Bioinformatics Scientist

Stratacuity • Natick, MA

41d

About The Position

A fast-paced biotech team is seeking a Computational Biologist to lead bioinformatics efforts in antibody discovery and engineering. This role is ideal for someone who thrives at the intersection of data science and molecular biology, and is excited to contribute to the development of novel biologics. Key ResponsibilitiesAnalyze genomic and RNA-Seq datasets from public repositories to identify new therapeutic targetsOversee external efforts to verify gene sequences not yet available in public databasesLead development of intuitive databases housing antibody repertoire sequencesDesign and implement streamlined data entry workflows in Benchling for improved organization and accessibilityApply in-silico design strategies and software tools to remediate antibody sequence liabilities and enhance biophysical propertiesSupport external collaborations focused on machine learning applications in antibody discoveryCurate and integrate relevant genomic and transcriptomic datasetsAnalyze antibody libraries using clustering methods such as clonotyping and sequence-based grouping

Requirements

• Deep understanding of machine learning approaches for protein design and biological data analysis
• Proven experience implementing bioinformatics tools for managing and analyzing large datasets (e.g., NGS, antibody libraries)
• Proficient in Python or R, with experience using libraries like Biopython and PyMOL
• Skilled in DNA and RNA sequencing data analysis
• Familiarity with molecular modeling tools such as Rosetta, Schrodinger, or MOE
• Strong background in antibody engineering, including liability remediation and biophysical optimization
• Excellent communicator and collaborator, comfortable in cross-functional teams
• Adaptable and effective in a fast-paced, small-team environment
• Ph.D. in Bioinformatics, Computational Biology, Statistics, or Biological Sciences with 0-5 years of experience orMS in a relevant field with 10-15 years of experience and demonstrated expertise

Responsibilities

• Analyze genomic and RNA-Seq datasets from public repositories to identify new therapeutic targets
• Oversee external efforts to verify gene sequences not yet available in public databases
• Lead development of intuitive databases housing antibody repertoire sequences
• Design and implement streamlined data entry workflows in Benchling for improved organization and accessibility
• Apply in-silico design strategies and software tools to remediate antibody sequence liabilities and enhance biophysical properties
• Support external collaborations focused on machine learning applications in antibody discovery
• Curate and integrate relevant genomic and transcriptomic datasets
• Analyze antibody libraries using clustering methods such as clonotyping and sequence-based grouping

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Industry: Administrative and Support Services
• Education Level: Ph.D. or professional degree
• Number of Employees: 101-250 employees