Senior Data Scientist, Health Care - San Francisco, United States - Homeward

    Homeward
    Homeward San Francisco, United States

    Found in: Lensa US 4 C2 - 1 week ago

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    Description
    Homeward is a technology-enabled healthcare provider delivering quality, affordable and comprehensive care to those who don't have it. Starting in rural America. Today, 60 million Americans living in rural communities are facing a crisis of access to care. In the U.S. healthcare system, rural Americans experience significantly poorer clinical outcomes. This trend is rapidly accelerating as rural hospitals close and physician shortages increase, exacerbating health disparities.

    In fact, Americans living in rural communities suffer a mortality rate 23 percent higher than those in urban communities, in part because of the lack of access to quality care.

    Our vision is care that enables everyone to achieve their best health.

    So, we're rearchitecting the way it's delivered leveraging breakthroughs in diagnostics, remote monitoring, and a variety of other domains, Homeward is creating a new healthcare delivery model that is purpose-built for rural America and directly addresses the issues that have historically limited access and quality.

    Most importantly, we're aligning everyone's incentives (ours, partner health plans', and members') towards getting and keeping people healthy by taking full responsibility and financial risk for the total cost of each member's healthcare and outcomes.

    Homeward is co-founded by a leadership team that defined and delivered Livongo's products, and backed most recently by a $50 million series B co-led by Arch Ventures and Human Capital, with participation from General Catalyst for a total of $70 million in funding.

    With this leadership team and funding, Homeward is committed to bringing high-quality healthcare to rural communities in need.

    The OpportunityJoin us in tackling healthcare for rural America We're seeking a Senior Data Scientist, Health Care who is passionate about having a positive societal impact and for using technology for good solving issues of health inequity for communities that have been perennially underserved.

    As an early hire, you'll lead the development of our utilization, cost, and clinical data science functions, spanning from business intelligence to deep-dive analytics to risk stratification prediction and modeling, leveraging your proven track record for success in health care analytics, actuarial, or data science.


    What you'll do:
    Deliver analytic and data science products from business intelligence to analytics to predictive modeling within the health care data domain (e.g., clinical outcomes, clinical quality, cost of care)


    Develop risk stratification models using EHR, claims, RA, actuarial experience, and a variety of other data sources to match our members with the appropriate care pathwaysConduct opportunity assessments for reducing total cost of care or improving code capture as we work in new geographies and with new clients and partnersEvaluate the effectiveness of service delivery for different population segments relative to clinical and cost outcomesCollaborate with the Technology team to purpose-build a healthcare data infrastructure that supports high-impact analyticsWhat you bring:5+ years of hands-on health care analytics, actuarial, or data science experienceStrong technical skills necessary to perform advanced analytics: coding (e.g., R, Python, Scala), experience with data management and visualization tools (e.g.

    , SQL, Tableau, Looker, Metabase, open source platforms), and experience performing machine-learned analysis with large datasetsDeep experience with clinical and/or claims data, especially Medicare dataA collaborative approach to working with stakeholders to help define the question, shape the analysis plan, and deliver and interpret results or modelsAbility to dive deep into details and zoom out to see the big picturePrevious experience developing risk stratification models with a variety of healthcare data sources

    Bonus Points:

    Experience with value-based care analytics and data scienceExperience working on a small, fast-paced teamStrong foundation in probability & statistics, demonstrated expertise with ML tools, SQL, Python, and statistical & ML packagesExperience empowering Teammates' work via mentorship, coaching, synchronous & asynchronous code review, and leading by empathy and exampleWhat shapes our company:Deep commitment to one another, the people and communities we serve, and to care that enables everyone to achieve their best healthCompassion and empathyCuriosity, and an eagerness to listenDrive to deliver high-quality experiences, clinical care, and cost-effectivenessStrong focus on sustainability of our business and scalability of our services, to maximize our reach and impactNurturing a diverse workforce, with a wide range of backgrounds, experiences, and points of viewTaking our mission and business seriously, but not taking ourselves too seriously having fun as we buildBenefits:Competitive salary, equity grant, generous paid time offComprehensive benefits package including medical, dental & vision insurance with 100% of monthly premium covered for employeesCompany-sponsored 401k planFlexible working arrangementAt Homeward, a diverse set of backgrounds and experiences enrich our teams and allow us to achieve above and beyond our goals.

    If you have yet to gain experience in the areas detailed above, we hope you will share your unique background with us in your application and how it can be additive to our teams.

    Homeward is an equal-opportunity employer.

    All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information.

    Homeward is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities.

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