Computational Scientist - Antibody & Assay Design

Manifold Bio

Boston

On-site

PHP 7,234,825 - 8,461,067

Full time

14 days+

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Benefits offered by this job

Annual performance-based bonus
Stock options
Comprehensive medical, dental, and vision coverage
401(k) plan
Flexible paid time off
On-site gym and lunch

Job summary

Manifold Bio in Boston, Davao Oriental, seeks a Computational Scientist to join the Quantitative Biology team. You will work closely with experimental scientists to design and analyze multiplexed protein library experiments.

The ideal candidate will possess a PhD and experience in antibody engineering, as well as a strong background in data pipeline development and analysis. This role includes responsibilities such as inventing new assays and performing data analytics in a collaborative environment.

Qualifications

  • PhD or equivalent experience in computational biology, bioinformatics, protein engineering, or similar field.
  • Experience in antibody design, optimization, or discovery.
  • Familiarity with massively parallel reporter assays (MPRAs) and high-throughput screening data analysis.

Responsibilities

  • Invent new protein engineering assays.
  • Build data pipelines for real-time analysis and reporting.
  • Collaborate on high-throughput experiments and analyze results.

Skills

Python programming
Data pipeline development
Antibody engineering
High-throughput screening analysis
Communication skills

Education

PhD in Computational Biology or related field

Tools

Unix computing
Next Generation Sequencing (NGS)

Job description

Manifold Bio in Boston, Davao Oriental, seeks a Computational Scientist to join the Quantitative Biology team. You will work closely with experimental scientists to design and analyze multiplexed protein library experiments.

The ideal candidate will possess a PhD and experience in antibody engineering, as well as a strong background in data pipeline development and analysis. This role includes responsibilities such as inventing new assays and performing data analytics in a collaborative environment.

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