Jobs · Analyst · Maryland

Clinical Research Coordinator (Oncology)

The Johns Hopkins University · Baltimore, MD · 2 wk ago
AnalystFull-time

About the role

The role involves managing a team of researchers and overseeing projects related to advanced data analytics and machine learning applications.

Responsibilities

  • Lead a team of data scientists in developing innovative solutions using cutting-edge AI techniques.
  • Oversee project timelines and budgets, ensuring alignment with organizational goals.
  • Collaborate with cross-functional teams to integrate data-driven insights into business strategies.
  • Conduct regular performance evaluations and provide career development guidance to team members.

Requirements

  • Bachelor’s degree in Computer Science, Statistics, or a related field.
  • Minimum 5 years of experience in data science or related fields.
  • Proven track record of leading successful data analysis projects.
  • Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Strong understanding of statistical methods and data modeling.
  • Excellent communication and interpersonal skills.
  • Qualifications

    • Master’s degree in Computer Science, Statistics, or a related field.
    • Experience with big data technologies like Hadoop, Spark, or similar.
    • Knowledge of cloud platforms such as AWS, Azure, or Google Cloud.
    • Ability to mentor and develop junior data scientists.

    Skills

    • Proficiency in Python and R programming languages.
    • Experience with data visualization tools such as Tableau or Power BI.
    • Understanding of ethical considerations in data science.
    • Experience with agile methodologies and project management tools.

    Benefits

    Our organization offers comprehensive benefits including health, life, and wellness programs, tuition assistance, career development opportunities, and work-life support initiatives.

    Pay

    The starting salary range for this position is $80,000 - $120,000 annually, commensurate with experience.

    Schedule

    This role is full-time and requires a standard 40-hour workweek.

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