Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Очень мало
$170к-210к/год
$200к$230кмедиана$290к
По похожим ролям (50) ~ $230к/год
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Вакансия сочетает востребованные AI-направления с понятной зоной ответственности, но зарплата ниже ориентира для сопоставимых ролей в США, что снижает привлекательность предложения.
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Associate Director, Data Analysis Solutions (AI) (Multi-Omics/Oncology): Building deployable oncology and immunology solutions for the BG Foundation Model initiative by integrating multi-omics data and ML/AI into BostonGene’s platform with an accent on scientific translation, end-to-end architecture, and hands-on data analysis. Focus on evaluating biology foundation models, designing production-ready analytical systems, and leading cross-functional delivery across research, engineering, product, and biopharma partnerships.
Location: USA; hybrid work
Salary: $170,000–$210,000 per year
Company
hirify.global develops computational solutions for oncology, immunology, multi-omics analysis, and precision medicine.
What you will do
Own the technical architecture and delivery of cross-functional initiatives from concept through production.
Architect end-to-end solutions integrating multi-omics data and ML/AI into the company platform.
Translate immuno-oncology biology into technical requirements and system designs.
Review data and analytical outputs, perform analyses, prepare reports, and present findings to technical and non-technical stakeholders.
Evaluate emerging methods, including biology foundation models, and provide scientific and technical direction.
Act as the interface between science and technology for internal teams and biopharma partners.
Requirements
PhD in computational biology, bioinformatics, immunology, genomics, or a related field.
At least 3 years of hands-on data science experience after completing the PhD.
Hands-on experience with bulk or single-cell RNA-seq, spatial transcriptomics or imaging, or digital pathology.
Working knowledge of oncology and immunology, plus proficiency in Python’s scientific environment and core bioinformatics tools.
Experience with AI-assisted development workflows and agentic coding tools, including Claude Code.
Evidence of end-to-end technology project ownership, peer-reviewed publications, and cross-functional leadership.
Nice to have
Experience with biology foundation models in genomics, transcriptomics, or pathology.
Experience deploying models or analyses into production.
Experience with multimodal data harmonization and benchmarking.
Experience working with pharmaceutical or biotechnology partners in translational research, biomarker development, clinical development, or precision medicine.
Culture & Benefits
Hands-on scientific and technical leadership rather than a purely advisory architecture role.
Collaboration across research, engineering, product, and biopharma partner teams.
Opportunity to work on oncology and immunology applications within a foundation model initiative.
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