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Senior Data Scientist (Healthcare)

90 000 - 150 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Data Scientist (Healthcare): Developing and implementing machine learning algorithms, statistical models, and data solutions for complex healthcare datasets with an accent on predictive analytics, clinical data, and high-dimensional data exploration. Focus on designing scalable analytic products, evaluating experiments, translating prototypes into production services, and solving data integration and requirements challenges.

Location: Remote; travel 1–20% within the US

Salary: $90,000–$150,000 annually

Company

hirify.global provides healthcare industry consulting, data, technology, and analytic solutions.

What you will do

  • Develop and implement machine learning algorithms, statistical models, predictive models, NLP solutions, and advanced analytic methods.
  • Design complex, reusable data solutions for prediction, probabilistic data matching, outlier identification, and confidence scoring.
  • Translate prototypes into products, services, and features with developers and architects, providing guidance for large-scale implementation.
  • Explore complex and high-dimensional datasets, generate and test hypotheses, and interpret product experiment results.
  • Gather requirements, assess implementation impacts across applications and data warehouses, and support build-versus-buy decisions.
  • Share data science practices through presentations, demonstrations, mentoring, training, and research.

Requirements

  • At least 4 years of applicable experience and a bachelor’s degree; a master’s degree is also listed as required experience.
  • Experience designing and developing statistical methodologies, including regression, t-tests, z-tests, log modeling, Naïve Bayes, and Monte Carlo simulation using R or Python.
  • Knowledge of healthcare data, including UB and 1500 claims, HL7, CDA, EHR data, and standard healthcare taxonomies.
  • Advanced data analysis and querying skills across ETL and three-tier application contexts, with Oracle, DB2, PostgreSQL, SQL Server, and Netezza.
  • Experience working with large patient datasets, data analytics and standardization, consulting, and conflict management.
  • Ability to communicate effectively, make independent decisions, adapt to changing priorities, meet deadlines, and collaborate in a business environment.

Culture & Benefits

  • Remote working conditions with a sedentary work environment.
  • Health, dental, vision, life, and disability insurance.
  • 401(k) retirement program, paid time off, and participation in employee incentive plans.
  • Tuition reimbursement, professional development opportunities, perks, and discounts.
  • Access to on-site and online exercise classes.

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