Scientist - Hybrid Molecular & Computational Biology

The Company

Dyno Therapeutics is reshaping the gene therapy landscape through AI-powered vectors. Through the application of our transformative technologies and strategic partnerships with leaders in gene therapy, we believe a future with life changing gene therapies for millions of people is within reach.

Our team includes world-class molecular and synthetic biologists, protein engineers and gene therapy scientists working alongside software engineers, data scientists, and machine learning experts. Dyno was named Xconomy's 2020 start up of the year and to Endpoints 11 in 2021!

The Role

Scientist - Hybrid Molecular & Computational Biology. The Raptor Project team designs and executes wet lab experiments to improve machine learning capabilities for sequence generation, this team sits within the Machine Guided Design group at Dyno. The team is responsible for experimental design, sequence generation, cloning, virus packaging, measuring virus properties in vitro and computational analysis to read out the data that inform the design of capsid sequences.

How You Will Contribute

As a Scientist within the Raptor Project Team you will support the entire cycle of experiment design and computational analysis. This role will focus at the bench on the experimental workflow (cloning, vector production and in vitro assays), but will provide the opportunity to learn and contribute to the machine learning and computational biology processes. There is room for this role to grow into a "full stack" scientist spanning both computational and experimental skillsets.

We are open to a range of experience for this role with a focus on the molecular and cell biology background. Formal experience with computational biology and/or machine learning is highly preferred as this role will be a 50/50 split of bench work and computational analysis.

Responsibilities

• Execute the design and cloning processes to build high-throughput libraries
• Execute methods for the production and purification of synthetic AAVs
• Design and execute in vitro assays to evaluate transduction properties
• Understand and communicate how experimental choices can influence computational workflows
  

Who You Are

• Excited by opportunities at the intersections of data science and biology
• A strong experimentalist eager to learn computational biology and machine learning approaches
• Trusted partner
• Team oriented
• Thoughtful & detail oriented
  

Basic Qualifications

• PhD in Biology, Molecular Biology, Genetics, Computational Biology or related field
• 5+ years hands-on wet lab experience

• Upcoming PhD candidates are encouraged to apply

Experience with one of the following areas:

• High-throughput library cloning
• Viral vector production and purification
• Tissue culture
• Library preparation for Next Generation Sequencing

Experienced with the following techniques: PCR, RT, digestions, ligations, purifications, miniprepsExperience with NGS computational workflows in Python or R
Preferred Qualifications

• Experience with barcoded NGS assays
• Experience or familiarity with AAV and/or gene therapy
  

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Job Type: Full-time