Byterna Therapeutics
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JOIN US

Build at the
AI–biology interface.

Bring your expertise to the pursuit of programmable immunity. Connect computational intelligence, RNA biology and experimental research to explore new possibilities for patients.

Explore talent areas Connect with our team
AI-native RNA therapeuticsOur R&D sites: Shanghai & Singapore

THE WORK

Different disciplines.
A shared scientific purpose.

Byterna is developing in vivo CAR-T therapies and personalized mRNA cancer vaccines, with a focus on unmet medical needs in oncology and autoimmune diseases.

01

Intelligence with biological context.

Our agentic AI operating system, byterna.AI, supports R&D, while NeoDiscovery.AI focuses on personalized cancer vaccine development. Computational work is connected to the questions researchers can test.

Explore our platforms
02

Design informed by experiments.

RNA engineering, targeted delivery, translational science and CMC contribute to a shared development system. Experimental results help assess designs and inform what comes next.

Explore our science
03

Research with patients in view.

Our mission is to unite artificial intelligence and life science to develop innovative therapies for serious diseases and deliver meaningful value to patients.

Explore our pipeline

TALENT AREAS

Where could you contribute?

We welcome conversations with people whose experience connects with the areas below. These are areas of interest rather than a list of confirmed vacancies. Contact our team to discuss current opportunities, role requirements and location.

01
Computational intelligence

AI Algorithm Engineer

Develop RNA design algorithms, AI agents and world models that connect computation with experimental learning.

Areas of focus

  • Research and evaluation of RNA sequence design algorithms, informed by biological function and experimental evidence.
  • Development of AI agents for research planning, tool use and workflow orchestration within byterna.AI, our agentic AI operating system.
  • World model research to learn predictive representations of biological systems and experimental processes, supporting simulation and experiment planning.
  • Integration of AI with laboratory automation to build design–build–test–learn loops with experimental teams.
  • Research into generative molecular design algorithms and experimental evaluation of proposed candidates.
  • Feed model evaluations and experimental outcomes back into byterna.AI, capturing reusable research knowledge to improve future designs and agent workflows.

Relevant backgrounds

Machine learning, generative modeling, AI agents, computational biology or research software engineering.

Discuss this area : AI Algorithm Engineer
02
Data & experimental learning

Data Scientist

Turn complex research data into evidence that helps guide the next experiment.

Areas of focus

  • Data quality, integration and traceability across computational and experimental workflows.
  • Statistical analysis and clear communication of uncertainty, limitations and findings.
  • Reusable analysis tools that support learning across research programs.
  • Structure datasets, analysis results and lessons learned for feedback into byterna.AI, enabling agent evaluation and reusable research knowledge.

Relevant backgrounds

Data science, statistics, bioinformatics or quantitative life science.

Discuss this area : Data Scientist
03
Program development

Project Lead, Pipeline R&D

Connect scientific priorities, cross-disciplinary work and research milestones.

Areas of focus

  • Research planning across RNA design, delivery, translational science and CMC.
  • Evidence-based milestone reviews and communication of scientific dependencies.
  • Coordination across disciplines to keep development decisions aligned with patient needs.
  • Capture decision rationales, milestone outcomes and lessons learned in byterna.AI to inform subsequent research plans and improve agent workflows.

Relevant backgrounds

Therapeutic research, translational science or cross-functional drug-development programs.

Discuss this area : Project Lead, Pipeline R&D
04
RNA biology & experimental research

Research Scientist

Use careful experimentation to test biological designs and strengthen the next iteration.

Areas of focus

  • Experimental research in RNA biology, immune-cell engineering or targeted delivery.
  • Assay development, controls and reproducible characterization of candidate designs.
  • Record protocols, experimental conditions, results and lessons learned in structured form for byterna.AI, closing the loop between computational predictions and experimental validation.

Relevant backgrounds

RNA biology, immunology, molecular or cell biology, drug delivery or related experimental disciplines.

Discuss this area : Research Scientist
05
mRNA design & drug discovery

mRNA Scientist

Design, validate and optimize mRNA candidates for therapeutic development.

Areas of focus

  • Sequence design for mRNA therapeutic candidates.
  • Proof-of-concept experiments to evaluate candidate activity and biological function.
  • Molecular optimization guided by experimental findings to improve candidate performance.
  • Feed sequence–function relationships, proof-of-concept results and optimization lessons into byterna.AI to build reusable knowledge and guide the next design cycle.

Relevant backgrounds

RNA biology, molecular biology or mRNA therapeutic research and development.

Discuss this area : mRNA Scientist
06
LNP formulation & targeted delivery

Formulation Scientist

Develop lipid nanoparticle formulations and explore the next generation of RNA delivery systems.

Areas of focus

  • Formulation development and optimization of lipid nanoparticles (LNPs) for RNA therapeutics.
  • Targeted LNP development to support delivery to specific cells and tissues.
  • Research into next-generation delivery systems and evaluation of their formulation and delivery performance.
  • Feed formulation parameters, delivery performance and experimental lessons into byterna.AI to build reusable knowledge and guide iterative formulation design.

Relevant backgrounds

Pharmaceutical sciences, formulation science, nanomedicine or drug delivery.

Discuss this area : Formulation Scientist
07
Clinical development & medical leadership

Clinical and Medical Head

Lead medical strategy and clinical development across China and the United States.

Areas of focus

  • Medical and clinical oversight of investigator-initiated trials (IITs) in China.
  • Leadership of clinical and medical work supporting investigational new drug (IND) applications in China and the United States.
  • Strategy, planning and oversight of registrational clinical trials.

Relevant backgrounds

Clinical medicine, medical affairs or clinical drug development.

Discuss this area : Clinical and Medical Head

OUR PRINCIPLES · PRIDE

The principles behind the work.

Our values describe how we aim to approach scientific questions, work with one another and turn research into progress.

Patients First

Keep unmet medical needs in view when choosing the questions worth pursuing.

Rigor & Integrity

Use appropriate controls, record limitations and let evidence guide decisions.

Intelligent Innovation

Connect computational ideas with biological insight and experimental learning.

Diverse Collaboration

Bring different disciplines and perspectives into the same scientific conversation.

Excellence in Execution

Turn thoughtful plans into reproducible work and clearly communicated outcomes.

START A CONVERSATION

Tell us what
you could bring.

Share your CV or a short professional introduction, the research area that interests you, and your preferred working location. You may also include links to publications, code or a portfolio.

hr@byterna.com
Are these confirmed job openings?

The areas above describe the expertise we are interested in connecting with. Please contact our team to confirm whether a relevant position is available.

Where would I be based?

Byterna has R&D sites in Shanghai and Singapore. The location and working arrangements for any position should be confirmed with our team.

Can I contact you if my background spans several areas?

Yes. Explain how your experience connects with our research, and indicate the areas where you would most like to contribute.