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About the Role
Tempus is building a data science platform called Lens to help researchers answer questions in precision medicine using multi-modal clinical, imaging, and molecular data. This platform integrates real-world data and advanced algorithms into a cloud-based SaaS solution, transforming hypothesis generation and testing into a streamlined process.
Responsibilities
- Build and launch collaborations with academic and foundation partners, providing them with direct access to Tempus’ data and tools.
- Drive adoption and scalability for a new customer enablement strategy.
- Guide customers in using the Lens platform to apply data science techniques to cancer datasets.
- Engage with customers throughout their time working with Lens, including training, onboarding, data filtering, and use case design/implementation.
- Work closely with Data Science, Operations, and Medical Science teams to deliver datasets to customers.
- Design potential retrospective studies with investigators and their teams.
- Provide trusted technical advice to executives from academic and regional health systems.
- Ensure customers use the latest standards and practices for Tempus data and tooling.
- Put data science workflows into production.
- Engage in external outreach or education, such as consulting, giving talks, teaching, or open source contributions.
Requirements
- Advanced degree (Masters or PhD) in bioinformatics, computational biology, statistics, computer science, or related field, or 3+ years experience working with genomic and clinical data.
- Experience working with statistical modeling, data mining and/or machine learning methods.
- Proficiency in R, python and/or other programming languages.
- Experience with software development and the AWS or GCP technical stack.
- Experience with engineering practices for research computing (Docker, Git, Github, code review, Linux, cloud computing, etc).
- Strong project management and post-sales skills: understanding and qualifying customer requirements, supporting customers in making progress against a roadmap, aligning scientific results with business outcomes.
- Demonstrated ability to communicate technical concepts to non-technical stakeholders.
- Familiarity with standard bioinformatics pipelines.
- Familiarity with the academic research landscape in oncology.
- Experience with SQL or other query languages.
Skills
- Oncology
- Real-world data
- Genomics
- Cloud computing technologies
- Machine learning
- Statistical models
- R
- Python
- Software development
- AWS
- GCP
- Docker
- Git
- Github
- Code review
- Linux
- Project management
- Post-sales skills
- SQL
Location
- California
- Colorado
- Illinois
- New York
- Los Angeles
Work Type
- Remote
Experience Level
- 3+ years experience working with genomic and clinical data
Education Level
- Masters
- PhD
Salary/Compensations
- $100,000 - $130,000
Benefits
- Incentive compensation
- Restricted stock units
- Medical and other benefits depending on the position
About the Company
- Tempus uses a proprietary platform to connect real-world evidence, delivering actionable insights to physicians for personalized treatment decisions.
- The company's mission is to redefine how genomic and clinical data are used for evidence-based medicine.
- Advancing the healthcare industry through precision medicine.
Equal Opportunity
- 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.
- 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.