Bioinformatics Scientist

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

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.

• 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
• Curate and integrate relevant genomic and transcriptomic datasets
• 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

Qualifications

• Ph.D. in Bioinformatics, Computational Biology, Statistics, or Biological Sciences with 3-5+ years of experience or
• MS in a relevant field with 10-15 years of experience and demonstrated expertise

About Stratacuity

Whether you are seeking a career change or simply interested in becoming part of our network, you will appreciate the ethics guiding each Stratacuity team member. We build lasting relationships with exceptional biopharmaceutical talent and take great care to protect your personal information. Upon receiving your inquiry, you may be directly contacted by a Stratacuity team member to discuss your career goals. We will not share your information with anyone without your direct prior consent.

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