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About the position
Twist is seeking a Bioinformatics Scientist to join our Biopharma Bioinformatics team. You will work alongside research scientists, software engineers, and data scientists to further develop innovative computational solutions, contributing to accelerating and scaling Twist Biopharma Solutions's offerings. You will primarily develop Bioinformatics solutions for processing NGS data and designing novel sequence variants. Our ideal candidate demonstrates scientific creativity and is comfortable with standard Bioinformatics tools and techniques. Also, strong communication skills and a balanced ability to work independently and as a team member are desired.
Responsibilities
- Development of software solutions for storing, querying, processing, and visualizing biological data and sequences.
- Utilizing data science techniques and frameworks, including modeling (e.g., entity relationship diagrams), analysis (e.g., pandas, numpy, scikit-learn), and visualization (e.g., matplotlib, plotly)
- Contribute to the development of traditional as well as AI/ML-based solutions to design novel antibody sequences.
- Collaborate with internal members throughout all phases of R&D workflows, analyzing Bioinformatics requirements, addressing the requirements quickly, and providing technical support.
- Follow and establish software development best practices, including specification (gathering requirements), conceptualization, coding, testing, deployment, maintenance, and code versioning/management.
Requirements
- Master or PhD in Bioinformatics, Computational Biology, or related scientific discipline with a minimum of 4-5 years related experience
- Strong foundational coding skills in Python.
- Demonstrated experience in analyzing biological datasets (e.g., NGS), visualizing the results (e.g., interactive plots), and utilizing common file formats (e.g., FASTA, FASTQ).
- Basic understanding of cloud computing, workflow management systems, and CI/CD pipelines.
- Understand and/or have a passion for learning drug-discovery approaches using antibodies (e.g., antibody discovery & engineering).
- High interest in learning and contributing to developing web applications (e.g., Django, React) and utilizing database management systems (e.g., PostgreSQL).
