Senior Data Scientist, Particle Health
Healthcare data sharing API platform
Be an early applicant
Healthcare data sharing API platform
21-100 employees
Be an early applicant
21-100 employees
Company mission
To enable simple and secure access to actionable healthcare data for digital health innovators.
Role
Who you are
- 8+ years of experience developing and deploying complex ML & statistical models, delivering impactful, data-driven solutions in production environments
- In-depth knowledge of healthcare data and formats (e.g. CCDA, FHIR, ADTs, Tuva Schema, OMOP), with a proven ability to address real-world healthcare challenges
- Experience working with Value Based Care organizations, understanding their data and operational needs
- Master's degree in a technical field or equivalent practical experience. Advanced healthcare-related credentials (e.g., MD, Pharm.D. PhD, RN, LPN) are a plus but not required!
- Business Intelligence Tools & Data Visualization Experience
- Experience with both supervised and unsupervised ML modeling techniques, with a nuanced understanding of their strengths, limitations and applications in a healthcare context
- Healthcare Data Expertise: Extensive experience working with healthcare data (especially EHR and / or Claims data, ADTs), including clinical applications and / or risk stratification
- Problem Solver: Proven ability to translate business goals and domain understanding into analytics strategies, utilizing both supervised and unsupervised analytics techniques effectively
- Critical Thinker: A natural curiosity and passion for problem solving– the best candidate will be someone who has an innate curiosity and ability to break down complex data sets and extract meaningful insights to drive outcomes
- Innovative Approach: Creativity in addressing data limitations–framing the right questions as we seek to find the answers
- Technical Proficiency: Strong technical experience SQL is a core part of daily workflows, and strong expertise here is critical. We also use & Python and Spark
- End-to-End Delivery: Commitment to seeing projects through from ideation to implementation, with enthusiasm for productionalizing solutions and delivering direct impact to end users
- Clear Communicator: Ability to translate complex technical concepts into accessible language for nontechnical-stakeholders, fostering collaboration and achieving shared understanding
What the job involves
- As a key member of the Particle Health Data Science team, you will be a key player in shaping and executing foundational components of our analytics strategy, helping to define key models for some of the most interesting and challenging problems in healthcare
- As a recognized expert on experiment design and statistical significance within the company, you will play a crucial role in identifying the limits of inference within our data and work closely with product and engineering to identify new analytical products, helping to ensure that our product roadmap continues to evolve toward products that are not only desirable, but feasible and viable as well
- You will also contribute to our AI & NLP roadmap, which will become increasingly important over time
- Our Data Scientists are “full stack” - their work spans data product development, analytics, data science and machine learning, and data visualization. They are deeply technical, and are able to prepare data they need for their work if needed
- Work with product and engineering leadership to create product features, and analyses to develop our data understanding
- Collaborate with other data scientists, data engineers and clinical experts. Lead projects to create new models, features, and data products and help deploy them to production
- Work on both AI / Machine Learning projects, as well as analytics projects
- Support presales efforts and explore new use cases for our data
- Improve Data Quality - Identify gaps in data and help find ways to fill them. Data Quality is a major differentiator for our platform
- Solve problems both through in-house efforts as well as finding creative ways to partner with other companies or open source initiatives
- Examples of recent DS-led projects: AI Summarization of medical history, new product to help health systems to make strategic decisions, new internal data product to understand our geographic coverage, work to improve our data quality by imputing values to close gaps, predictive analytics project for GLP1 medication
- A “day in the life” of a Senior Data Scientist at Particle will almost certainly involve a lot of curiosity – being willing to talk to stakeholders, investigate the complexities of patient-level data
- You will think critically about how we can isolate key outcomes within our data and build models showcasing approaches toward identifying treatment adherence, gaps in care, risk scoring, and more
- And you will work very closely with the data engineering function to ensure that these are carried through into production
Our take
Having access to our own healthcare information should be a given, the Anti-Information Blocking Rule allows providers to search for their patient’s records using basic personal information (Name/DOB/Address/etc.), but patients don’t have the same kind of access. Particle is shaping the new standard for U.S. patients wishing to access their own healthcare information with a user-friendly API platform.
Just as Plaid enabled the fintech industry, Particle is doing the same for healthcare. The company’s comprehensive API uniquely combines data from 270 million-plus patients’ medical records, unifying healthcare records from thousands of sources. Healthcare providers can manage the data, but the ultimate goal is to expand so patients can exercise their rights under HIPPA and access their own information.
New investments led by Canvas Ventures in 2022 are accelerating the growth of Particle’s analytics products, facilitating the launch of the company’s partner platform, and helping serve its growing customer base by scaling its customer service and engineering teams.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
32% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Jul 2022
$25m
SERIES B
Apr 2020
$12m
SERIES A
Total funding: $39.4m
Company benefits
- Health/Dental/Medical Coverage for you and your family
- 401(k) Matching
- Unlimited PTO and Annual Holidays
- Flexible Work Schedules
- Paid Parental Leave & New Parent Coaching
Company values
- Elevating Diversity, Equity, and Inclusion
- Open, Transparent, Thoughtful Communication
Company HQ
Midtown Manhattan, New York, NY
Articles
Leadership
Troy Bannister
(CEO)Founder of ShipShape Boat Detail, LLC. Previous Co-Lead at IEEE and worked as an Entrepreneur in Residence at both P5 Health Ventures and at Prota Ventures. Worked in Business Development, Partnerships, Data Analysis & Content Writing for StartUp Health and was a Market Intelligence Analyst at Health 2.0.
Dan Horbatt
(CTO)Previously worked as a Senior Software Engineer at Google. Worked in Analytics at KCG Holdings, Inc, was a Forward Deployed Engineer at Palantir Technologies, and was a Developer at Skype.
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