Bioinformatics Scientist - Solid Tumor
@ Tempus AI

Hybrid
$150,000
Hybrid
Full Time
Posted 1 day ago

Your Application Journey

Personalized Resume
Apply
Email Hiring Manager
Interview

Email Hiring Manager

XXXXXXXXX XXXXXXXXXXXXX XXXXXX****** @tempusai.com
Recommended after applying

Job Details

About the Role

Tempus AI is dedicated to advancing precision medicine by leveraging AI to deliver actionable insights. The Bioinformatics Scientist - Solid Tumor role is focused on translational cancer research and clinical genomics.

Key Responsibilities

  • Develop and optimize algorithms to analyze next generation sequencing data.
  • Design and conduct analyses to improve variant calling and data modeling.
  • Validate oncology assays against orthogonal methods.
  • Collaborate with scientists and clinicians on cancer sequencing data.
  • Produce high quality, detailed documentation for all projects.

Preferred Qualifications

  • Ph.D. in Bioinformatics, Computational Biology, or Genomics or 2+ years relevant experience.
  • Proficiency in Python and scientific programming.
  • Experience processing and analyzing DNA and next generation sequencing data.

Ideal Candidate Attributes

  • Experience in cancer genomics and predictive algorithm development.
  • Familiarity with workflow languages such as CWL/WDL.
  • Experience with cloud systems including AWS, Azure, and GCP.
  • Self-driven and collaborative team player with excellent communication skills.

Key skills/competency

  • Bioinformatics
  • Genomics
  • Cancer
  • Algorithms
  • Data Analysis
  • Next Generation Sequencing
  • Python
  • Cloud
  • CWL
  • Documentation

How to Get Hired at Tempus AI

🎯 Tips for Getting Hired

  • Customize your resume: Highlight bioinformatics and cancer genomics skills.
  • Research Tempus AI: Understand their precision medicine approach.
  • Detail technical achievements: Emphasize algorithm development and Python.
  • Prepare for case studies: Be ready to discuss clinical genomics projects.

📝 Interview Preparation Advice

Technical Preparation

Review Python scripting best practices.
Practice algorithm optimization techniques.
Study next generation sequencing data.
Familiarize with cloud platforms like AWS.

Behavioral Questions

Describe a team project challenge overcome.
Explain a technical failure and lessons learned.
Discuss communicating complex data to non-experts.
Share experience working in interdisciplinary teams.

Frequently Asked Questions