Data Scientist at University of Pittsburgh
About the role
This position's responsibilities include analysis and interpretation of genomics data such as bulk RNA seq, Single cell seq and spatial transcriptomics. Skills required include R, Python, UNIX, high throughput computing, and excellent verbal and written communication. Experience using ML and AI methodologies is plus.
Interview process at University of Pittsburgh
General interview process (this company's specific loop isn't published - reach out if you have insider info).
- Recruiter phone screen - typically 20-40 min
- Technical screen - 1 coding problem or take-home; format varies by company
- Onsite / virtual loop - typically 4-6 rounds over 2-3 weeks; exact split of coding, systems design, and behavioral varies by role and location
MiPrep compatibility: MiPrep is compatible with the major technical-interview platforms (HireVue, Karat, CodeSignal, HackerRank, CoderPad). Practice against whichever your University of Pittsburgh interview uses.
Platforms used: unknown — MiPrep tested compatible with major platforms
How to prepare
MiPrep helps you rehearse the specific cadence and question types University of Pittsburgh interviewers score on. Upload your resume and this job description; MiPrep generates a rehearsed answer set in your voice from your own projects.