Software Engineer - Data Team

Do you have a passion for science and take pride in excellent work? Can you master cutting-edge technologies and rapidly develop new experimental methods? Are you highly collaborative, hardworking and creative?

Who we are

Dyno Therapeutics is a Cambridge based, VC-backed biotech startup that uses next-gen DNA technologies and machine learning to engineer Adeno-associated Virus (AAV) capsids for effective delivery of gene therapies.

What we offer you

As a member of our new and quickly growing company, you’ll help us shape Dyno from the very beginning into a startup that not only takes its scientific mission seriously but also provides a positive and supportive workplace environment. And Dyno will have the opportunity to benefit from the insight, diversity, and talent that you’ll bring. Together, we’ll help turn gene therapy into reality.

Our mission

Dyno wants to help transform the gene therapy universe. AAV capsids are the vector of choice when it comes to delivering transgenes in vivofor gene therapy and genome editing. Eclipsing all of its predecessors, AAV is at the forefront of gene delivery approaches both at the research level and at the clinical front. Dyno aims to make it even better. Doing so will enable treatment for millions of patients with currently incurable, often disabling and deadly diseases, and we invite you to become a part of that.

How?

Dyno has a transformative pipeline for AAV engineering that harnesses DNA library synthesis, high-throughput sequencing, and machine learning to improve AAV capsids and lift them above current fitness landscape boundaries into unexplored areas. While AAV is the current go-to method for gene delivery, there’s much room for improvement with regard to central factors like delivery efficiency, tissue and cell-type targeting, evading the immune system, and others. These limitations stand between the many significant advances achieved in gene therapy research and their translation into real-world, effective therapies. Our approach resolves these issues, generating next-gen AAV vectors that move gene therapies from the lab into clinics for the benefit of patients worldwide.

Where?

Dyno is located near Kendall Square in Cambridge within the dynamic LabCentral community, alongside other new companies that are turning ideas into reality, changing the biotech and medical scenes. We’ve recently joined this exciting hub and are thrilled to expand our Team with hardworking, highly qualified, highly motivated individuals.

General role: The data science team is at the heart of Dyno’s platform, and your work as a part of this team can have a major impact on the future of gene therapy. Our team's responsibilities spans from analyzing biological data in a statistically rigorous manner to building machine learning models, developing computational optimization approaches, and contributing to experimental design of high-throughput viral libraries. A successful candidate will be taking a leading role in the design and architecture of our end-to-end data pipeline, creating strong software quality standards, and collaborating closely with data scientists to streamline the process of running machine learning models on our data effectively.

As an early member of our team, you will have the opportunity to help craft our approach, shape our culture, and positively impact people’s lives. You will work closely with a group of talented, driven, and fun scientists. We are located in Lab Central in a dynamic community of biotech startups. The guideline below should give you a rough picture of who we are looking for, but depending on your background, you may bring different qualities to our team. Don't hesitate to write to us if you think you are a good fit. We offer competitive benefits.

Qualifications:

  • BS, MS, or Ph.D. in Computer Science (or related fields) or equivalent experience.
  • Expertise in Python.
  • Understanding of data warehousing architectures.
  • Ability to communicate and collaborate with scientists of different backgrounds.

Preferred qualifications:

  • 1+ years work experience in software development, including databases, and distributed computing.
  • Experience designing or maintaining complex software platforms.
  • Proficiency with the common data stack. Hadoop, Hive, Spark, MySQL etc.

Nice to have:

  • Proven experience with at least one machine learning library (such as Tensorflow or pyTorch) as well as ability to run them on large datasets in a distributed manner.
  • Internships/experience at leading software companies.

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

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