Expert II Data Science/Senior Expert Data Science, Capsid Engineering

Role Summary

We are seeking a highly motivated, independent Expert II Data Science or Senior Expert I in Computational Biology to expand our AAV capsid engineering platform. This role will drive innovation in AAV capsid engineering and vector characterization, used in the development of next-generation gene therapies for neuromuscular and neurogenetic diseases. This position will collaborate across disciplines and representing the group internally and externally. The position requires an in-depth understanding of computational biology coupled with machine-learning methods, next generation sequencing, AAV biology and modern structural and sequence-based approaches to protein engineering. This role will be closely associated with laboratory-based biologists, and wet-lab experience and knowledge of sequencing library protocols.

Responsibilities

• Contribute to the scientific strategy for AAV capsid engineering, integrating computational and experimental approaches.
• Analyzing data from directed evolution campaigns and designing AAV capsid libraries using statistical and machine learning models.
• Custom software development for analysis and machine learning-based engineering of screened capsid sequences and in-silico design of novel capsid variants.
• Development of new experimental methods for preparing Illumina and long read sequencing libraries in the lab.
• Preparing summaries of data and present internally to colleagues and management.
• Drafting SOPs, following protocols, diligently documenting experimental data in electronic lab notebooks, and authorizing scientific reports for internal documentation or regulatory submissions.
• Represent the team in internal and external scientific forums, driving the development of novel methods and technologies.
• Maintaining up-to-date knowledge of emerging technologies and scientific approaches in the field of gene therapy.
• Mentor colleagues and actively supporting a culture of innovation, learning, respect, and trust

Qualifications

• For Expert II Data Science
  • Ph.D. Bioinformatics, Computational Biology, Computer Science (recent Ph.D. welcome to apply) OR MS degree in bioinformatics, computational biology, computer science, structural biology or a related field with 4 years of relevant industry research experience
  • Proficiency in Python and/or R programming languages.
  • Prior experience in analyzing Illumina next-generation sequencing data from run QC, read preprocessing, analysis pipeline, and generation of final reports with interpretation and plots.
  • Experience with workflow management software such as Snakemake or Nextflow.
  • Experience with Amazon Web Services usage for cloud computing workflows and associated programming APIs.
  • Machine learning and statistical model experience with biological sequences.
  • Independent and critical thinker, multi-tasker, and problem solver with strong verbal and written communication skills, and a team-first mindset.
• For Senior Expert I, Data Science
  • PhD in Bioinformatics, Computational Biology, Computer Science, or a related field, with a minimum of 5 years of relevant industry experience.
  • Demonstrated scientific leadership and a record of high-impact publications, patents, and external presentations.
  • Advanced proficiency in Python and/or R, with professional software engineering experience (version control, testing, code reviews).
  • Extensive experience in analyzing Illumina and long-read sequencing data, including QC, preprocessing, and pipeline development.
  • Proven ability to design and implement machine learning and statistical models for biological sequence analysis.
  • Knowhow in utilizing protein structure analysis to developing protein design strategies.
  • Prior wet-lab experience in molecular biology and sequencing library preparation.
  • Experience with workflow management tools (e.g., Snakemake, Nextflow), cloud computing (AWS) and HPC.
  • Strong independent and critical thinking, problem-solving skills, and a collaborative, team-first mindset.
  • Excellent verbal and written communication skills, with the ability to engage effectively across scientific and technical disciplines.

Desirable Requirements

• Professional software engineering experience with version control, testing, and code reviews is strongly preferred.
• Familiarity with long read sequencing is a plus.