Associate Principal Bioinformatics Specialist, Omics, Oncology Data Science Platforms

AstraZeneca • Waltham, MA

1d

About The Position

Introduction to role Are you an expert in bioinformatics pipelines, AI and data engineering workflows for biomarker discovery? Are you an AI-native bioinformatician who leverages LLMs/Foundation Models to improve your productivity and augment your workflows? Do you want to make a significant impact on cancer research by applying your knowledge in a company that transforms scientific ideas into life-changing medicines? If so, AstraZeneca could be your next career destination! Accountabilities Join our growing ODSP team to support AstraZeneca Oncology's strategic initiatives in high-throughput molecular data generation, including somatic DNA sequencing, single-cell and bulk transcriptomics, proteogenomics, and digital pathology. As an AI-native Bioinformatician with expertise in NGS 'omics data, you'll design and apply innovative computational & AI analysis methods to advance our multi-omics research portfolio. Your strong quantitative skills will help build scalable solutions to interrogate diverse cancer 'omics datasets, empowering researchers to use AI systems for data-driven decision-making and biomedical knowledge generation.

Requirements

• Master’s degree in Bioinformatics , Computational Biology, or a related field with 5+ years of applied experience in bioinformatics data analysis or Ph.D. in Bioinformatics, Computational Biology, or a related field with 2 + years of experience
• Deep understanding of at least one type of molecular profiling data (e.g. RNA or DNA sequencing) and experience in analysing human Illumina NGS results from raw data to insights
• Direct experience with domain specific foundation models for omics or imaging (e.g., fine tuning, modality adaptation), with strong understanding of transformers/neural networks
• Extensively uses AI tools for productivity like LLMs, coding copilots (e.g. Github copilot with VS Code) and research assistants
• Familiarity with Agentic frameworks (e.g. LangChain , Pydantic AI) and their application to scientific problems
• Experience with other machine learning, graph modelling, Bayesian analytics or other non-traditional approaches to model biological data for biomarker discovery
• Proven programming skills, (Python preferred) and familiarity with software development best-practices (end-to-end tests, unit testing, version control with git)
• Experience working in Unix/Linux environments, exposure to at least one common workflow language such as Nextflow or Snakemake, familiarity with package management (e.g. Conda)
• Cloud computing (preferably AWS), and High-Performance Computing (HPC)
• ‘Builder’ mindset, strategic thinker, and experience leading projects
• Strong, professional communication skills and excellent attention to detail, capable of developing good effective collaborative relationships with diverse teams of technical and non-technical analysts, engineers, scientists, strategists
• Experience working within a team environment

Nice To Haves

• Proficiency analysing and interpreting data from multiple 'omics platforms (NGS sequencing, transcriptomics, epigenomics, genomics, proteomics etc.) in an oncology context
• Exposure to public cancer knowledgebases and resources (e.g. dbSNP , COSMIC, gnomAD , GDC, TCGA, 1000 Genomes etc)
• Experience working with patient data from clinical trials and biomarker development
• W ell networked within external bioinformatics, NGS, and AI/ML communities

Benefits

• Benefits offered included a qualified retirement program [401(k) plan]; paid vacation and holidays; paid leaves; and, health benefits including medical, prescription drug, dental, and vision coverage in accordance with the terms and conditions of the applicable plans.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees