Job Title: Senior Scientist, Computational Biology

About The Role: We are seeking a highly skilled and experienced Senior Computational Biologist to join our dynamic team. The ideal candidate will have a strong background in computational, statistical, and AI/ML methods, and will bring leadership competencies, agility, and a passion for learning. This role is based at our headquarters in Cambridge, MA or at our research site at Ghent, Belgium. Join us and be a part of a team that's pushing the boundaries of computational biology in AgTech. Together, we'll make a difference and drive innovation in the field.

Key Responsibilities:

• Lead the development of computational and statistical models to analyze large-scale biological data.
• Utilize AI/ML techniques to integrate and interpret multi-omics datasets for target identification and validation.
• Set the scientific direction and strategies for complex systems biology-based initiatives, pushing the boundaries of what's possible.
• Collaborate with interdisciplinary teams, including molecular biologists, computational biologists, and machine learning experts, to translate computational findings into actionable insights.
• Stay abreast of novel methods and technologies in the field and demonstrate strategic thinking in their application.
• Present research findings to internal and external stakeholders through talks, peer-reviewed publications, and conference presentations.
• Mentor and manage junior scientists, fostering a collaborative and innovative research environment.

Qualifications:

• D. or equivalent with 5+ years of experience in bioinformatics, computational biology, systems biology, or a related quantitative field.
• Proficiency in programming languages such as R and Python, and experience with high-performance computing and cloud environments.
• Strong background in network analysis, systems biology, and computational modeling.
• Proven track record of independent research and a strong publication record in peer-reviewed journals.
• Excellent communication and collaboration skills, with the ability to interact effectively with colleagues from diverse scientific backgrounds.
• Creative and strategic thinking, good problem-solving skills, and the ability to recognize and learn from failures.
• Ability to set long-term goals and strategies, aligning them with the company's mission and objectives.
• Strong organizational and time management skills to ensure efficiency in planning and execution.

Preferred Qualifications:

• Demonstrated strong leadership in projects or people management
• Previous industry experience in Agriculture or Pharmaceuticals.
• Experience with AWS, Docker, Git, NextFlow, Batch, and Agile methodologies.
• Experience in plant genomics data is a plus but not required.

 

 

 

 

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