite and core data assets.
Komodo Health made cuts to its core team at the end 2022 as part of a restructuring following a large equity funding round. This is very likely to be part of a push for profitability as it gears up for an IPO. With its business strategy realigned, it is resuming hiring in all areas to continue to develop its product and grow its market share.
Freddie
Company Specialist at Welcome to the Jungle
Insights
-4% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Dec 2022
$200m
LATE VC
Mar 2021
$220m
SERIES E
Total funding: $514m
Company benefits
- Full medical, dental, and vision benefits
- Mobility across San Francisco and New York City Offices
- Paid Family leave
- Flexible working hours and flexible paid time off policy
- Personal wellness stipend
- 401(k) employer match
- Work from home opportunities
- Health insurance
Company HQ
Yerba Buena, San Francisco, CA
Leadership
Arif Nathoo
(CEO)Studied Medicine at Harvard. Former Associate Principal at McKinsey & Co for 7 years. Became a Senior Advisor for 2 years.
Web Sun
(President)Previously worked in Sales and Marketing at Merck&Co. VP of Business Development at Campbell Alliance.
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