Computational Biologist | Up to $85/hr
• *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:**
Bioinformatician
• *Type:**
• *Contract**
• *Compensation:**
• *$60–$85/hour**
• *Duration:**
• *4-week engagement**
• *Commitment:**
• *Remote**
• *Role Responsibilities**
• Solve complex bioinformatics problems in areas like transcriptomics, genomics, and virology.
• Analyze large biological datasets and submit analytical workflows as Jupyter notebooks.
• Work under a blind protocol, tackling tasks independently without prior context.
• Ensure analytical workflows are well-documented and reproducible using Python and/or R.
• Utilize command-line tools like samtools for data analysis.
• Independently enhance AI model evaluation through scientific reasoning.
• *Qualifications**
• *Must-Have**
• PhD or Master's degree in bioinformatics, computational biology, genomics, or related field.
• Experience with RNA-seq analysis, variant calling, metagenomic classification, epigenomic profiling, single-cell analysis, or population genetics.
• Proficiency in Python and/or R.
• Ability to produce reproducible Jupyter notebooks.
• Strong independent problem-solving skills.
• *Start Date**
• March; tasks assigned on a rolling basis.
• *Interview Process**
• Short screening questionnaire to assess subdomain expertise and tool familiarity.
• *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: https://talent.docs.mercor.com/welcome/welcome
• For any help or support, reach out to: [email protected]
• PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.*
,
Apply Now
Apply Now
• *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:**
Bioinformatician
• *Type:**
• *Contract**
• *Compensation:**
• *$60–$85/hour**
• *Duration:**
• *4-week engagement**
• *Commitment:**
• *Remote**
• *Role Responsibilities**
• Solve complex bioinformatics problems in areas like transcriptomics, genomics, and virology.
• Analyze large biological datasets and submit analytical workflows as Jupyter notebooks.
• Work under a blind protocol, tackling tasks independently without prior context.
• Ensure analytical workflows are well-documented and reproducible using Python and/or R.
• Utilize command-line tools like samtools for data analysis.
• Independently enhance AI model evaluation through scientific reasoning.
• *Qualifications**
• *Must-Have**
• PhD or Master's degree in bioinformatics, computational biology, genomics, or related field.
• Experience with RNA-seq analysis, variant calling, metagenomic classification, epigenomic profiling, single-cell analysis, or population genetics.
• Proficiency in Python and/or R.
• Ability to produce reproducible Jupyter notebooks.
• Strong independent problem-solving skills.
• *Start Date**
• March; tasks assigned on a rolling basis.
• *Interview Process**
• Short screening questionnaire to assess subdomain expertise and tool familiarity.
• *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: https://talent.docs.mercor.com/welcome/welcome
• For any help or support, reach out to: [email protected]
• PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.*
,
Apply Now
Apply Now