Job Description

• Clinical Stage Biotechnology
• On-Site

The ideal candidate will have an established track record in the field of structural biology, molecular dynamics and possess a broad base of computational skills which encompasses machine learning techniques as applied to structural biology.


The Responsibilities:

• Develop and extend the capabilities of the proprietary technology platform.
• Develop and extend user-friendly interfaces to proprietary technology platform.
• Perform epitope selection for discovery campaigns
• Development of the company’s structural bioinformatics pipelines
• Develop and implement new approaches to in-silico antibody discovery
• Where necessary manage in-house HPC and cloud-based bioinformatics software infrastructure
• Improve existing proprietary code-bases and develop new bioinformatics tools and algorithms
• Implement reproducible scientific software environments and pipelines
• Train company staff in relevant bioinformatics techniques and/or deploy bioinformatics solutions to meet their needs
• Provide support, mentorship and training to others
• Establishment and maintenance of documentation procedures and configuration profiles
• Perform other job-related duties as assigned

The Requirement:

• PhD in Computer Science, Physics, Mathematics, Engineering, B or Physical science.
• A minimum of 3 years post-PhD experience with demonstrated track record in project management
• Open source contributions or publications in academic journals demonstrating experience in scientific software development
• Good knowledge of antibody and/or protein-based modelling techniques
• Good knowledge of Unix style operating systems and HPC clusters
• Good knowledge of relational databases
• Proficient coding skills in relevant languages such as Python preferred
• Demonstrated ability to use commonly used molecular dynamics packages (e.g. GROMACS, OpenMM etc) for protein-based simulation
• Demonstrated ability to use commonly used homology modelling toolsets (e.g. Rosetta)
• Good time management skills with the ability to effectively plan, prioritize and co-ordinate multiple tasks and adjust to changing priorities to deliver results to tight deadlines
• Ability to find innovative solutions to complex problems and proactively seek out continuous improvement initiatives
• Excellent interpersonal skills with the ability to build strong relationships across internal and external partners
• Ability to work independently and with the flexibility to handle workflow in a fast-paced start-up environment
• Excellent verbal and written communication skills with good attention to detail

Additional Desirables:

• A strong background in physical sciences is preferred
• Use of machine learning in a variety of contexts (e.g. structure prediction, single-cell analysis)
• Familiarity with AlphaFold and other deep learning approaches
• Experience with in silico antibody design/engineering
• Good understanding of cancer biology and immunology
• Good knowledge of containerization and modern workflow management systems such as Docker, Snakemake, Nextflow or similar

Bayes advices leading technical businesses and progressive employers on talent acquisition, shaping perspectives and integrating recruitment expertise to fulfill critical and complex hires. If the role resonates with you and your professional experience complements the responsibilities listed, send your resume to rudy.p@bayesrecruitment.com


Bayes Recruitment Pte Ltd
16 Collyer Quay, Singapore 049318
bayesrecruitment.com
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