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Head of Computational Biology
2 months ago
Position Overview: Harnham is looking for an accomplished and visionary Director of Computational Biology to spearhead our innovative research and development initiatives.
Key Responsibilities:
- Strategic Vision: Establish a clear strategic vision for computational biology projects, particularly in the realm of diagnostic solutions. Collaborate with various teams to ensure alignment of computational biology strategies with the overarching goals of the organization.
- Research Leadership: Oversee research in computational biology aimed at creating advanced algorithms, models, and methodologies tailored for diagnostic purposes. Utilize sophisticated statistical methods and machine learning approaches to interpret intricate biological datasets and discover biomarkers relevant to disease diagnostics.
- Collaborative Engagement: Cultivate productive partnerships with both internal and external stakeholders, including bioinformaticians, biologists, clinicians, and industry collaborators. Work alongside cross-disciplinary teams to weave computational biology techniques into the fabric of diagnostic development processes.
- Team Development: Assemble and nurture a high-achieving team of computational biologists, bioinformaticians, and data scientists. Provide mentorship, guidance, and support to foster an environment of innovation, teamwork, and ongoing professional growth.
Required Qualifications:
- PhD in computational biology, bioinformatics, computer science, or a closely related discipline.
- Significant experience in either industry or academia, with a proven record of leadership.
- Expertise in programming languages prevalent in computational biology, such as Python or R, along with familiarity with bioinformatics tools and databases.
- Deep understanding of statistical methodologies, machine learning techniques, and data visualization strategies.
- Demonstrated success in leading cross-functional teams and managing projects from initial concept through to execution.
- Exceptional communication abilities, capable of effectively engaging with multidisciplinary teams and conveying complex technical information to non-specialist audiences.
We encourage qualified candidates to consider this opportunity to make a significant impact in the field of computational biology.
