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Director of Computational Biology and Data Science
2 months ago
Job Summary:
We are seeking a highly skilled and experienced Director of Computational Biology to lead our cutting-edge research and development efforts at Harnham. As a key member of our team, you will be responsible for providing strategic direction and vision for computational biology initiatives with a specific focus on diagnostic applications.
Key Responsibilities:
- Strategic Leadership: Develop and implement a comprehensive strategy for computational biology initiatives, aligning with organizational goals and objectives.
- Research and Development: Lead computational biology research efforts to develop novel algorithms, models, and methodologies for diagnostic applications, applying advanced statistical analysis and machine learning techniques to analyze complex biological data sets.
- Collaboration: Foster collaborative relationships with internal and external stakeholders, including bioinformaticians, biologists, clinicians, and external partners, to integrate computational biology approaches into diagnostic development workflows.
- Team Leadership: Build and mentor a high-performing team of computational biologists, bioinformaticians, and data scientists, providing leadership, guidance, and support to team members to foster a culture of innovation, collaboration, and continuous learning.
Requirements:
- PhD in computational biology, bioinformatics, computer science, or a related field.
- Strong experience in industry or academia with previous leadership experience.
- Proficiency in programming languages commonly used in computational biology, such as Python/R, and experience with bioinformatics tools and databases.
- Strong understanding of statistical analysis, machine learning techniques, and data visualization methods.
- Proven track record of leading cross-functional teams and driving projects from conception to completion.
- Excellent communication skills with the ability to effectively collaborate with multidisciplinary teams and communicate complex technical concepts to non-technical stakeholders.