Senior Scientist, Machine Learning Antigen Design Expert
4 weeks ago
Apriori Bio is a pioneering biotechnology company dedicated to developing a world protected against viral threats. Our unique technology platform, Octavia, enables us to survey the entire landscape of existing and potential variants to design new vaccines against the most threatening viruses. Octavia also informs public health policy in real-time by predicting the impact of emerging variants.
Position SummaryThis Senior Scientist will join a rapidly growing team leveraging computational approaches to design novel antigens and evaluate subsequent vaccine responses. The successful candidate will play a key role in formulating and executing a science and technology strategy that will allow the company to deliver against its near- and longer-term goals.
Key Responsibilities:- Design, train, and apply models that integrate high-dimensional datasets from biological screening platforms with structure- and sequence-based approaches to guide biomolecule engineering.
- Formulate hypotheses and design experiments to evaluate novel immunization strategies.
- Identify and source relevant external datasets to support the vaccine design program.
- Build robust computational tools for data-driven product design that can be easily integrated into our platform.
- Collaborate with engineers, computation scientists, and experimentalists to execute on project goals.
- Collaborate with in vitro and in vivo characterization teams to interpret vaccine immunogenicity in context of next-generation immune monitoring tools.
- Communicate insights and conclusions to colleagues in the scientific and leadership teams.
- Ph.D. in biomolecule engineering, immunology, computational biology, or a related field with 5+ years post-PhD experience.
- Experience with applying biophysical, statistical, or ML/AI approaches to interpret and apply readouts from high-throughput phenotypic screens.
- Expertise in biomolecule engineering (structural, rational, or machine-learning driven) with applications in vaccine or protein design.
- Strong scientific/quantitative programming skills (python preferred) and experience in implementing best practices in reproducible scientific computing.
- Experience with collaborative coding in an academic or industry setting.
- 3+ years of experience leveraging high-throughput phenotypic data for biomolecule design.
- Experience in vaccine design, optimization, and/or selection, especially against highly variable viruses.
- Experience with machine learning, especially deep learning.
- Experience with NGS data pipelines and analysis.
- Experience with cloud and/or distributed computing.
- Laboratory experience in molecular biology, biochemistry, or immunology.
Flagship Pioneering and our ecosystem companies are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.
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