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Data Science Leader

2 months ago

Minneapolis, Minnesota, United States OneOme Full time
About OneOme

We are a pioneering precision medicine company, dedicated to providing cutting-edge pharmacogenomic solutions that empower healthcare professionals to make more informed medication decisions. Our innovative RightMed solution helps healthcare organizations optimize patient outcomes and reduce costs by facilitating personalized prescriptions. Paired with an in-house CLIA-certified, CAP-accredited lab, OneOme's RightMed test provides valuable genetic insights that doctors, pharmacists, and other healthcare providers can use to inform medication decisions for their patients. Our mission is to provide the most cost-effective, comprehensive, and personalized pharmacogenomics analysis integrated into patients' everyday clinical care.

Job Description

As a Principal Data Scientist at OneOme, you will play a critical role in building best-in-class data science and AI capabilities to advance our product and program offerings. This includes developing predictive and advanced algorithms for medication risk management, behavioral change, and program outreach optimization using the latest algorithms, development methods, and modern cloud-based automation and deployment pipelines. Responsibilities also include developing next-generation visualization capabilities. The ideal candidate will have experience in healthcare data and AI, a background in genomics, and a strong work ethic, intellectual curiosity, and a desire to work hard and have fun.

Responsibilities
  • Develop AI/ML and advanced analytics capabilities within OneOme's product suite.
  • Manage analytics deliverables and partner with vendor resources to ensure successful project delivery.
  • Perform descriptive and advanced statistical analyses using large patient and/or claims databases in support of data mining, predictive modeling, and health outcomes projects.
  • Build data science pipeline and platform capabilities for large-scale real-world evidence (RWE) studies and health economic analyses.
  • Develop sophisticated data visualization capabilities to convey insights related to population intervention programs and/or risk and health of patients on multiple medications.
  • Help develop project plans, execute deliverables within agreed-upon timeframes, manage deadlines, communicate progress, and make recommendations to address issues.
  • Collaborate closely with software engineers' team on various capability deployments.
Qualifications
  • MS or Ph.D. in Computer Science, AI, Data Science, Statistics, Mathematics, or similar areas of academic training is required.
  • Solid foundation in applied mathematics, such as statistics, linear algebra, optimization.
  • 7+ years of experience building machine learning and data science applications.
  • 5+ years of experience in Python programming language.
  • 3+ years of SQL programming experience.
  • 2+ year experience implementing AI/ML solutions in a cloud-based environment is required (Azure, AWS preferred).
  • 1+ years experience implementing and fine-tuning LLMs strongly preferred.
  • 3 years experience with healthcare payer claims data is strongly preferred.
  • Experience in health economics and/or outcomes research that focuses on calculating total cost of care and savings related to population health interventions is strongly preferred.
  • Experience with reporting and visualization tools, such as Power BI, Tableau, etc is preferred.
  • Comfortable with the command line/Unix systems.
  • Experience with genomics strongly preferred.
Position Location

Remote or OneOme Headquarters, 807 Broadway St NE, Suite 100, Minneapolis, MN 55413

Schedule and Hours

This position requires the ability to work Monday – Friday during core business hours.

Work Environment

OSHA RISK FACTOR CATEGORY 1. The employee is regularly required to talk or hear. The employee frequently is required to stand, walk; sit; and use hands to finger, handle, or feel, and work with a computer. The employee is occasionally required to reach with hands and arms; climb or balance; stoop, kneel, crouch, or crawl; and smell. The employee must occasionally lift up to 50 pounds and/or carry objects weighing up to 25 pounds. The employee is required to perform repetitive motions, including reaching above the head, and typing. Specific vision abilities required by this job include peripheral vision, depth perception, and ability to adjust focus. Color-blindness testing is required for those with job-specific duties requiring color discrimination.