Direct message the job poster from X4 Life Sciences
Jorge Perez
Computational Sciences Consultant at X4 Life Sciences
About the Company:
A leading biopharmaceutical company specializing in innovative research and development in oncology and immunology is looking to transform the lives of patients through groundbreaking therapies and personalized medicine. They leverage cutting-edge technology and a deep understanding of disease mechanisms to develop novel treatments that address unmet medical needs.
Position Overview:
We are seeking a highly skilled and experienced Director of Computational Biology to lead the computational biology team. The ideal candidate will have a strong background in computational methods, data science, and their application to oncology and immunology. The Director of Computational Biology will play a pivotal role in driving the integration of computational approaches with experimental biology to advance our drug discovery and development programs.
Key Responsibilities:
Leadership & Strategy:
Lead and mentor a team of computational biologists and bioinformaticians.
Develop and execute computational strategies that align with the company’s research goals in oncology and immunology.
Collaborate with senior leadership to integrate computational insights into the overall research and development strategy.
Research & Development:
Design and implement computational workflows for analyzing high-throughput omics data (e.g., genomics, transcriptomics, proteomics).
Develop and apply machine learning algorithms and statistical models to identify biomarkers and therapeutic targets.
Oversee the integration of multi-omics data to enhance our understanding of disease mechanisms and drug responses.
Collaboration & Communication:
Work closely with experimental biologists, chemists, and clinical researchers to interpret computational findings and guide experimental design.
Communicate complex computational results to non-specialist stakeholders effectively.
Foster collaborations with academic and industry partners to stay at the forefront of computational biology advancements.
Technology & Innovation:
Drive the adoption of new computational tools and technologies to enhance data analysis and visualization.
Ensure best practices in data management, reproducibility, and computational workflows.
Project Management:
Oversee multiple projects, ensuring timely delivery and alignment with company goals.
Manage resources, budgets, and timelines for computational biology initiatives.
Qualifications:
Education:
Ph.D. in Computational Biology, Bioinformatics, Systems Biology, or a related field.
Experience:
Minimum of 8 years of experience in computational biology or bioinformatics, with a focus on oncology and/or immunology.
Proven track record in leading computational biology teams and projects.
Experience in drug discovery and development in a biopharmaceutical or academic setting is highly desirable.
Technical Skills:
Proficiency in programming languages such as Python, R, or C++.
Extensive experience with bioinformatics tools and databases.
Strong background in statistical analysis and machine learning techniques.
Expertise in analyzing high-throughput sequencing data and multi-omics integration.
Leadership & Communication:
Demonstrated leadership skills with the ability to inspire and guide a team.
Excellent communication skills, with the ability to convey complex scientific information to diverse audiences.
Strong project management skills with attention to detail and deadlines.
Other:
Ability to work in a dynamic and collaborative environment.
Commitment to continuous learning and staying current with advancements in computational biology and related fields.
Benefits:
Competitive salary and performance-based bonuses.
Comprehensive health, dental, and vision insurance.
401(k) with company match.
Generous paid time off and holiday schedule.
Professional development opportunities.
Flexible work arrangements.
Seniority level
Director
Employment type
Full-time
Job function
Research, Management, and Science
Industries
Biotechnology Research
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