Data Contributor Jobs at Tempus AI with Visa Sponsorship
Data Contributor roles at Tempus AI sit at the intersection of clinical data and AI-driven oncology research, requiring precision with healthcare datasets and familiarity with structured medical records. Tempus AI actively sponsors work visas for this function, making it a realistic target for international candidates with the right technical profile.
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Get Access To All JobsINTRODUCTION
Passionate about precision medicine and advancing the healthcare industry? Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.
ROLE OVERVIEW
We are seeking a Data Architect to design the structural backbone of a high-scale, multi-modal healthcare data ecosystem. You will be responsible for architecting data environments that serve massive networks of hospitals, ensuring that diverse data types—ranging from structured EHR records to unstructured genomic and imaging data—are seamlessly accessible to autonomous AI agents.
Our goal is to move beyond static data warehousing to create a dynamic, "agent-ready" data fabric that supports real-time clinical evaluation at an enterprise scale.
What You’ll Do
- Multi-Modal Architecture: Lead the design and management of an enterprise data model that integrates complex domains including clinical EHR records, high-throughput genomics (NGS), and cardiovascular imaging (Echo, Cath, ECG).
- Scale for Hospital Networks: Architect data solutions designed to scale across federated networks of hospitals, ensuring multi-tenancy, high availability, and performance across hybrid cloud environments.
- Enable Agentic Workflows: Design data access patterns and metadata layers specifically optimized for AI agents, allowing them to autonomously discover, query, and reason over structured and unstructured datasets.
- Schema & API Ownership: Author and maintain entity-relationship diagrams (ERDs), data dictionaries, and API specifications across multiple technologies (Relational, NoSQL, Vector Databases).
- Data Quality & Traceability: Implement automated solutions to monitor data quality and lineage with strict traceability back to source systems, ensuring "ground truth" for agentic evaluations.
- Technical Advocacy: Educate engineering and clinical teams on data modeling standards, governance, and best practices for maintaining data integrity in a HIPAA-regulated environment.
EXPERIENCE & QUALIFICATIONS
- Education: Bachelor’s Degree in Computer Science, Health Informatics, or a related field.
- Professional Experience: 7+ years in data architecture or enterprise modeling, with significant experience in the healthcare or life sciences domain.
- Modeling Mastery: Expert-level knowledge of 3NF, Dimensional (Star Schema), and Data Vault 2.0 modeling techniques.
- Advanced SQL & Python: Exceptional SQL skills for complex analytical environments and proficiency in Python for data profiling and debugging.
- Technology Strategy: Ability to articulate the trade-offs between RDBMS, MPP, and NoSQL technologies, and experience implementing Master Data Management (MDM) solutions.
- Interoperability Standards: Deep familiarity with HL7, FHIR, and Epic/Cerner data structures.
- Tools: Proficiency with modeling tools such as Erwin, Vertabelo, or Lucidchart.
BONUS POINTS
- AI Data Engineering: Experience with Vector databases (e.g., Pinecone, Weaviate, or pgvector) or Graph databases to support RAG and agentic memory.
- Cloud Architecture: Hands-on experience with GCP (BigQuery, Vertex AI) or AWS healthcare-native services.
- Specialized Clinical Data: Direct experience working with EHR, OMOP, DICOM, genomic data models, or longitudinal patient records.
COMPENSATION
- Chi: $140,000-$190,000
- NYC/SF: $150,000-$200,000
The expected salary range above is applicable if the role is performed from California and may vary for other locations (Colorado, Illinois, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position.
Additionally, for remote roles open to individuals in unincorporated Los Angeles – including remote roles- Tempus reasonably believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: engaging positively with customers and other employees; accessing confidential information, including intellectual property, trade secrets, and protected health information; and appropriately handling such information in accordance with legal and ethical standards. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
INTRODUCTION
Passionate about precision medicine and advancing the healthcare industry? Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.
ROLE OVERVIEW
We are seeking a Data Architect to design the structural backbone of a high-scale, multi-modal healthcare data ecosystem. You will be responsible for architecting data environments that serve massive networks of hospitals, ensuring that diverse data types—ranging from structured EHR records to unstructured genomic and imaging data—are seamlessly accessible to autonomous AI agents.
Our goal is to move beyond static data warehousing to create a dynamic, "agent-ready" data fabric that supports real-time clinical evaluation at an enterprise scale.
What You’ll Do
- Multi-Modal Architecture: Lead the design and management of an enterprise data model that integrates complex domains including clinical EHR records, high-throughput genomics (NGS), and cardiovascular imaging (Echo, Cath, ECG).
- Scale for Hospital Networks: Architect data solutions designed to scale across federated networks of hospitals, ensuring multi-tenancy, high availability, and performance across hybrid cloud environments.
- Enable Agentic Workflows: Design data access patterns and metadata layers specifically optimized for AI agents, allowing them to autonomously discover, query, and reason over structured and unstructured datasets.
- Schema & API Ownership: Author and maintain entity-relationship diagrams (ERDs), data dictionaries, and API specifications across multiple technologies (Relational, NoSQL, Vector Databases).
- Data Quality & Traceability: Implement automated solutions to monitor data quality and lineage with strict traceability back to source systems, ensuring "ground truth" for agentic evaluations.
- Technical Advocacy: Educate engineering and clinical teams on data modeling standards, governance, and best practices for maintaining data integrity in a HIPAA-regulated environment.
EXPERIENCE & QUALIFICATIONS
- Education: Bachelor’s Degree in Computer Science, Health Informatics, or a related field.
- Professional Experience: 7+ years in data architecture or enterprise modeling, with significant experience in the healthcare or life sciences domain.
- Modeling Mastery: Expert-level knowledge of 3NF, Dimensional (Star Schema), and Data Vault 2.0 modeling techniques.
- Advanced SQL & Python: Exceptional SQL skills for complex analytical environments and proficiency in Python for data profiling and debugging.
- Technology Strategy: Ability to articulate the trade-offs between RDBMS, MPP, and NoSQL technologies, and experience implementing Master Data Management (MDM) solutions.
- Interoperability Standards: Deep familiarity with HL7, FHIR, and Epic/Cerner data structures.
- Tools: Proficiency with modeling tools such as Erwin, Vertabelo, or Lucidchart.
BONUS POINTS
- AI Data Engineering: Experience with Vector databases (e.g., Pinecone, Weaviate, or pgvector) or Graph databases to support RAG and agentic memory.
- Cloud Architecture: Hands-on experience with GCP (BigQuery, Vertex AI) or AWS healthcare-native services.
- Specialized Clinical Data: Direct experience working with EHR, OMOP, DICOM, genomic data models, or longitudinal patient records.
COMPENSATION
- Chi: $140,000-$190,000
- NYC/SF: $150,000-$200,000
The expected salary range above is applicable if the role is performed from California and may vary for other locations (Colorado, Illinois, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position.
Additionally, for remote roles open to individuals in unincorporated Los Angeles – including remote roles- Tempus reasonably believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: engaging positively with customers and other employees; accessing confidential information, including intellectual property, trade secrets, and protected health information; and appropriately handling such information in accordance with legal and ethical standards. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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Get Access To All JobsTips for Finding Data Contributor Jobs at Tempus AI Jobs
Align your credentials to clinical data standards
Tempus AI works with genomic and clinical datasets under strict healthcare compliance frameworks. Before applying, document your experience with EHR data, HL7 or FHIR standards, or oncology data pipelines so your resume maps directly to their Data Contributor requirements.
Target open roles before OPT expires
F-1 OPT gives you a limited window to secure an offer and begin the sponsorship process. Applying to Tempus AI Data Contributor openings at least four months before your OPT end date gives enough runway for offer negotiation and H-1B cap-subject filing preparation.
Verify your role qualifies as a specialty occupation
USCIS requires H-1B positions to qualify as specialty occupations. For a Data Contributor role, your offer letter should explicitly tie the position to a specific degree field, such as bioinformatics, health informatics, or computer science, not a general data or analyst title.
Ask about internal PERM sponsorship timelines early
Biotechnology employers like Tempus AI often sponsor Green Cards through the PERM labor certification process, which can take two or more years. Raising this in the offer stage, not after onboarding, lets you understand whether an EB-2 or EB-3 pathway is part of the package.
Use Migrate Mate to filter open Data Contributor roles
Sponsorship willingness varies by role and hiring cycle. Use Migrate Mate to filter Tempus AI's current Data Contributor openings by visa type so you only spend time on positions where sponsorship for your specific status is already confirmed.
Confirm E-Verify enrollment before accepting an offer
TN and OPT STEM extension employment both require the employer to be E-Verify enrolled. Confirm Tempus AI's enrollment status through the E-Verify employer search tool before signing, since enrollment is mandatory for your work authorization to remain valid from day one.
Data Contributor at Tempus AI jobs are hiring across the US. Find yours.
Find Data Contributor at Tempus AI JobsFrequently Asked Questions
Does Tempus AI sponsor H-1B visas for Data Contributors?
Yes, Tempus AI sponsors H-1B visas for Data Contributor roles. The position typically qualifies as a specialty occupation when the job description requires a degree in a specific technical or scientific field such as bioinformatics, health informatics, or computer science. Your offer letter should clearly reflect that requirement to support the H-1B petition filed with USCIS.
Which visa types does Tempus AI commonly sponsor for Data Contributor roles?
Tempus AI sponsors multiple visa categories for Data Contributors, including H-1B, F-1 OPT, F-1 CPT, TN, and employment-based Green Cards through the EB-2 and EB-3 classifications. F-1 candidates in bioinformatics, computer science, or related STEM fields are eligible for the 24-month OPT STEM extension, which can bridge the gap to H-1B sponsorship.
How do I apply for Data Contributor jobs at Tempus AI?
You can browse current Data Contributor openings at Tempus AI through Migrate Mate, which filters roles by visa sponsorship type so you can confirm your visa category is supported before applying. When you apply, tailor your materials to Tempus AI's clinical data environment, specifically highlighting experience with structured medical records, genomic datasets, or healthcare compliance standards relevant to their oncology research platform.
What qualifications does Tempus AI expect for Data Contributor positions?
Tempus AI's Data Contributor roles typically require a background in bioinformatics, health informatics, data science, or a related field, along with hands-on experience processing and annotating clinical or genomic data. Familiarity with data quality frameworks, medical coding standards such as ICD or CPT codes, and tools used in oncology data pipelines strengthens an application significantly over a general data background.
How do I time my H-1B filing as a Data Contributor at Tempus AI?
The H-1B cap-subject registration window opens in March each year, with an October 1 start date for approved petitions. If you're on F-1 OPT, you need your offer confirmed well before March so Tempus AI's legal team can prepare your I-129 petition. Missing the registration window means waiting a full year, so starting conversations with the recruiting team in January or February is the practical approach.
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