Computational Biologist: Antibody Discovery Lead

Stratacuity: Proven Scientific Placement; Cambridge (MA); On-site; USD 120,000 - 180,000; Full time

Job summary

Stratacuity, a fast-growing biotech placement firm, seeks a Computational Biologist to lead bioinformatics for antibody discovery and engineering. You will analyze genomic and RNA-Seq data, oversee external sequence verification, build antibody repertoire databases, and design Benchling workflows in a collaborative Cambridge, MA team.

Required: Ph.D. with 3–5+ years or MS with 10–15 years in bioinformatics or related fields; strong Python or R (Biopython, PyMOL); familiarity with

Qualifications

• Ph.D. with 3–5+ years or MS with 10–15 years of demonstrated expertise.
• Experience leading bioinformatics in antibody discovery and engineering.
• Proficiency in Python or R and related libraries (Biopython, PyMOL).
• Strong ability to design and implement data workflows and databases.

Responsibilities

• Analyze genomic and RNA-Seq data to identify therapeutic targets.
• Oversee external efforts to verify gene sequences not in public databases.
• Lead development of databases housing antibody repertoire sequences.
• Design data-entry workflows in Benchling for organization and accessibility.
• Curate and integrate genomic and transcriptomic datasets.
• Apply machine learning approaches to protein design and data analysis.
• Develop and deploy bioinformatics tools for large datasets (NGS, antibody libraries).
• Collaborate across teams in a fast-paced environment.

Skills

Python

R

Biopython

PyMOL

Machine learning

Data analysis

Communication

Cross-functional teamwork

Education

Ph.D. in Bioinformatics/Computational Biology/Statistics/Biological Sciences

MS in a relevant field with 10–15 years experience

Tools

Benchling

Rosetta

Schrödinger

MOE

Job description

Stratacuity, a fast-growing biotech placement firm, seeks a Computational Biologist to lead bioinformatics for antibody discovery and engineering. You will analyze genomic and RNA-Seq data, oversee external sequence verification, build antibody repertoire databases, and design Benchling workflows in a collaborative Cambridge, MA team.

Required: Ph.D. with 3–5+ years or MS with 10–15 years in bioinformatics or related fields; strong Python or R (Biopython, PyMOL); familiarity with