Associate Director, Data Science and Machine Learning

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Requirements:

• Ph.D. in a quantitative field such as Computer Science, Applied Mathematics, Statistics, Bioinformatics, or Engineering.
• Minimum of 7 years of experience in data science research, including 3 years in a leadership position.
• Extensive knowledge in machine learning and statistical modeling.
• Experience designing predictive models using various machine learning techniques.
• Proficiency in Python and open-source machine learning libraries.
• Strong knowledge of genetic data and bioinformatics pipelines.

Responsibilities:

• Lead and mentor a team of data scientists and researchers, fostering collaboration and innovation.
• Oversee research project design, execution, and analysis using advanced techniques.
• Manage multiple projects, ensuring timely completion and budget adherence.
• Collaborate with teams in bioinformatics, clinical, and product development.
• Drive innovation by staying updated on data science and genetics developments.
• Present findings to stakeholders and prepare scientific publications.