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 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.
Who You Are
Minimum Qualifications
- 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.
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.
What We Want You To Know
We are a culture of collaboration and scientific freedom, and we believe in the values of diversity, inclusion and belonging to inspire innovation.
Altos Labs provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
Altos currently requires all employees to be fully vaccinated against COVID-19, subject to legally required exemptions (e.g., due to a medical condition or sincerely-held religious belief).
Thank you for your interest in Altos Labs where we strive for a culture of scientific freedom, learning, and belonging.
Note: Altos Labs will not ask you to download a messaging app for an interview or outlay your own money to get started as an employee. If this sounds like your interaction with people claiming to be with Altos, it is not legitimate and has nothing to do with Altos. Learn more about a common job scam at https://www.linkedin.com/pulse/how-spot-avoid-online-job-scams-biron-clark/
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