Research Assistant (Life Sciences) at Crossing Hurdles

Berlin, Berlin, Germany -

Full Time

Start Date

Immediate

Expiry Date

20 Dec, 26

Salary

45000.0

Posted On

21 Sep, 26

Experience

1 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Industry

Biotechnology

Description

Develop realistic life sciences research tasks involving experimental design, protocol evaluation, data interpretation, and scientific reasoning.
Review and analyze research data, laboratory results, scientific literature, and technical documentation.
Evaluate methodological approaches and identify strengths, limitations, and potential sources of error.
Create high-quality reference solutions based on established scientific principles and research best practices.
Review AI-generated outputs for scientific accuracy, methodological rigor, and evidence-based reasoning.
Synthesize information from multiple scientific sources and datasets.
Develop structured evaluation rubrics focused on data interpretation, source fidelity, protocol adherence, and scientific reasoning.
Document findings and provide detailed written feedback to improve model performance.
Collaborate asynchronously with project teams to refine evaluation tasks and scientific benchmarks.
Required QualificationsBachelor's or Master's degree in Biology, Biomedical Sciences, Biochemistry, Biotechnology, Molecular Biology, Pharmacology, Life Sciences, or a closely related field.
Minimum 2 years of research, laboratory, or scientific analysis experience.

Responsibilities

Develop realistic life sciences research tasks involving experimental design, protocol evaluation, data interpretation, and scientific reasoning.
Review and analyze research data, laboratory results, scientific literature, and technical documentation.
Evaluate methodological approaches and identify strengths, limitations, and potential sources of error.
Create high-quality reference solutions based on established scientific principles and research best practices.
Review AI-generated outputs for scientific accuracy, methodological rigor, and evidence-based reasoning.
Synthesize information from multiple scientific sources and datasets.
Develop structured evaluation rubrics focused on data interpretation, source fidelity, protocol adherence, and scientific reasoning.
Document findings and provide detailed written feedback to improve model performance.
Collaborate asynchronously with project teams to refine evaluation tasks and scientific benchmarks.
Required QualificationsBachelor's or Master's degree in Biology, Biomedical Sciences, Biochemistry, Biotechnology, Molecular Biology, Pharmacology, Life Sciences, or a closely related field.
Minimum 2 years of research, laboratory, or scientific analysis experience.