aipythonsqldata engineeringetlllmragbiotechmcpagentic ai
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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$106к-177к/год
$170к$210кмедиана$240к
По похожим ролям (50) ~ $210к/год
На СНГ рынке: $4.2к/мес ($3.6к - $5к)
80
Крутая вакансия
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В Company hidden чётко очерченная роль на стыке агентного ИИ и биотерапевтики, с заметной работой над платформой данных и научным сотрудничеством; требование постоянного разрешения на работу в США и гибридный формат в Кембридже ограничивают доступность вакансии.
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Современный стек
ИИ в биотехе
Понятные задачи
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Informatics and AI Engineer (Biotherapeutics) (AI/data engineering for drug discovery): Building AI-ready data platforms, data products, and analysis pipelines for biologics research with an accent on agentic AI, data integration, and large-molecule therapeutics. Focus on developing LLM, MCP/RAG, Python, SQL, ETL, and data governance solutions that generate testable hypotheses across the drug discovery value chain.
Location: Cambridge, Massachusetts, United States; hybrid role requiring residence within commuting distance and on-site work an average of 2.5 days per week or more as needed
Annual base salary: $106,000–$176,600. Eligible for a 15% bonus target and share-based long-term incentive program.
Company
hirify.global develops medicines and biotherapeutics intended to deliver breakthroughs that change patients’ lives.
What you will do
Develop and scale a modern data platform for efficient, scalable correlation and analysis of biologic drug modality data.
Build data products, machine learning methods, and analysis pipelines using agentic AI.
Curate and integrate public-domain datasets and deploy data products through data integration.
Implement, test, and validate data analysis and visualization methods.
Improve biologics data capture, metadata tagging, governance, validation, and storage strategies with the Digital organization.
Collaborate with external companies and academic institutions; support workshops, hackathons, training, scientific talks, publications, and conference presentations.
Requirements
PhD in biology, chemistry, physics, statistics, or a related technical discipline, or a master’s degree plus 2+ years of experience building AI-powered research applications.
Strong background in data handling, integration, and analysis, with experience developing data products and data integration solutions.
Thorough understanding of drug discovery and biology, particularly large-molecule therapeutics such as peptides and antibodies.
Experience solving complex analyses and problems in a timely manner and innovating at the intersection of data science, agentic AI, and life sciences.
Experience with LLMs, agentic AI, and MCP/RAG systems.
Exceptional Python programming skills.
Experience with data governance rules and data validation.
Strong full-stack development experience focused on Python and SQL, including in-depth database expertise, ETL frameworks, and data warehouse technologies.
Strong verbal, written, and presentation communication skills, including communication with scientists from diverse areas of expertise.
Permanent work authorization in the United States is required.
Nice to have
Front-end technologies and browser-based visualization techniques.
Linux systems, containerization technologies, and HPC environments.
Python scientific-stack libraries and experience handling, processing, integrating, and analyzing large heterogeneous datasets in a drug discovery research environment.
Claude Code or equivalent, agentic coding paradigms, and experience taking prototypes to production.
Ability to communicate complex technical work through publications, presentations, or detailed documentation.
Culture & Benefits
Cross-functional collaboration with hirify.global’s Data Ecosystem, Machine Learning, Digital, and scientific organizations.
Comprehensive benefits including a 401(k) with matching contributions, retirement savings contributions, health coverage, paid vacation, holidays, and personal days.
Paid caregiver, parental, and medical leave.
Relocation assistance may be available based on business needs and eligibility.
Employment conditions and benefits are aligned with the location of hire.
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