Scientist I, Immune Evasion

Dyno Therapeutics

Not Interested
Bookmark
Report This Job

profile Job Location:

Watertown, NY - USA

profile Yearly Salary: $ 123807 - 148568
Posted on: 3 hours ago
Vacancies: 1 Vacancy

Job Summary

The Role

Scientist I Immune Evasion. Advancing Dynos immune evasion capabilities by developing and executing innovative assay strategies that enable the discovery and clinical readiness of next-generation capsids.

Job Type: Full Time onsite

Location: Watertown MA

How You Will Contribute

As a Scientist I you will independently lead and evolve Dynos high-throughput immune evasion assay platform driving antibody evasion studies that support CNS and Muscle capsid discovery programs and partnering cross-functionally to shape experimental strategy and address technical gaps. You will also help expand the teams immune evasion capabilities beyond pre-existing antibodies to emerging clinical readiness challenges including re-dosing T-cell responses complement activation and innate immunity.

At Dyno every role is mission-driven. Whether in science engineering operations or business each AAViator contributes to solving some of the most complex challenges in genetic medicine.

Responsibilities:

  • Independently execute and support high-throughput immune evasion (IE) assays including antibody neutralization and total antibody immunoprecipitation (tAb IP) workflows to ensure uninterrupted support for CNS and Muscle capsid discovery programs.
  • Own the day-to-day operation optimization and troubleshooting of immune evasion assay platforms iteratively refining workflows and developing new assay formats in response to evolving program needs and emerging data.
  • Analyze interpret and communicate immune evasion screening data to cross-functional stakeholders helping inform capsid selection and discovery strategy.
  • Contribute to the expansion of Dynos immune evasion capabilities beyond antibody neutralization by reviewing literature proposing experimental approaches and conducting feasibility studies related to re-dosing T-cell responses complement activation and innate immunity.
  • Partner closely with Immune Evasion CNS Muscle and in vivo teams to identify technical gaps improve assay throughput and robustness and accelerate progress toward clinically ready capsids.
  • Support the long-term development of internal immune evasion discovery capabilities including high-throughput library cloning and production workflows to increase team self-sufficiency and create additional bandwidth for receptor-targeted capsid discovery efforts.

Basic qualifications

  • Ph.D. (or equivalent experience) in Immunology Cell/Molecular Biology or a closely related discipline with deep understanding of immune mechanisms relevant to gene therapy (e.g. humoral immunity antigen presentation immune cell activation).
  • Hands-on experience with immunological assays (e.g. immunoprecipitation ELISA neutralization ELISPOT assays) and molecular biology techniques (qPCR flow cytometry NGS library prep NGS-based experimental design).
  • Prior experience with antibody biology and/or adaptive immune responses (e.g. B-cell/T-cell biology serology neutralization mechanisms). This is directly relevant to the teams core mandate.
  • Strong experimental design skills and the ability to independently troubleshoot complex multi-step assay workflows.
  • Ability to critically evaluate scientific literature and translate findings into actionable experimental hypotheses.
  • Foundational knowledge of statistical methods for data analysis and hypothesis testing.
  • Effective scientific communicatorable to present results clearly to both technical and cross-functional audiences.

Preferred qualifications

  • Familiarity with in vivo models of immune response or experience interpreting in vivo immunogenicity data in the context of gene therapy or biologics.
  • Prior experience designing and working with high-throughput libraries (DNA/molecular) or large-scale screening workflows.
  • Working knowledge of Python or R for data analysis; comfort with large datasets from NGS or high-throughput screening.
  • Exposure to AAV biology gene therapy or viral vector engineering.

The Company

At Dyno Therapeutics we are a high-energy high-impact team on a mission to build high-performance genetic technologies that transform patient lives. Our team unites world-class molecular biologists protein engineers software developers data scientists and machine learning expertsall working together at the intersection of AI and genetic medicine.

Our culture is defined by three core values that guide everything we do:

  • One Mission: Everything we do is for the mission. We are a cohesive and motivated team thinking ahead and supporting one another to overcome challenges.
  • Proactive Responsibility: We take action inject energy into our work and hold ourselves accountable for delivering results.
  • Reaching for Excellence: We constantly strive for excellence fueled by curiosity adaptability and the courage to speak hard truths in pursuit of success.

These values are more than wordsthey drive our actions and decisions. Our greatest strength isnt technologyits our work ethic. More than just technologists were a team of relentlessly resourceful problem-solvers: with an unshakable drive we generate breakthroughs at the intersection of AI and genetic medicine.

What Youll Give:

  • Bring an unstoppable work ethic stepping up when things get tough and adapting as priorities shift.
  • Embrace challenges as opportunities finding solutions where none exist and driving innovation forward.
  • Operate with urgency responsibility and resilience because this mission demands the best from us.

What Youll Get:

  • Competitive compensation & equityyour contributions drive results and we pay accordingly.
  • Mission-aligned high-trust environmentwe succeed together supporting each other through challenges.
  • A career-defining experiencework at the forefront of AI-driven genetic medicine tackling problems that reshape healthcare.

If youre ready to push boundaries build the future and thrive in a fast-moving high-impact environmentwed love to hear from you.

At Dyno we believe in transparent and equitable compensation practices.

Base Salary Range: $123807.01 $148568.41/year

This reflects the typical offer range for this role based on experience role scope and internal equity. Final compensation decisions are made using a consistent leveling framework and consider the candidates experience interview performance and expected impact.

This role is eligible for:

  • Annual performance-based bonus
  • Stock options
  • Comprehensive medical dental and vision coverage
  • 401(k) plan
  • Flexible paid time off and holidays
  • Perks including on-campus gym membership onsite lunch commuter support and company provided laptop

Our compensation ranges are reviewed annually to ensure alignment with market trends and internal equity.

Equal Employment Opportunity (EEO) Statement

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.

Fraud Alert: Please be aware of recruitment scams targeting job seekers. Dyno Therapeutics will never make an offer of employment without conducting a formal interview process nor will we ask for personal information such as financial details over email. Official communication will only come from an @ email address. If you are contacted by someone claiming to represent Dyno Therapeutics from any other domain please report it as spam and report the communication to us at


Required Experience:

IC

The RoleScientist I Immune Evasion. Advancing Dynos immune evasion capabilities by developing and executing innovative assay strategies that enable the discovery and clinical readiness of next-generation capsids.Job Type: Full Time onsiteLocation: Watertown MAHow You Will ContributeAs a Scientist I ...
View more view more

About Company

Company Logo

Reshaping the gene therapy landscape with AI-powered vectors

View Profile View Profile