Vacancy expired!
This growing healthcare technology company that focuses on improved outcomes and lower cost of care for patients is looking to scale out their due to recent and rapid growth. They are leveraging data and artificial intelligence to ensure patients are on the safest and most effective medication regimens possible. This role will involve working with large health claims datasets to support their current ongoing population health analytics needs by extracting, compiling, validating and analyzing data, to deliver reports, dashboards and presentations with data-driven insights. Come join one of the most exciting new digital healthcare companies in Silicon Valley! Required Skills & Experience
- 2-4 years of production level experience post academia
- 2+ years working on machine learning algorithms deployed into production
- NER Experience
- Strong experience modeling and engineering with Python
- Strong SQL experience
- Experience with data mining, data parsing, etc.
- Proficiency with visualization tools such as Tableau
- Minimum of a Masters Degree in relevant field
- Experience manipulating data frames, conducting analyses and creating graphics with Python, pySpark, R or other scripting languages
- Experience working directly with health care customers to define meaningful analyses and deliver analytical results.
- Bachelors or Masters in Computer Engineering
- NLP or other text classification experience
- NLTK, SpaCy
- Bash or Shell scripting
- SOLR or other search experience
- Experience working with engineering teams to deploy models into production
- Experience working with supervised and unsupervised Machine Learning
- Python
- SQL
- 60% Modeling/Testing
- 40% Deploying the models
- Competitive Salary: Up to $160-180K/year, DOE
- Medical Insurance & Health Savings Account (HSA)
- 401(k)
- Paid Sick Time Leave
- Pre-tax Commuter Benefit
- Annual performance bonus
- Flexible scheduling
- Profit Sharing
Vacancy expired!