Biotechnology Research Scientist - Genomics

Obsidian; Berlin; Vor Ort; EUR 1.365.012 - 1.721.103; Vollzeit

Zusammenfassung

Obsidian is seeking experienced biotechnology research scientists in Berlin. This role involves collaborating with AI labs to enhance AI systems for biological research, focusing on areas like genomic data analysis and experimental design.

The ideal candidates will have 3+ years of experience, ideally with advanced degrees. The compensation is competitive, rewarding top performers with bonuses and potential for hourly pay.

Qualifikationen

• 3+ years of professional or postdoctoral research experience in biotechnology, genomics, or proteomics.
• Background in areas such as cloning, gene editing, mass spectrometry, and bioinformatics.
• Professional experience at a biotech company, CRO, or pharmaceutical R&D organization.

Aufgaben

• Review and evaluate AI-generated outputs related to experimental design.
• Create realistic scenarios based on laboratory workflows.
• Provide structured feedback on AI accuracy in molecular biology techniques.
• Collaborate asynchronously with research teams to refine evaluation frameworks.

Kenntnisse

Genomics and next-generation sequencing

Proteomics

Molecular biology techniques

Analytical thinking

Clear written communication

Ausbildung

Advanced degree (MS, PhD) in relevant life sciences field

Jobbeschreibung

Role Overview

Mercor is partnering with leading AI labs to engage experienced biotechnology research scientists — molecular biologists, genomicists, proteomics specialists, and biotech R&D professionals — to improve AI systems' reasoning around biological research methodologies, data interpretation, and experimental design. Contributors will apply their expertise in areas such as next-generation sequencing, protein structure and function, molecular cloning, and drug discovery research to evaluate and enhance AI performance on biotechnology research-specific tasks. This is a project-based opportunity with potential for ongoing engagement depending on performance and project needs.

Key Responsibilities

• Review and evaluate AI-generated outputs related to experimental design, genomic data analysis, protein characterization, and biotech research methodologies
• Create realistic scenarios based on laboratory and research workflows — gene expression analysis, CRISPR experimental protocols, proteomics data interpretation, assay development, and preclinical research planning
• Annotate, label, and validate data across biotech research use cases (e.g., sequencing pipeline accuracy, variant interpretation, pathway analysis, molecular target identification)
• Provide structured feedback on AI accuracy in areas such as molecular biology techniques, genomics and proteomics standards, regulatory guidelines for research (GLP, IRB requirements), and scientific literature interpretation
• Collaborate asynchronously with research teams to refine evaluation frameworks for biotechnology research AI

Ideal Qualifications

• 3+ years of professional or postdoctoral research experience in biotechnology, genomics, proteomics, or molecular biology
• Background in one or more areas such as:
  • Genomics and next-generation sequencing (NGS) — library prep, variant calling, bioinformatics pipelines
  • Proteomics — mass spectrometry, protein expression, structural biology
  • Molecular biology — cloning, gene editing (CRISPR/Cas9), PCR, cell culture
  • Drug discovery or target identification (lead optimization, HTS, biomarker development)
  • Bioinformatics or computational biology supporting wet-lab research
• Advanced degree (MS, PhD) in a relevant life sciences field strongly preferred
• Professional experience at a biotech company, CRO, academic research lab, or pharmaceutical R&D organization
• Strong analytical thinking and ability to translate complex research workflows into structured evaluation tasks
• Clear written communication and attention to detail

Compensation Note

• Task Completion Pay: Competitive and based on task quality (~$1,150 – $1,450 per completed task, subject to change as the project evolves)
• Performance Bonus: Top performers receive a weekly bonus incentive on top of their per task rate!
• Hourly Opportunity: Top performers may be invited to transition to an hourly compensation model based on sustained quality and throughput.