Computational Scientist (Proteomics)

Astrix; Red Bank (NJ); Remote; USD 120,000 - 190,000; Full time

Benefits offered by this job

Flexible hours

Remote work

Job summary

Astrix is seeking an experienced Computational Scientist with mass spectrometry and omics expertise to advance the scientific reliability of AI-powered analyses in a remote role. You will design evaluation tasks, curate datasets, and assess AI-generated interpretations, working with engineering and research teams to set rigorous standards for AI reasoning across proteomics and related omics.

Strong publication record and PhD in a related field are required, along with hands-on MS experience and

Qualifications

• PhD in proteomics, analytical chemistry, biochemistry, or related field.
• Hands-on mass spectrometry experience with data analysis.
• Strong knowledge of experimental design, statistics, analytical quality control, and biological interpretation.
• Ability to identify artifacts and justify evidence-based conclusions.
• Experience with AI assistants or AI-enabled tools (Claude, Cursor).

Responsibilities

• Develop scientific benchmarks: Create realistic analytical challenges and expert reference answers that test AI’s ability to interpret complex experimental data.
• Evaluate scientific validity: Distinguish genuine biological findings from technical artifacts, contamination, batch effects, and processing errors.
• Adjudicate ambiguous results: Assess evidence, identify analytical limitations, and recommend follow-up experiments where needed.
• Improve AI performance: Analyze model reasoning, identify failure modes, and evaluate the accuracy, scientific rigor, and calibration of confidence.
• Collaborate across disciplines: Work with engineers and scientists to translate domain expertise into scalable evaluation frameworks and workflows.
• Curate research datasets: Support benchmark development across proteomics, lipidomics, metabolomics, and relevant complementary biological data types.

Skills

Experimental design

Statistical analysis

Biological interpretation

Evidence-based reasoning

Collaborative teamwork

Education

PhD in proteomics/analytical chemistry/biochemistry

Tools

Mass spectrometry

AI tools (Claude, Cursor)

Job description

We are seeking an experienced Computational Scientist with expertise in mass spectrometry and omics research to help improve the scientific reliability of AI-powered analytical systems.

You will apply your domain knowledge to develop evaluation tasks, curate datasets, and assess whether AI-generated interpretations are scientifically sound. Working with engineering and research teams, you will help establish rigorous standards for AI reasoning across proteomics.

This is a remote position

Salary range: $120K or higher

Flexible hours

Responsibilities

• Develop scientific benchmarks: Create realistic analytical challenges and expert reference answers that test AI’s ability to interpret complex experimental data.
• Evaluate scientific validity: Distinguish genuine biological findings from technical artifacts, contamination, batch effects, and processing errors.
• Adjudicate ambiguous results: Assess evidence, identify analytical limitations, and recommend follow-up experiments where needed.
• Improve AI performance: Analyze model reasoning, identify failure modes, and evaluate the accuracy, scientific rigor, and calibration of confidence.
• Collaborate across disciplines: Work with engineers and scientists to translate domain expertise into scalable evaluation frameworks and workflows.
• Curate research datasets: Support benchmark development across proteomics, lipidomics, metabolomics, and relevant complementary biological data types.

Requirements

• PhD in proteomics, analytical chemistry, biochemistry, or a related discipline.
• Hands-on mass spectrometry experience, including experimental data analysis and a strong publication record.
• Strong understanding of experimental design, statistics, analytical quality control, and biological interpretation.
• Ability to identify technical artifacts, challenge unsupported conclusions, and communicate evidence-based scientific reasoning.
• Practical experience with AI assistants or AI-enabled development tools, such as Claude, Cursor, or similar platforms.

Huge Plus

• Experience in lipidomics or metabolomics beyond proteomics.
• Familiarity with protein sequencing, antibody-based assays, or sequencing technologies.
• Experience with scientific validation, benchmark development, or computational research workflows.

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