The Company
Have you ever found yourself or a loved one waiting hours and hours in a hospital Emergency Room to get care? Or have you ever had a surgery scheduled for months in the future that needed to happen sooner? Unfortunately, our healthcare system is full of these types of operational problems. Our work saves lives and helps hospitals cut tens of millions of dollars in operational costs, while improving the quality of care they’re able to deliver.
Qventus is a real-time decision making platform for hospital operations. Our mission is to simplify how healthcare operates, so that hospitals and caregivers can focus on delivering the best possible care to patients. We use artificial intelligence and machine learning to create products that help nurses, doctors, and hospital staff anticipate issues and make operational decisions proactively.
Qventus works with leading public, academic and community hospitals across the United States. The company was recognized by the 2019 Black Book Awards in healthcare for patient flow and by CB Insights as a 2019 top 100 Most Promising Company in Artificial Intelligence. In 2020, Qventus won the Robert Wood Johnson Foundation Emergency Response for the Healthcare System Innovation Challenge through its work helping health systems across the country plan for and operate in the COVID pandemic.
The role
Qventus is looking for Senior Data Scientists to help power the next generation of Qventus’s AI in our Inpatient solution. You’ll join a cross-functional team of clinicians, data scientists, data platform engineers, and product experts to help support optimized discharge planning and operations to get patients the right care faster and more efficiently across the country.
As a Senior Data Scientist at Qventus, you will have the opportunity to explore Qventus’ unique and rich Healthcare dataset to develop cutting edge solutions leveraging a wide range of machine learning, statistical, and other mathematical optimizations. You will evaluate potential modeling approaches, build features, implement and operationalize algorithms with your fellow data scientists and product teams, and drive meaningful advances to the quality and breadth of our ML solutions to boost Qventus intelligence and outcomes. You should be strongly motivated to have an impact in the company and dedicated to helping improve the quality of healthcare and patient outcomes. What we do can meaningfully change, and in some cases save, lives.
Key Responsibilities
Solve operational challenges in healthcare through the development, operationalization, and tuning of impactful machine learning and other mathematical approaches?
Collaborate with Product and Clinical partners to investigate, assess, and deploy POC solutions in strategic business areas
Design comprehensive experiments and analytics to measure the net impact of our interventions in healthcare settings
Create tools and resources to improve transparency into Data Science technical architecture and increase collaboration with engineering and analytics partners
Key Qualifications
3+ years research experience using a wide variety of statistical and machine learning techniques - particularly in NLP, explainable ML
2+ years of relative industry experience developing, launching, and iterating on machine learning models and/or developing the core data science platform
Proven ability to work with domain experts to design relevant features and design, develop and tailor algorithmic solutions to problems in healthcare, particularly in the hospital setting
Expertise with Python incl. expansive of available data science libraries and util
Hands on experience building and maintaining production machine learning pipelines (experience with Sagemaker preferred)
Strong software development foundations - dedication to high code quality, stable architecture and an eye towards maintainability
Nice to Have
Experience working with productionalized Generative AI (ChatGPT etc.)
Hands-on data engineering experience manipulating data sets, data cleaning, and pipelines
Dedication to mentorship and growing strong collaborative data science teams
Strong cross-functional communication with technical and non-technical partners
Experience with healthcare data and industry
Practical hands on experience with:
Deep Learning modeling techniques and infrastructure
Ecosystem of data platform technologies such as: AWS Services (RDS, ECS/EKS, Lambda, S3), DBT, Snowflake, Databricks
Data analytics tools (Looker preferred)
Master’s degree in Computer Science, Engineering, or related field, or equivalent training / experience
We consider several factors when determining compensation, including location, experience, and other job-related factors.
Salary Range: $150,000 to $179,000 annually + equity + benefits- Qventus expects to hire for this position near the middle of the range. Only in truly rare or exceptional circumstances where a candidate's experience, credentials, or expertise far exceed those required or expected will we consider and offer at the top of the salary range.
Qventus offers a competitive benefits package including medical, dental, vision, paid time off, company holidays, and a stock option plan.
Qventus is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.
Candidate information will be treated in accordance with our candidate privacy notice which can be found here: https://qventus.com/ccpa-privacy-notice/
This position does not provide visa sponsorship.
Employment is contingent upon the satisfactory completion of our pre-employment background investigation and drug test.
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