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5 дней назад

Principal Scientist, Bioinformatics (AI)

146 410 - 192 164$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK/US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Principal Scientist, Bioinformatics (AI): Developing generative AI models and agentic AI systems for novel disease-target discovery and designing high-affinity binders for CAR-T therapies with an accent on multi-omic analysis, structural biology, and geometric deep learning. Focus on engineering protein binders, modeling paratope-epitope interactions, optimizing biophysical properties, and reducing off-tumor toxicity.

Location: Somerset, New Jersey, United States; onsite. Applicants must be authorized to work in the United States.

Base pay: $146,410–$192,164 USD per year. Performance-based bonus and/or equity may be available for eligible roles.

Company

hirify.global is a biotechnology company developing cell-based therapies, including CAR-T, TCR-T, NK cell-based, and other emerging platforms.

What you will do

  • Architect and deploy agentic AI systems to mine multi-omic datasets, clinical literature, and biological pathways for novel tumor-specific drug targets.
  • Build predictive frameworks using transcriptomics and other datasets to evaluate target druggability and potential off-tumor toxicity.
  • Develop and adapt generative models, including protein language models, diffusion models, and inverse-folding algorithms, to design specific binders for tumor antigens.
  • Use geometric deep learning and structural biology to model paratope-epitope interactions and support CAR-T binder design.
  • Inspect and refine AI-designed binders by addressing physical anomalies, steric clashes, backbone strain, hydrophobic packing, and hydrogen-bonding networks.
  • Optimize binder biophysical properties to support CAR-T signaling and prevent T-cell exhaustion.

Requirements

  • Ph.D. in Computational Biology, Computer Science, Structural Biology, or Biophysics.
  • 3+ years of post-Ph.D. experience, or 6+ years for MS/BS, in the biotechnology or pharmaceutical industry or an advanced research setting focused on computational drug discovery, target identification, and antibody or binder design.
  • Expert programming proficiency in Python and deep learning frameworks, primarily PyTorch.
  • Experience building generative AI models and agentic AI systems using LLM orchestration frameworks to query biomedical databases and literature.
  • Deep familiarity with AlphaFold, ESMFold, RFdiffusion, ProteinMPNN, BindCraft, and FoldFlow.
  • Proficiency with physics-based simulation and structural optimization or visualization tools, including GROMACS, AMBER, OpenMM, and PyMOL.
  • Solid understanding of structural immunology and expertise in interface biophysics, including calculating interface binding energies (ΔΔG) and evaluating electrostatic surface potentials.
  • Familiarity with multi-omics platform datasets and target evaluation databases, including TCGA, Open Targets, Human Protein Atlas, and DepMap.

Culture & Benefits

  • Permanent full-time employees receive medical, dental, and vision insurance.
  • Benefits include a 401(k) retirement plan with a company match that fully vests on day one.
  • Eight weeks of paid parental leave are available after three months of employment.
  • Paid time off includes vacation, personal time, sick time, floating holidays, and eleven company holidays.
  • Additional benefits include flexible spending and health savings accounts, disability coverage, life and AD&D insurance, commuter benefits, family planning and care resources, and well-being initiatives.
  • Contractors are not eligible for benefits through hirify.global.

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