Single-Cell Genomics - Fully Remote | Upto $100/hr - #190463
Mercor
Date: 3 weeks ago
City: London
Contract type: Part time
Remote
About The Job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: STEM Computational Scientific Software & Evaluation Design - Bioinformatics & Single-Cell Genomics
Type: Contract
Compensation: $70–$100/hour
Location: Remote
Commitment: 15–20 hours/week
Role Responsibilities
Must-Have
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: STEM Computational Scientific Software & Evaluation Design - Bioinformatics & Single-Cell Genomics
Type: Contract
Compensation: $70–$100/hour
Location: Remote
Commitment: 15–20 hours/week
Role Responsibilities
- Design graduate-level computational problems using domain-specific scientific software libraries like scanpy, scvelo, squidpy, and gudhi.
- Evaluate AI models by creating tasks that require strategic reasoning and interpretation of partial observations.
- Refine problem designs through a calibration loop with state-of-the-art AI models to achieve target difficulty.
- Develop problems for single-cell RNA-seq analysis, trajectory inference, and spatial transcriptomics.
- Work independently and asynchronously to iterate on problem designs based on feedback.
- Collaborate with AI research teams to enhance problem-solving strategies and model performance.
Must-Have
- Graduate-level training in a relevant STEM domain (MS, PhD, or equivalent research experience).
- Proficiency with scientific software libraries like scanpy, scvelo, squidpy, and gudhi.
- Strong Python programming skills.
- Ability to work in a Linux/terminal environment with remote compute sandboxes.
- Available for at least 15–20 hours per week.
- Experience across multiple domains or tools.
- Familiarity with benchmark or evaluation design.
- Background in scientific pedagogy or exam/problem-set design.
- Experience with computational reproducibility and containerized environments.
- Upload resume
- AI interview based on your resume
- Submit form
- For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
- For any help or support, reach out to: [email protected]
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