Staff Engineer, Software

Overview

Computational immunologist (single-cell analysis) on the AI Excellence team, applying advanced analytics, machine learning and AI to develop antibody and immunology solutions within the Proteomic Sciences Division.

What you'll do

• Establish methods and solutions to analyse large amounts of single-cell VDJ sequencing data, directed towards the development and evolution of antibodies.
• Design the next generation of computational analysis pipelines for high-throughput processing of single-cell VDJ data, adding other sources of paired or unpaired immunoglobulin data as needed.
• Conduct original research on affinity maturation and antibody developability.
• Help build and provision data infrastructure for antibody development and annotation of VDJ clonotypes, possibly adding sources other than single-cell VDJ sequencing.
• Contribute to annotation of immunoglobulin germline variation on different genomes.
• Advise on recombinant antibody production and immunochemical analysis.
• Partner with Thermo Fisher Scientific scientists and external academic research groups to translate research ideas into working prototypes.
• Lead and contribute to open-source projects, benchmarks and research results used by the broader community.
• Publish and present research at top-tier venues, while deploying computational tools and algorithmic implementations into production systems.

What you'll need

• Advanced Degree (PhD) plus 2 years of experience, or Master's Degree plus 5-8 years of experience, in Computational Immunology or Computational Biology.
• Expertise and proven hands-on work in analysis and processing of single-cell VDJ sequencing data from different technology providers or homebrewed solutions.
• Advanced proficiency in Python, SQL and other coding languages of relevance.
• Proficiency in statistical analysis, experimental design and hypothesis testing.
• Experience with ETL processes and data pipeline development.
• Knowledge of DevOps practices and version control systems (Git).
• Strong communication skills for presenting technical concepts to non-technical stakeholders; comfortable collaborating across research and engineering teams.
• Ability to work independently and collaboratively in a team environment.
• Ability to move quickly from ideas to insights using sound experimental strategies.
• Strong problem-solving skills and attention to detail.
• Excellent project management and organizational abilities; comfortable in fast-paced, innovation-driven environments with evolving priorities.
• Willingness to stay current with emerging technologies and industry trends.

Nice to have

• Preferred fields of study: Bioinformatics, Data Science, Computer Science, Statistics, Mathematics, Immunology, Genetics, Biochemistry, or a related quantitative field.
• Strong background in large-scale data integration and multimodal-omics data for biological systems.
• Experience querying knowledge graphs.
• Knowledge of machine learning frameworks, including scikit-learn, TensorFlow and PyTorch.
• Strong knowledge of cloud platforms (AWS, Azure) and big data technologies (Spark, Databricks).
• Prior open-source contributions or research publications.
• Domain knowledge in immunology for antibody production.

Details

• Location: Bangalore, India.
• Office work required 3 days per week.
• Work schedule: Standard (Mon-Fri).
• Environmental conditions: Office.