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2 дня назад

Informatics and AI Engineer (Biotherapeutics)

106 000 - 176 600$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
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
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.
  • Software engineering, package development, cloud architectures, CI/CD, and software engineering tooling.
  • Nextflow pipeline development.
  • 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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