4 дня назад
Informatics and AI Engineer (Biotherapeutics)
106 000 - 176 600$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Informatics and AI Engineer (Biotherapeutics) (Python/SQL/LLMs): Building AI-ready data platforms, data products, and analysis pipelines for biologic drug discovery with an accent on data integration, agentic AI, and large-molecule therapeutics. Focus on designing full-stack research applications, validating complex biological analyses, and deploying scalable data products 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.
Salary: $106,000–$176,600 annual base salary, plus a 15% bonus target and eligibility for a share-based long-term incentive program.
Company
develops medicines and research technologies intended to deliver breakthroughs that change patients’ lives.
What you will do
- Build, support, and scale a modern data platform for correlation and analysis of biologic drug modality data.
- Develop data products, machine learning methods, and analysis pipelines using agentic AI.
- Curate and integrate public-domain datasets with proprietary research data.
- Implement, test, and validate data analysis and visualization methods.
- Improve data capture, metadata tagging, governance, validation, and storage strategies with the Digital organization.
- Collaborate with external companies and academic institutions, and support platform onboarding through workshops, hackathons, training, and scientific talks.
Requirements
- PhD in biology, chemistry, physics, statistics, or a related technical discipline, or a master’s degree with at least 2 years of experience building AI-powered research applications.
- Strong data handling, integration, analysis, governance, and validation experience.
- Thorough understanding of drug discovery and biology, especially large-molecule therapeutics such as peptides and antibodies.
- Experience with LLMs, agentic AI, MCP/RAG systems, Python, SQL, databases, ETL frameworks, and data warehouses.
- Strong full-stack development skills and the ability to communicate technical work to scientists with diverse expertise.
- Permanent U.S. work authorization is required; U.S. work visa sponsorship is not available now or in the future.
Nice to have
- Front-end technologies, browser-based visualization, Python scientific libraries, and Nextflow.
- Software engineering, package development, cloud architecture, CI/CD, Linux, containerization, and HPC experience.
- Experience with Claude Code or equivalent agentic coding paradigms.
- Experience taking research ideas from prototype to production and communicating results through publications, presentations, or documentation.
Culture & Benefits
- Cross-functional collaboration across data, machine learning, biology, Digital, academic, and external research groups.
- Opportunities to publish and present work in reputed journals and conferences and engage with the scientific community.
- 401(k) plan with matching contributions and an additional retirement savings contribution.
- Paid vacation, holidays, personal days, caregiver/parental leave, and medical leave.
- Medical, prescription drug, dental, and vision coverage.
Hiring process
- The last date to apply is September 3, 2026.
- Recruiting-related accessibility accommodations are available upon request.
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