Jobs · Management · Maryland

Associate Director of Development, Institute for Basic Biomedical Sciences

The Johns Hopkins University · Baltimore, MD · 1 mo ago
HybridManagementFull-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.
  • Collaborate with cross-functional teams to define project scope and objectives.
  • Oversee the implementation and deployment of predictive models and algorithms.
  • Conduct regular performance evaluations and provide career development guidance to team members.
  • Stay updated on industry trends and incorporate new technologies into the team's workflow.

Requirements

  • A PhD in Computer Science, Statistics, or a related field.
  • Proven experience in leading and mentoring a team of data scientists.
  • Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Strong analytical and problem-solving skills.
  • Excellent communication and interpersonal skills.
  • Qualifications

    • Expertise in statistical modeling and data analysis.
    • Knowledge of big data technologies like Hadoop, Spark, or similar.
    • Experience with cloud platforms such as AWS, Google Cloud, or Azure.
    • Ability to manage multiple projects simultaneously and meet deadlines.

    Skills

    • Proficiency in Python and R programming languages.
    • Experience with data visualization tools such as Tableau or PowerBI.
    • Understanding of ethical considerations in data science.

    Benefits

    Comprehensive benefits package including health, life, and wellness programs, tuition assistance, career development opportunities, and work-life support initiatives.

    Pay

    $80,000 - $100,000 annually based on experience and qualifications.

    Schedule

    Full-time position with flexible working hours to accommodate remote work and team collaboration.

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