Dyno Therapeutics

Job Title: Sr. Scientist – AAV Engineering, Project Lead

Job Number: 24972

Location: Cambridge, MA

Job Description

In coordination with scientific leadership and technical support staff, your role will be to lead AAV capsid engineering projects. This will involve applying the Dyno screening platform to create novel AAV capsids with specifically tailored biological properties. In leading this project, you will be responsible for understanding the needs of our partners. You will then identify and implement strategies for applying Dyno’s platform to improve AAV capsids for these applications. Success in this role will rely on your ability to collaboratively integrate the many disciplines represented within Dyno, from molecular biology to machine learning.


  • Lead a research project focused on creating novel AAV capsids with tailored properties
  • Develop and refine the scientific aims, timeline and workflow of this project
  • Create and validate project-specific in vitro and in vivo AAV capsid selection assays
  • Design and coordinate the preparation of AAV capsid libraries
  • Analyze and interpret the results from each round of screening, with an emphasis towards iteratively improving library design
  • Collaborate with a diverse team of wet-lab scientists, protein engineers, and computational scientists
  • Assist in lab organization, including ordering supplies and restocking 

Required Skills

  • PhD in biology, biochemistry, biomedical engineering, or a related field
  • 5+ years hands-on wet lab experience
  • Strong background in DNA cloning, modification, and analysis methods 
  • Expertise in molecular biology and next-generation sequencing-based approaches (such as bulk or single-cell RNA-Seq, Chip-Seq, whole genome or exome sequencing, etc)
  • Established experience in mammalian tissue culture methods (maintenance, passaging, quality control, viral production)
  • Skilled in RNA and protein  purification and analysis (qPCR, RT-qPCR, Western, etc.)

Preferred qualifications:

  • 2+ years post PhD experience
  • Hands on experience using AAV capsids for gene delivery
  • Experience in computational analysis of biological data (preferably next-gen sequencing based) using a general-purpose programming language (such as Python, R or Matlab)
  • Mentoring and managing experience


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