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13 часов назад

Data Scientist II (Biomedical AI)

Формат работы
onsite
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

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TL;DR

Data Scientist II (Biomedical AI): Develop and implement advanced statistical models, machine learning algorithms, and AI techniques including LLMs and NLP for large-scale biomedical and clinical datasets with an accent on predictive modeling, data integration, and health informatics. Focus on building scalable clinical data systems, conducting longitudinal analysis, and integrating models into platforms for research discovery.

Location: Onsite in Washington, DC metropolitan area (Bethesda, MD). Must be US Citizen with ability to obtain Public Trust 5 security clearance.

Company

Strategic consulting firm providing data-driven analytics and program management to federal public health agencies.

What you will do

  • Develop advanced statistical, machine learning, and AI models for biomedical and clinical data analysis.
  • Manage clinical data systems, perform integration, harmonization, and quality assessments.
  • Create dashboards, reports, and visualizations using tools like Tableau, Python, R, and Databricks.
  • Participate in biomedical informatics research and develop analytic tools for health discovery.
  • Collaborate with engineers to integrate models into scalable platforms.
  • Lead data science tasks, mentor juniors, and contribute to publications.

Requirements

  • Master's in data science, biostatistics, computer science, bioinformatics, or related (PhD preferred).
  • 5+ years in advanced statistical analysis, ML, or large-scale data analytics.
  • Experience with biomedical, clinical, or public health datasets.
  • Proficiency in R, Python, SAS, SQL, and Databricks.
  • Experience leading tasks or mentoring, collaborating with engineers/DevOps.
  • US Citizen able to obtain Public Trust 5 clearance.

Nice to have

  • Experience with HHS, NIH, or federal biomedical datasets.
  • AI/ML frameworks, NLP, deep learning.
  • Big data platforms like Spark, Databricks.
  • Clinical data standards and interoperability.
  • Contributions to biomedical research publications.

Culture & Benefits

  • Comprehensive benefits: Medical, Dental, Vision, Life Insurance.
  • Paid Time Off (PTO), 401K with company match.
  • Growth and promotion opportunities.

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