Job Description
We came together to empower physicians and care teams to deliver great care. We are a passionate group of professionals dedicated to making healthcare better. We are a purpose-driven team bringing our vision of better care to life.
Clarify is looking for a Senior Data Scientist to focus on engineering innovation and algorithm development.
*Please note, while this job is listed as remote, we can only employ in the following states: CA, CO, DC, MN, NJ, OR, TX, MA, NV, ID, NY, ND, SC, NH, MT, HI, WI, FL, AZ, UT, IL, TN, WA, GA, MI, MO and CT. If your state is not listed, we cannot move forward with your application.*
The Role
- Designing rigorous experiments and communicating results with the objective of identifying actionable conclusions
- Developing and deploying statistical and machine learning models on a growing database of longitudinal health information
- Introducing new technologies and solutions to our data engineering processes that will facilitate machine learning at a higher scale
- Collaborating with our product management, engineering, clinical transformation, and sales teams to provide a data-driven perspective on business problems
- Participating in data team workshops by translating business problems and sometimes complex statistical approaches into actions, balancing creativity with engineering practicality
- Communicating ideas and findings in compelling ways to peers and leadership
- Work independently on projects that are large in scope and impact
What we are looking for
We are always looking for new team members who will be a solid fit with our culture and have a strong passion for impact. In particular, the Senior Data Scientist will have:
- Demonstrable experience in applying machine learning and authoring production-level code in an industry setting, preferably with applications in the healthcare field (such as bioinformatics, biostatistics, epidemiology, economics, genomics, or public health)
- Self-sufficiency to query relational databases, research new features, and build resources necessary where they do not already exist
- Resourcefulness in a variety of machine learning packages in R or Python, with a keen knowledge of optimal selections with respect to predictive performance, computation time, and model interpretability
- Familiarity with generalized linear models and healthcare-related statistical methods such as hierarchical/mixed-effects modeling, regularization, survival analysis, and propensity score matching
- Practicality and systematic problem-solving skills necessary to find elegant solutions to complex problems
- Experience as a project/product team leader
- An ownership mindset and desire to be the technical expert in the room
- 7+ years direct data science experience, or a PhD in a technical discipline and 5+ years direct data science experience
Preferred Technologies
- PostgreSQL, PrestoSQL
- R, Python, and/or Julia
- Spark
- Bash/Unix
- Deep learning frameworks
What we offer you
- Competitive salary ($160-195k commensurate with experience)
- Quality health insurance
- Traditional 401K plan
- Vision, dental, disability and life insurance
- Flexible Spending Accounts and Commuter Benefits
- Unlimited PTO
- Flexibility
- Monthly wellness stipend
- Remote friendly
- A collaborative workplace, which will challenge you and celebrate your work
- A chance to learn with and from interesting and enthusiastic colleagues
Company Info.
Clarify Health
We are on a mission to change healthcare by deliberately bringing together healthcare experience, Silicon Valley big data software engineering, and cutting-edge data science. Clarify Health's enterprise analytics platform empowers providers, payers, and life sciences companies to deliver better care to patients through actionable insights. With industry-leading statistical modeling and machine learning, Clarify Health harnesses the power of the m