Genomic Diagnostics Product Manager

Tempus AI; California; On-site; USD 85,000 - 115,000; Full time

Job summary

Tempus AI is seeking a Technical Product Manager to lead the integration engineering software lifecycle for genomic data tools. You will define system requirements for clinical genetics software, oversee SDLC from discovery to validation, and communicate technical requirements to stakeholders.

The role requires bridging clinical genetics, bioinformatics pipelines, and software engineering to empower variant interpretation and final report generation.

Qualifications

• Bachelor degree in CS/biomedical sciences or related field.
• Advanced degree preferred.
• Experience with SDLC and agile methodologies.
• Proven ability to document use cases and gather requirements.

Responsibilities

• Write clear user stories to document functional and technical requirements with stakeholders and product managers.
• Collect, synthesize, and document artifacts to clearly communicate software specifications within teams.
• Research and solve software issues by partnering with stakeholders and technical team.
• Report project status updates to PMO, product managers and lead TPM.
• Collaborate with technical leads and SMEs to align solutions with business logic and feasibility.
• Coordinate with other TPMs to identify upstream/downstream impacts for a project.
• Work with QA to test and validate features against requirements and assist end-user validation.
• Coordinate change control protocols for production deployments.

Skills

Strong communication

SDLC knowledge

AGILE & SCRUM

Use case documentation

Requirements gathering

3+ years software analysis

3+ years TPM/PO in genetics

Education

Bachelor's degree in Computer Science, Biomedical Sciences, Molecular Biology, Genetics, or related specialization

Advanced degree

Tools

JIRA

Job description

Tempus AI is seeking a Technical Product Manager to lead the integration engineering software lifecycle for genomic data tools. You will define system requirements for clinical genetics software, oversee SDLC from discovery to validation, and communicate technical requirements to stakeholders.

The role requires bridging clinical genetics, bioinformatics pipelines, and software engineering to empower variant interpretation and final report generation.