Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Чётко описанная роль в сфере медицинского ИИ в известном исследовательском учреждении даёт возможность вести проекты от разработки до запуска, но сочетает широкий набор задач по Data Science и инженерии.
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Scientist & Engineer (AI): Building machine learning and informatics solutions for large, complex clinical datasets with an accent on predictive modeling, healthcare data engineering, and production deployment. Focus on designing evaluation frameworks, integrating models into healthcare infrastructure, measuring clinical and operational impact, and leading data-oriented projects from development through go-live.
Location: New York, NY, US; NYU Grossman School of Medicine
Salary: $84,577.92–$110,250.00 annually
Company
hirify.global is an academic healthcare institution focused on medical education, scientific research, direct patient care, and applied AI technologies.
What you will do
Design and build machine learning, informatics, predictive modeling, and data-driven healthcare solutions.
Engineer workflows to collect, store, clean, process, and validate structured and unstructured clinical data.
Deploy and integrate data products, models, and infrastructure into the healthcare technology ecosystem.
Lead data-oriented projects through development, evaluation, deployment, go-live, and ongoing maintenance.
Establish metrics, run experiments, quantify model impact and ROI, and communicate trade-offs to stakeholders.
Collaborate with data scientists, engineers, clinicians, operations, and administrative teams; contribute to best practices and mentor team members.
Requirements
Master’s degree in a quantitative discipline such as Biomedical Informatics, Computer Science, Machine Learning, Applied Statistics, Mathematics, or a similar field.
At least 3 years of experience in machine learning or data science.
Proficiency in at least one programming language, including Python or R, and machine learning tools such as scikit-learn or R.
Knowledge of predictive modeling and machine learning design, development, evaluation, deployment, and scaling to large datasets.
Familiarity with big-data computing models and technologies, including Hadoop, MapReduce, or Spark.
Knowledge of relational databases, SQL, and NoSQL databases such as MongoDB.
Good understanding of software engineering principles and experience integrating modern software architectures.
Knowledge and some experience with software development and deployment operations, including automation, testing, virtualization, and container technology.
Knowledge of clinical and operational aspects of healthcare delivery, plus excellent written and oral communication skills for varied audiences.
Nice to have
PhD in a quantitative field such as Biomedical Informatics, Computer Science, Machine Learning, Applied Statistics, Mathematics, or a similar field, plus 2 years of experience.
Demonstrated ability to design and implement complex machine learning models.
Demonstrated software engineering and operational skills through prior projects.
Culture & Benefits
Inclusive workplace committed to equity, equal opportunity, and support for employees of all identities.
Comprehensive benefits and wellness package covering financial security, time off, employee resource groups, and seven areas of well-being.
Employment at NYU Grossman School of Medicine, an institution combining medical education, research, and patient care.
Hiring process
Applications must be completed online.
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