Sr. Scientist, NGS and Bioinformatics Core

Responsibilities

• Lead the ongoing development and implementation of enhanced bioinformatics pipelines and computational workflows for the analysis of antibody sequences and immune repertoires from NGS and other data sources
• Apply and advance AI/ML approaches for antibody sequence analyses and sequence-epitope prediction
• Manage and continuously improve the end-to-end NGS workflow (library generation, sequencing on Illumina MiSeq, QC, and downstream analysis), directing execution and safeguarding data quality
• Ideate, propose, and lead new technology initiatives to expand sequencing capabilities, data infrastructure, and analytical tools
• Serve as the primary subject matter expert in bioinformatics, computational analysis, and NGS, educating and supporting cross-functional teams on data interpretation and best practices
• Maintain awareness of major announcements in the field and provide critical analyses of strengths and weaknesses of such claims to senior management
• Collaborate with project leads on sequencing and computational analyses reports
• Serve as a subject matter expert for the team in interactions with external partners, presenting sequencing data, interpreting results, and addressing partner questions with clarity and confidence
• Generate, organize, and maintain meticulous records using Electronic Lab Notebooks and generate SOPs

Qualifications

• Ph.D. in Molecular Biology, Biochemistry, Bioinformatics, Computational Biology, or related Life Sciences
• Minimally, 5+ years of experience in biotech/pharma or an academic setting with a strong focus on bioinformatics, computational biology, and/or NGS data analysis
• Proficiency in bioinformatics with hands-on experience applying NGS data analysis tools to antibody sequencing and immune repertoire workflows
• Proficient Python coding skills with experience in developing or customizing bioinformatics workflows for antibody sequencing and immune repertoire analysis
• Demonstrated experience applying AI/ML methods to antibody or protein sequence and structure data (e.g., sequence-epitope prediction, structure modeling)
• Understanding of the biology of the human immune repertoire and immunoglobulin genes
• Demonstrated initiative, insightfulness, and creativity in applications of AI/ML for analyses of antibody sequences and/or immune repertoires
• Experience with single-cell sequencing workflows, such as 10X Genomics, is a plus
• Experience with the applications of ML/AI to antibody drug discovery and development is a plus.
• Excellent troubleshooting, problem-solving, and analytical skills
• Meticulous attention to detail, planning, and organizational skills with a history of timeline-driven delivery
• Excellent communicator, highly effective in interacting with key internal and external stakeholders
• Team player and collaborative leader, with strong coaching and mentoring skills

About AlivaMab Biologics

AlivaMab Biologics sets its partners’ antibody discovery programs on the fastest and most de-risked path through discovery and development. Trusted by top-tier pharmaceutical and biotechnology companies, AMB delivers drug-quality, fully human antibodies on exceptional timelines. AMB achieves its partners’ design goals, from simple to extraordinarily challenging, through the generation and function-first screening of large, molecularly diverse panels of antibodies. AMB focuses on the rapid and efficient delivery of antibodies, characterized for function, kinetics, and developability, and on engineering alternative formats, including multispecifics and CARs. The AMB team’s experience and passion for antibody drug discovery and development, combined with trusted, proven technologies, including Ablexis' AlivaMab® Mouse platforms, ensure the highest probability of success.

Pay

$144,000 - $176,000 annually