Genomics Researcher - Fully Remote | Upto $100/hr
Budget / Salary$70–100
TypeContract
LocationUnited States
Posted2 hours ago
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: Bioinformatics & Computational Single-Cell Genomics Expert
Type:Contract
Compensation:$70–$100/hour
Location:Remote
Commitment:15–20 hours/week
Role Responsibilities
Design challenging computational problems to test AI systems using real scientific software.
Create problems requiring skilled use of specialized software like scanpy, scvelo, squidpy, and gudhi.
Evaluate and refine problems through testing loops against state-of-the-art AI models.
Develop problems that require strategic planning for experiments and queries to uncover hidden data.
Work independently to refine problem designs based on feedback and improve AI model performance.
Qualifications
Must-Have
Graduate-level training in a relevant STEM field (MS, PhD, or equivalent research experience).
Proven proficiency with scientific software libraries through research publications or professional work.
Strong Python skills for writing problem setups and solution validators.
Ability to work independently and refine designs based on feedback.
Comfortable in a Linux/terminal environment with remote compute sandboxes.
Preferred
Experience across multiple listed domains or tools.
Familiarity with benchmark or evaluation design.
Background in scientific teaching or exam/problem-set design.
Experience with computational reproducibility and containerized environments.
Application Process (Takes 20–30 mins to complete)
Upload resume
AI interview based on your resume
Submit form
Resources & Support
For details about the interview process and platform information, please check:
For any help or support, reach out to:
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Originally posted on Himalayas
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: Bioinformatics & Computational Single-Cell Genomics Expert
Type:Contract
Compensation:$70–$100/hour
Location:Remote
Commitment:15–20 hours/week
Role Responsibilities
Design challenging computational problems to test AI systems using real scientific software.
Create problems requiring skilled use of specialized software like scanpy, scvelo, squidpy, and gudhi.
Evaluate and refine problems through testing loops against state-of-the-art AI models.
Develop problems that require strategic planning for experiments and queries to uncover hidden data.
Work independently to refine problem designs based on feedback and improve AI model performance.
Qualifications
Must-Have
Graduate-level training in a relevant STEM field (MS, PhD, or equivalent research experience).
Proven proficiency with scientific software libraries through research publications or professional work.
Strong Python skills for writing problem setups and solution validators.
Ability to work independently and refine designs based on feedback.
Comfortable in a Linux/terminal environment with remote compute sandboxes.
Preferred
Experience across multiple listed domains or tools.
Familiarity with benchmark or evaluation design.
Background in scientific teaching or exam/problem-set design.
Experience with computational reproducibility and containerized environments.
Application Process (Takes 20–30 mins to complete)
Upload resume
AI interview based on your resume
Submit form
Resources & Support
For details about the interview process and platform information, please check:
For any help or support, reach out to:
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Originally posted on Himalayas
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