The Altos Labs Scientific Computing & Data group consists of software, data, and machine learning engineers implementing scalable data engineering solutions enabling Altos Labs' scientific mission. We are currently hiring a Senior Staff Data Engineer (curation) to lead the data curation and operations team. This role will be responsible for designing ontologies and information models capturing multimodal genomics, imaging, mass spectrometry, and clinical data generating unique insights on cell rejuvenation and health. This pivotal role involves leading the operational management and integration of multimodal data sources to support Altos Labs' pioneering scientific mission in cell rejuvenation and health.

Responsibilities

• Lead the scientific data curation and quality control of internal and externally generated data at Altos Labs.
• Lead a centralized platform for managing requests related to data ingestion, curation, and wrangling. This includes the adoption or implementation of technologies and processes including from SDKs to LLMs to optimize data ingestion.
• Lead the design and operational management of ontologies and information models to capture and integrate multimodal genomics, imaging, mass spectrometry, and clinical data.
• Work with teams to drive the standardization and harmonization of scientific datasets across Altos Labs, utilizing established ontologies and controlled vocabularies to ensure consistency and facilitate data sharing.
• Collaborate with data generation hubs, CROs and internal labs to ingest multi-modal datasets into Altos data platform.
• Engage with research teams to understand data access & analysis patterns and help design appropriate tools and frameworks to address those needs.
• Manage the strategy and execution of semantic data operations across various modalities, ensuring robust data quality and accessibility to fuel AI/ML research initiatives.
• Work closely with researchers across Altos Science & Medical Institutes, ensuring that data operations align with scientific objectives and support accelerated research outcomes through effective semantic data integration and inference.

• PhD in Computer Science, Bioinformatics, or a related field, with a strong emphasis on data and knowledge modeling.
• Minimum of 10 years of experience in an academic or industrial setting, managing, or analyzing research datasets in genomics, imaging, and related fields.
• Experience in knowledge graph development, ontology management, and programming in languages such as Python or R.
• Proven track record in leading data operations from concept through implementation, including the ability to manage large-scale data integration projects.
• Strong familiarity with biological data analysis methods and experience collaborating with biologists or bioinformaticians.
• Experience with biomedical large language models is advantageous.
• Demonstrated ability to work effectively in cross-functional and geographically dispersed teams.

The salary range for Redwood City, CA:

• Senior Staff Data Engineer: $237,150 - $320,850

The salary range for San Diego, CA:

• Senior Staff Data Engineer: $222,700 - $301,300

Exact compensation may vary based on skills, experience, and location.

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