Postdoctoral Fellow

Jobtailor; California (MO); On-site; USD 120,000 - 170,000; Full time

Job summary

Tempus is seeking a PhD-level scientist to advance clinical and genomic cancer research. You will apply computational methods to real-world patient data across genomic, transcriptomic, histopathological, and clinical domains to improve understanding of cancers and precision medicine outcomes.

You will develop independent research projects in genomic-guided medicine and collaborate with clinicians, molecular biologists, and data scientists across Tempus.

Qualifications

• PhD in Computational Biology or MD/PhD with translational cancer research experience.
• Proven record of first-author or co-first author papers in top journals.
• Ability to design and execute studies bridging molecular and clinical cancer data.
• Excellent communication and organizational skills.
• Proficiency in R or Python or willingness to acquire analytics skills linked to clinical data.

Responsibilities

• Conduct cutting-edge clinical and genomic cancer research.
• Apply computational methods to real-world patient data including genomic and clinical data.
• Improve understanding of target cancers and advance precision medicine.
• Develop independent research projects in genomic-guided medicine.
• Collaborate with clinicians, molecular biologists, data scientists, and departments across Tempus.

Skills

Computational Methods

Genomic Data Analysis

Transcriptomic Data Analysis

Histopathological Data Analysis

Clinical Data Analysis

Independent Research Project

Innovative Scientific Accomplishments

Molecular Data Integration

Data Analysis Techniques

Analytical Programming

Education

PhD in Computational Biology

MD or PhD with translational cancer research experience

Tools

R Programming

Python Programming

Job description

• Conduct cutting-edge clinical and genomic cancer research
• Apply computational methods to real-world patient data, including genomic, transcriptomic, histopathological, and/or clinical data
• Improve understanding of target cancers and advance precision medicine to improve patient outcomes
• Develop independent research projects in genomic-guided medicine
• Collaborate with clinicians, molecular biologists, data scientists, and departments across Tempus
• Use access to de-identified samples, organoid repositories, genomic and pharmacological screening data, and computational resources

Requirements

• PhD in Computational Biology, Bioinformatics or related field OR PhD and/or MD with extensive experience in clinical & translational cancer research
• Demonstrated record of innovative scientific accomplishments, evidenced by at least one first-author or co-first author key paper in a top journal
• Demonstrated ability to design and execute studies bridging molecular and clinical cancer data
• Excellent communication and organizational skills
• Proficient in R, Python or other analytical programming language OR desire to acquire analytical skills and link with clinical/translational domain knowledge

Core Competencies

Expertise in conducting clinical and genomic cancer research, with a strong focus on applying computational methods to enhance precision medicine and patient outcomes. Proficient in designing and executing studies that integrate molecular and clinical cancer data.

Highest-signal resume keywords

• PhD In Computational Biology
• Clinical & Translational Cancer Research
• R Programming
• Python Programming
• Study Design & Execution

Hard Skills

• Computational Methods
• Genomic Data Analysis
• Transcriptomic Data Analysis
• Histopathological Data Analysis
• Clinical Data Analysis
• Independent Research Project Development
• Innovative Scientific Accomplishments
• Molecular Data Integration
• Data Analysis Techniques
• Analytical Programming

Soft Skills

• Excellent Communication Skills
• Organizational Skills

Industry Keywords

• Precision Medicine
• Cancer Research
• Genomic-Guided Medicine
• Clinical Collaboration
• Data Science Collaboration

Tools & Technologies

• Computational Resources
• Organoid Repositories
• Genomic Screening Data
• Pharmacological Screening Data