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Our Principal Data Scientist plays a vital role within our organization. Once you complete our training, your responsibilities will include shaping the company's data strategy and development of artificial intelligence and data assets. This position will also lead the data science practice through cross-functional collaboration, utilizing advanced analytics and machine learning techniques to derive actionable insights that contributes to the improvement of our SaaS products and data service solutions. Your attention to detail and adherence to precise procedures will guarantee that our medications meet the highest standards of safety, efficacy, and quality, providing patients with the best possible care and outcomes. Turn your passion for precision and your commitment to quality into a meaningful impact on healthcare across the US.
This is a hybrid role in Minneapolis, MN. Local candidates only.
What The Principal Data Scientist Does Each Day
Leads and mentors individuals assigned to data science related stories and projects, providing guidance and expertise in the development and implementation of data-driven solutions
Collaborates with leadership to define and execute the company's data strategy, ensuring alignment with business goals and objectives
Works closely with cross-functional teams, including software developers, QA analysts, and product management to integrate data science solutions into our products. Support management, customer success, sales, and business development teams with healthcare data science and BrightStream software background and knowledge
Stays abreast of industry trends and emerging technologies, bringing innovative ideas and best practices to enhance our data science capabilities. Identifies opportunities to improve and innovate within our core product and the overall company
Ensures the accuracy, reliability, and performance of data science models through rigorous testing, validation and ongoing performance monitoring
Designs and develop sophisticated machine learning models and statistical algorithms to extract actionable insights from large and complex datasets
Implements advanced analytics techniques to address specific business challenges within the healthcare industry
Conducts comprehensive data exploration and analysis to understand the underlying patterns, trends, and relationships within healthcare datasets
Leads efforts in feature engineering, identifying relevant variables and creating new features to enhance the performance of machine learning models
Collaborates with software developers and data analysts to ensure the availability and quality of data for analysis and model development
Oversees the deployment of machine learning models into production environments, ensuring scalability, reliability, and performance
Collaborates with software developers to integrate data science solutions seamlessly into existing software applications or healthcare systems
Implements monitoring mechanisms to track the performance of deployed models and iterate as needed to maintain accuracy and relevance over time
Writes complex SQL queries to extract data from source systems and in the BrightStream data model to support and expand the needs of our clinical software product
Leverages working knowledge of the clinical context of how the data is represented in the front-end user workflow of the EHR, and other partners in the healthcare ecosystem, such as Wholesalers, drug manufacturers, researchers and other healthcare tech companies. Bridges gaps between business problems, technical solutions, and clinical concepts
Troubleshoots and performs data audits to ensure and improve data integrity; investigate and collaborate to resolve data discrepancies
Our Most Successful Principal Data Scientist
Has working knowledge of one or more Electronic Health Record Platforms (Cerner or EPIC preferred)
Has expert SQL query writing skills in a Microsoft environment
Is proficient in one or more data mining/predictive modeling tools: Python, R, Snowflake
Writes reports focused on concepts such as clinician notes and documentation, medications, laboratory and pathology results, and operative reports, etc.
Is skilled with customer interactions that promote adaptive and effective use of data solutions and the BrightStream software
Effectively manages multiple projects and activities on a routine basis with minimal supervision
Has excellent communication skills including oral, written and public presentation
Tests and evaluates the quality of data sets, algorithms and visualizations
Has familiarity with HIPAA, PHI and Quality and Safety Regulations
Minimum Requirements For This Role
Master's or Ph.D. in Computer Science, Data Science, Statistics, or a related field
Proven experience (5+ years) in a senior data scientist role
Strong expertise in machine learning, statistical modeling, and data analysis
Proficiency in programming languages such as Python or R, and Microsoft SQL
Excellent leadership and communication skills, with the ability to convey complex technical concepts to non-technical stakeholders
Solid understanding of healthcare data, privacy regulations, and compliance standards
Experience with big data technologies and cloud platforms
18+ years of age
Able to successfully complete a drug and background check
Must be currently authorized to work in the United States on a full-time basis; Quva is not able to sponsor applicants for work visas
Any Of The Following Will Give You An Edge
Healthcare industry experience
Benefits Of Working At Quva
Set, full-time, consistent work schedule
Comprehensive health and wellness benefits including medical, dental and vision
401k retirement program with company match
17 paid days off plus 8 paid holidays per year
Occasional weekend and overtime opportunities with advance notice
National, industry-leading high growth company with future career advancement opportunities
The base compensation for this role is estimated to be within the range described below. The compensation offered may vary depending on relevant factors such as experience, skills, training, education, certifications, geographic location, and market conditions
Range: $113,724 - 156,371 Annually
About Quva
Quva provides industry-leading health-system pharmacy services and solutions, including 503B sterile injectable outsourcing services and AI-based data software solutions that help power the business of pharmacy. Quva Pharma’s multiple production facilities and industry-first dedicated remote distribution capabilities provide ready-to-administer sterile injectable medicines critical to patient care. Quva BrightStream partners with health systems to aggregate, normalize, and analyze large amounts of complex data across their sites of care, and through proprietary machine learning, transforms data into actionable insights supporting revenue optimization, script capture, inventory management, drug shortage control, and more. Quva’s overall progressive and integrated platform helps health-systems transform pharmacy management to achieve greater value and deliver highest-quality patient care.
Quva is an equal opportunity employer and is committed to creating and maintaining a work environment that is free from all forms of discrimination and harassment. Quva's Equal Opportunity Policy prohibits harassment or discrimination due to age, ancestry, color, disability, gender, gender expression, gender identity, genetic information, marital status, medical condition, military or veteran status, national origin, race, religious creed, sex (including pregnancy, childbirth, breastfeeding, and any related medical conditions), sexual orientation, and any other characteristic or classification protected by applicable laws. All employment with Quva is “at will.”
Seniority level Seniority level Mid-Senior level
Employment type Employment type Full-time
Job function Job function Engineering and Information Technology
Industries Pharmaceutical Manufacturing
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