pythonrmachine learningstartupbioinformaticsdata curationgenomicscomputational biologybiological foundation modelsbioinformatics pipelines
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Роль четко связана с вычислительной биологией и поддержкой исследований ИИ-лаборатории, но формат стартапа и работа на месте в США сужают круг доступных возможностей.
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Биология на базе ИИ
Сильная исследовательская среда
Современные технологии
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Member of Technical Staff: Computational Biology (AI/Generative Genomics): Building curated biological datasets, reproducible bioinformatics pipelines, and analyses that support generative biology models with an accent on genomics, gene regulation, protein biology, and systems biology. Focus on defining biologically meaningful evaluation tasks, investigating model failure modes, and translating wet-lab hypotheses into new training data.
Location: San Francisco, United States
Company
hirify.global is an AI research lab building general biological intelligence, including generative genomics and multimodal genome language models.
What you will do
Curate and integrate large biological datasets with provenance, quality control, and documented assumptions.
Build reproducible bioinformatics and analysis pipelines across sequencing, functional genomics, single-cell, perturbational screening, protein, or other relevant data.
Design data mixtures and sampling strategies for model training and investigate dataset composition, assay effects, duplication, and biological coverage.
Define biologically meaningful tasks, endpoints, and baselines with modeling and evaluation teams.
Investigate model predictions and failure modes using available biological evidence.
Collaborate with wet-lab partners to formulate hypotheses, prioritize validation experiments, and generate training datasets.
Requirements
Exceptional research record in computational biology, bioinformatics, genomics, or another relevant biology area, demonstrated through a PhD or equivalent research or industry experience.
Deep expertise in at least one biological domain, with strong scientific judgment and careful attention to data quality and experimental details.
Strong Python or R programming skills and experience building reliable, reproducible scientific analyses or software.
Ability to work across biology, machine learning, and engineering, and clearly communicate assumptions, results, and limitations.
Experience working with agentic coding tools.
Must be authorized to work in the United States; employment authorization is verified through E-Verify.
Nice to have
Experience with large-scale biological data curation, data mixing, or bioinformatics infrastructure.
Experience with biological foundation models or research contributions, datasets, methods, or software used by other scientists.
Culture & Benefits
Full-time role within the Technical Staff department.
Equal employment opportunity practices apply across protected characteristics.
Work focuses on developing both the capabilities of biological design and responsible defenses against engineered threats.
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