Senior Software Engineer - Data Platform

Our Mission

Our mission is to restore cell health and resilience through cell rejuvenation to reverse disease, injury, and the disabilities that can occur throughout life.

For more information, see our website at altoslabs.com.

Our Value

Our Single Altos Value: Everyone Owns Achieving Our Inspiring Mission.

Diversity at Altos

We believe that diverse perspectives are foundational to scientific innovation and inquiry. 

We are building a company where exceptional scientists and industry leaders from around the world work side by side to advance a shared mission. 

Our intentional focus is on Belonging, so that all employees know that they are valued for their unique perspectives. 

At Altos, we are all accountable for sustaining a diverse and inclusive environment.

What You Will Contribute To Altos

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 Software Engineer – Data Platform to be a key member of the data engineering and operations team. This role will be responsible for designing and implementing APIs as part of a broader data strategy, integrating multimodal genomics, imaging, mass spectrometry, and clinical data to generate unique insights on cell rejuvenation and health. This pivotal role involves the operational management and integration of multimodal data sources to support Altos Labs' pioneering scientific mission in cell rejuvenation and health.

Responsibilities

• Develop and implement APIs to support data integration and access across Altos Labs.
• Collaborate with a centralized team and platform for managing requests related to data ingestion, integration, and engineering. This includes adopting or implementing technologies and processes from SDKs to LLMs to optimize data ingestion.
• Design and manage 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 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.

Who You Are

Minimum Qualifications

• Bachelor’s degree in Computer Science, Bioinformatics, or a related field, with a strong emphasis on data and knowledge modeling.
• Minimum of 5 years of experience in an academic or industrial setting, managing, or analyzing research datasets in genomics, imaging, and related fields.
• Experience in API design and implementation, knowledge graph development, ontology management, and programming in languages such as Python or R.
• 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.

Preferred Qualifications

• Master’s or Ph.D. in Computer Science, Bioinformatics, or a related field, with a strong emphasis on data and knowledge modeling.
• 5-10 years of experience in an academic or industrial setting, managing, or analyzing research datasets in genomics, imaging, and related fields.

 

The salary range for Redwood City, CA:

• Senior Software Engineer : $181,050 - $244,950

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

 

For UK applicants, before submitting your application:

- Please click here to read the Altos Labs EU and UK Applicant Privacy Notice (bit.ly/eu_uk_privacy_notice)
- This Privacy Notice is not a contract, express or implied and it does not set terms or conditions of employment.

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What We Want You To Know

We are a culture of collaboration and scientific excellence, and we believe in the values of inclusion and belonging to inspire innovation.

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