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.
Key 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
Skills & Experience
- 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 0-5 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.
PROVEN SCIENTIFIC PLACEMENT™
Stratacuity is an Equal Employment Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Stratacuity will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact us.
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