Senior Data Scientist

Senior Data Scientist

This job is no longer open

Omada Health is on a mission to inspire and engage people in lifelong health, one step at a time.  

Job Overview:

We’re all familiar with the problem. The convoluted incentives of the US healthcare system have yielded ballooning costs in exchange for low life expectancies relative to other wealthy countries. Omada has spent the last eleven years pioneering a value-based healthcare system for chronic conditions to correct this trend by tying revenue to proximal gauges of clinical outcomes. With our incentives in order, we leverage data to empower our care team of health coaches and clinical specialists to coordinate the most effective behavior change strategy for each member of our digital programs.

The Omada Insights Lab exists at the heart of this endeavor by focusing on two key areas of research:

  • Measuring Healthy Behaviors: Developing and validating innovative measurements of health outcomes to orient internal decisions and to refocus the collective conversation of the digital health industry around metrics that matter.
  • Coordinating Personalized Care: Sifting through a rich dataset of natural language, readings from connected devices like blood glucose monitors, demographics, and so forth to tailor effective interventions that fit members’ unique circumstances.

As a Senior Data Scientist, you will collaborate with colleagues from a diversity of quantitative, product, operational, and clinical backgrounds to conduct research related to the focus areas of the Insights Lab. For example:

  • Causal Inference: Detect the incremental value produced by the volume and character of the time our care team spends with members
  • Natural language processing: Quantify abstract concepts such as rapport and emotional convergence in the dialogue between a member and their coach
  • Recommendation: Optimize Omada’s impact on the collective health of the population by matching each member to their ideal coach

Your work will change the lives of our members, enrich the jobs of Omada's care team, and, if we play our cards right, make the US healthcare system just a little bit better.

About You:

  • Deep expertise in statistical methods such as experimental design, regression, causal inference with observational data, time series modeling, and multilevel modeling
  • Ability to synthesize and incorporate scientific and academic research into analytical approach
  • Confidence in Python, R, or another analytical scripting language
  • Some experience with SQL is a plus
  • Degree in a quantitative field such as statistics, economics, applied math, operations research, engineering, or relevant work experience
  • 5 years of applicable industry experience in a quantitative field, especially in health economics or digital health
  • A strong desire for impact and a bias for action despite ambiguity. We believe in learning by doing!
  • You enjoy storytelling and relish teaching and learning from your peers
  • You can collaborate on Pacific Time

Benefits:

  • Competitive salary with generous annual cash bonus
  • Stock options
  • Remote first work from home culture
  • Flexible vacation to help you rest, recharge, and connect with loved ones
  • Generous parental leave
  • Health, dental, and vision insurance (and above market employer contributions)
  • 401k retirement savings plan
  • Work from Home stipend
  • Monthly mental wellness days
  • Two giftable Omada enrollments per calendar year
  • ...and more!

It takes a village to change health care. As we build together toward our mission, we strive to embody the following values in our day-to-day work. We hope these hold meaning for you as well as you consider Omada!

  • Start with Trust. We listen closely and we operate with kindness. We provide respectful and candid feedback to each other.
  • Seek Context. We ask to understand and we build connections. We do our research up front to move faster down the road.
  • Act Boldly. We innovate daily to solve problems, improve processes, and find new opportunities for our members and customers.
  • Deliver Results. We reward impact above output. We set a high bar, we’re not afraid to fail, and we take pride in our work.
  • Succeed Together. We prioritize Omada’s progress above team or individual. We have fun as we get stuff done, and we celebrate together. 
  • Remember Why We’re Here. We push through the challenges of changing health care because we know the destination is worth it.

About Omada Health: Omada Health delivers integrated, virtual care across chronic conditions, a top clinical need for employers and health plans. By combining clinical best practices with the science of behavior change, Omada Health improves member health and reduces the cost of care. Working with over 1,700+ customers — including health plans, health systems, and employers ranging in size from small businesses to Fortune 500s across a wide variety of industries — Omada delivers personalized interventions for diabetes, diabetes prevention, hypertension, and musculoskeletal issues. All programs include integrated behavioral health support. Omada Health’s virtual care programs are clinically supported and evidence-based, with results published in multiple peer-reviewed journals. To learn more, visit www.omadahealth.com.

We carefully hire the best talent we can find, which means actively seeking diversity of beliefs, backgrounds, education, and ways of thinking. We strive to build an inclusive culture where differences are celebrated and leveraged to inform better design and business decisions. Omada is proud to be an equal opportunity workplace and affirmative action employer. We are committed to equal opportunity regardless of race, color, religion, sex, gender identity, national origin, ancestry, citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, domestic partner status, sexual orientation, or any other basis protected by local, state, or federal laws.

This job is no longer open
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