HopHR
San Ramon, CA
11-50 employees
HopHR is connecting top Data Scientists, Machine Learning Engineers, and AI talent with the right job opportunities.
Prior Listings
- Data Scientist
- Senior Data Scientist - Drug Utilization Forecasting
- Data Scientist
- DevRel Data Scientist
- Data Scientist Advocate
- Senior ML Engineer/ Sr. Data Scientist
- Healthcare Research Scientist II | US
- Healthcare Research Scientist III | US
- Senior Machine Learning Engineer
- Senior Data Scientist - Care Management
- Data Scientist - NLP
- Natural Language Understanding (NLU) Analyst
Healthcare Research Scientist III | US
Healthcare Research Scientist III | US
This job is no longer open
POSITION SUMMARY:
We are a passionate and distributed team working to build a best-in-class healthcare product designed to make high-quality healthcare easy to access. We are looking for an experienced healthcare analytics professional to assess impact of our offering and identify and quantify improvement opportunities.
A day in the life:
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
About the team:
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, project reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded analyst and enable them to take on more complex tasks in the future.
JOB REPONSIBILITIES:
- Conducts statistical analyses to answer complex business questions
- Analyzes various data sources: administrative claims, electronic medical records, surveys, patient-reported outcomes, operational data
- Partners with stakeholders, applies analytic findings to enhance clinical and operational processes, improves customer experience, clinical, and financial outcomes
IDEAL CANDIDATE IS:
- A scientific leader - efficiently delivers complex solutions to ambiguous business problems; possesses an analytic toolkit and identify the right methods for poorly-defined and ambiguous problems; invents new approaches and adapt methods from other disciplines
- An influencer - a trusted partner in business and customer discussions; understands and communicates cross-team perspectives and makes sound decisions about trade-offs; interprets scientific findings to promote high-speed decision-making
- High standards and her/his work is exemplary and detail-oriented. Ensures accuracy, applicability, and scalability of your solutions
- Identifies and implements opportunities for improvement
- Deep expertise in healthcare analytics and the current healthcare landscape. Follows developments in research and analytic methodology and business innovation
- A teacher and a learner - provides and solicits respectful feedback from peers and leaders and mentors junior colleagues. Active in scientific community and participates in recruiting and promotion processes
REQUIRED QUALIFICATIONS:
- 5+ years of professional experience in healthcare advanced data analysis, modeling, and translating analytic findings into insight for business audiences
- 5+ years of hands-on experience accessing and summarizing data from large databases (e.g. using SQL), implementing statistical analysis, modeling, and data mining methods (e.g. using R, Python, STATA, SAS), and visualizing data for business audiences (e.g. using Tableau)
PREFERRED QUALIFICATIONS:
- Experience with retrospective study methods, including econometric techniques (e.g. propensity score matching, instrumental variables)
- Experience with prospective study design and measurement (e.g. power analysis, A/B testing, experimental design and randomization)
- Experience with healthcare utilization forecasting, risk modeling, and patient segmentation
- Publication and presentation record in high-caliber healthcare, economics, statistical methods and machine learning venues
- Experience collaborating with business, clinical, operations, finance, engineering, and product development partners to identify business needs and translate them into analytic questions
- Ability to communicate effectively and concisely with both technical and non-technical audiences
- Strong problem solving, organizational, and time management skills
- Meet/exceed the company's functional/technical depth and complexity for this role
- Meet/exceed the company's leadership principles requirements for this role
This job is no longer open