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Research Scientist (Antibody Technology), EDDC

Research Scientist (Antibody Technology), EDDC

A •star Research EntitiesSingapore
3 days ago
Job description

About EDDC :

EDDC is a National platformdedicated to developing innovative therapies that transformpatients lives. Our research and development efforts are focused onuncovering the underlying mechanisms of disease and translatingthis knowledge into impactful treatments. We work collaborativelywith public sector and industry partners to translate scientificdiscoveries arising from Singapore"s biomedical and clinicalsciences R&D into innovative healthcare solutions, with a focuson Asian-prevalentdiseases.

PositionOverview :

We are seeking atalented and motivated AI-Driven Antibody Design Scientist to joinour interdisciplinary team. In this role, you will develop andapply state-of-the-art machine learning (ML) models to design andoptimize antibodies, driving innovation in therapeutic discovery.You will collaborate closely with wet-lab scientists, computationalbiologists, and cross-functional teams to acceleratedesign-build-test cycles and deliver transformative antibodysolutions.

KeyResponsibilities :

  • Develop and apply sequence- and structure-based ML modelsto design antibodies with optimized properties, including efficacy,specificity, and developability.
  • Engineer MLmodels to predict and enhance antibody-antigen interactions,enabling targeted and data-driven antibody design.
  • Collaborate with wet-lab teams to integrate experimentaldata into ML pipelines, iteratively refining models to improvepredictive accuracy and design outcomes.
  • Leadthe end-to-end development of ML pipelines, including dataacquisition, preprocessing, model training, validation, anddeployment.
  • Stay at the forefront of AI / MLadvancements and antibody design innovations, identifyingopportunities to enhance internal capabilities andworkflows.
  • Communicate complex ML concepts andresults effectively to interdisciplinary teams, fosteringcollaboration and driving projectsuccess.

Qualifications :

  • PhD (preferred) or Master's / Bachelor's degree inComputational Biology, Machine Learning, Bioinformatics,Biophysics, or a related field. Exceptional candidates withrelevant experience will be considered.
  • Proventrack record of leading machine learning research projects thatresulted in impactful tools, publications, oradvancements.
  • Strong foundation in statistics,machine learning, and deep learning, with hands-on experience indeveloping, training, and tuning models.
  • Proficiency in Python, PyTorch, and ML frameworks formodel development and evaluation.
  • Experiencewith Unix / Linux environments, cloud platforms (e.g., AWS), andversion control tools like GitHub.
  • Ability tothrive in a fast-paced, collaborative environment, with aproblem-solving mindset and attention to detail.
  • Strong interpersonal skills, with a team-first attitudeand a commitment to mentoring junior team members and fosteringinnovation.

    • PreferredSkills :

  • Experienceworking with protein sequence / structure data or relatedcomputational biology tools (e.g., Rosetta, AlphaFold,etc.).
  • Knowledge of antibody engineering,immunology, or therapeutic development workflows.
  • Familiarity with NGS data analysis and integratingexperimental datasets into ML pipelines.
  • Excellent communication skills, with the ability totranslate complex technical concepts into actionable insights fordiverse audiences.

    • WhyJoin Us?

  • Work at theintersection of AI, biology, and drug discovery, tackling some ofthe most exciting challenges in biotechnology.
  • Collaborate with a passionate, interdisciplinary team ofscientists and engineers.
  • Access tocutting-edge tools, technologies, and resources to driveinnovation.
  • Competitive compensation,benefits, and opportunities for professionalgrowth.