Location: Remote
Onsite visit to HQ or Newton lab once per year.

Position Summary:

We are seeking a Structural Evolutionary Biologist to join Invivyd’s Research and Development Team. The ideal candidate brings a strong foundation in molecular evolution, protein structure and computational analysis, with the ability to translate large-scale sequence data into mechanistic insights that inform therapeutic monoclonal antibody development. In this role you will be responsible for building computational tools and bioinformatics analysis pipelines and associated user interfaces to support therapeutic discovery and development as well as processing viral sequencing data for SARS-CoV-2, RSV, Influenza and other targets of interest to study and identify emerging pathogens.

Responsibilities:

• Lead an effort that coordinates inputs from microbiologists, evolutionary biologists and antibody engineers to guide programming efforts to develop bioinformatic tools for use in antibody discovery and development
• Analyze large sequence datasets to identify evolutionary trends, structural constraints, variant hotspots, and functional motifs in multiple viral target proteins
• Develop, maintain, and optimize computational pipelines for sequence processing, structural prediction, phylogenetic analysis, and evolutionary modeling
• Curate wastewater and clinical sequence database connectivity pipelines
• Support protein engineering and antibody programs by providing structural and evolutionary risk assessments and actionable insights
• Generate figures and animations that effectively communicate observed trends in virus evolution and target structural dynamics
• Author non-clinical study reports related to pathogen surveillance in support of regulatory filings
• Serve as primary point of contact for collaborations and contracts with external partners
• Manage a team of programmers and developers
• Collaborate closely with cross-functional teams, including other research and development groups, preclinical, clinical and regulatory teams

Requirements:

• PhD in a relevant scientific discipline (e.g., Computational Biology, Evolutionary Biology, Molecular Biology, Structural Biology, Biochemistry, Immunology, Microbiology)
• Demonstrated expertise in microbial molecular evolution, sequence analysis, and phylogenetics
• Experience working with large biological data sets and establishing quality assessment workflows for regularly updated databases
• Programming skills in Python and JavaScript
• Proficiency in design and maintenance of customized computational biology tools and cloud-based bioinformatics suites
• Experience in managing CROs and external collaborations, including budgeting and timeline management
• Strong problem-solving skills and the ability to adapt to evolving project needs
• Excellent verbal and written communication skills
• Ability to work independently as well as part of a multidisciplinary team
• Highly organized with strong attention to detail
• Inclusion of a coding portfolio as part of the application (a link to GitHub repository is preferred)
• At least 2 years of experience in the pharmaceutical or biotechnology industry, with a focus on antibody drug discovery and development or infectious diseases - preferred
• Experience with SARS-CoV-2 research or similar virology-related projects - preferred
• Experience in regulatory interactions and patenting strategies - preferred