Jobs · Business Development · Maryland

Corporate Partnerships Specialist, Bioengineering & Therapeutic Platforms (Johns Hopkins Technology Ventures)

The Johns Hopkins University · Baltimore, MD · 1 wk ago
Business DevelopmentFull-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 integrate data-driven insights into business strategies.
  • Develop and maintain robust data pipelines and models to ensure scalability and efficiency.
  • Conduct regular performance evaluations and provide career development guidance to team members.
  • Stay updated on industry trends and best practices in data science and machine learning.

Requirements

  • A minimum of 5 years of experience in data science or related field.
  • Proven track record of leading successful data science projects.
  • Expertise in Python, R, and SQL.
  • Familiarity with cloud platforms like AWS or Google Cloud.
  • Experience with machine learning frameworks such as TensorFlow or PyTorch.
  • Strong communication and interpersonal skills.
  • Qualifications

    • Master's degree in Computer Science, Statistics, Mathematics, or a related field.
    • Industry certifications in data science or machine learning preferred.
    • Ability to manage and mentor a team of data scientists.

    Skills

    • Data analysis and interpretation.
    • Machine learning model development and deployment.
    • Cloud computing and big data technologies.
    • Project management and leadership.

    Benefits

    • Competitive compensation package including base salary and performance bonuses.
    • Flexible working hours and remote work options.
    • Comprehensive health insurance and wellness programs.
    • Professional development opportunities and training.

    Pay

    $80,000 - $120,000 annually based on experience and qualifications.

    Schedule

    Full-time position with flexible working hours.

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