Computational Scientist
Protein Library Design
Confirmed live in the last 24 hours
Manifold Bio

11-50 employees

Engineering precision biologics through protein barcoding technology
Company Overview
Manifold Bio stands out in the therapeutics industry with its unique advantage in engineering precision biologics, demonstrated by the development of the world's first high-throughput in vivo drug design platform. This platform is powered by a novel protein barcoding technology, bridging molecular biology and computing, which accelerates the process of making life-saving drugs available to patients. The company's team is comprised of experts in library-guided protein engineering, DNA synthesis, sequencing, and advanced bioinformatics and machine learning, offering a rich and diverse culture that fosters growth and innovation.
Biotechnology
B2B

Company Stage

Series A

Total Funding

$45.4M

Founded

2020

Headquarters

Boston, Massachusetts

Growth & Insights
Headcount

6 month growth

0%

1 year growth

25%

2 year growth

135%
Locations
Cambridge, MA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
Data Structures & Algorithms
Data Analysis
CategoriesNew
Bioinformatics
Computational Biology
Genomics
Biology & Biotech
Requirements
  • PhD and/or 4+ years of equivalent experience in computational biology, bioinformatics, genomics, systems/synthetic biology, protein engineering, or a similar field working with biological sequences or systems; wet lab experience is a plus
  • First-hand experience with any of the following: DNA/Protein sequence analysis, computational protein design, probabilistic modeling, machine learning, biophysical modeling, or antibody design
  • Experience with the design and analysis of massively parallel reporter assays (MPRAs)
  • Experience designing DNA libraries for binders, DMS, or equivalent high-throughput experiments
  • Experience working with Next Generation Sequencing (NGS) data
  • Strong understanding of statistics fundamentals
  • Fluency in one or more programming languages, Python preferred
  • Basic familiarity with version control, test-driven development, and Unix computing
  • Ability to meet the demands of multiple concurrent projects in a fast-paced research environment
  • Outstanding written and verbal communication skills
  • A deep passion for science and developing new methods
Responsibilities
  • Work closely with Manifold’s scientific teams to design maximally informative protein libraries
  • Collaborate on designing high-throughput experiments and analyze/interpret results
  • Perform data analysis to identify patterns in the mapping from sequence to function
  • Create tools, algorithms, models, and data pipelines to support our Compute and experimental teams
  • Proactively share your findings with colleagues through high-quality documentation and discussions