Lead Computational Biologist - Antibody Discovery

Apex Systems; Cambridge (MA); On-site; USD 110,000 - 170,000; Full time

Job summary

Stratacuity seeks a Computational Biologist to lead bioinformatics for antibody discovery and engineering. You will analyze genomic and RNA-Seq data, develop antibody repertoire databases, and drive ML-driven protein design in a fast-paced biotech environment.

The role requires deep fluency in Python or R, experience with NGS and antibody libraries, and collaboration across cross-functional teams to deliver scalable data solutions.

Qualifications

• Ph.D. in a relevant field with 3–5+ years of experience or MS with 10–15 years of experience.
• Experience with NGS and antibody libraries.
• Proven ability to lead bioinformatics projects across teams.
• Strong programming and data analysis skills in Python or R.

Responsibilities

• Analyze genomic and RNA-Seq datasets 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.
• Curate and integrate relevant genomic and transcriptomic datasets.
• Apply ML approaches for protein design and biological data analysis.
• Demonstrate experience with large-scale datasets (NGS, antibody libraries).
• Proficient in Python or R with Biopython and PyMOL.

Skills

Genomics data analysis

RNA-Seq analysis

Python

Biopython

Protein design ML

Antibody engineering

Molecular modeling

Data visualization

Cross-functional collaboration

Communication

Education

PhD in Bioinformatics

MS with 10–15 years experience

Tools

Rosetta

Schrodinger

MOE

Benchling

PyMOL

Job description

Stratacuity seeks a Computational Biologist to lead bioinformatics for antibody discovery and engineering. You will analyze genomic and RNA-Seq data, develop antibody repertoire databases, and drive ML-driven protein design in a fast-paced biotech environment.

The role requires deep fluency in Python or R, experience with NGS and antibody libraries, and collaboration across cross-functional teams to deliver scalable data solutions.