Staff Engineer, Software

Role overview

Staff Engineer, Software at Thermo Fisher Scientific

Responsibilities

• Design the next generation of computational analysis pipelines for high-throughput processing of single-cell VDJ data.
• Help build and provision our data infrastructure towards antibody development and annotation of VDJ clonotypes, possibly adding other sources than single-cell VDJ sequencing.
• Contribute to annotation of immunoglobin germline variation on different genomes.
• Publish and present research at top-tier venues, while deploying your computational tools and algorithmic implementations into production systems.

Required qualifications

• Strong problem-solving skills and attention to detail.

Preferred qualifications and skills

• Knowledge of machine learning frameworks, including scikit-learn, TensorFlow, and PyTorch, is preferred.

Employment details

• Location: Bangalore [Karnātaka] [India]

About the employer

• As part of the Thermo Fisher Scientific team, you will discover meaningful work that makes a positive impact on a global scale.
• Partner with Thermo Fisher Scientific scientists and external academic research groups to translate research ideas into working prototypes.

Benefits

• Join our team as a computational immunologist (in single-cell analysis) and contribute to global healthcare and scientific innovation.

Additional role details

• Office work is required 3 days per week.
• As part of the AI Excellence team, you will apply advanced analytics, machine learning, and AI techniques to solve complex business challenges across our enterprise.
• In our collaborative environment, you will develop and deploy sophisticated AI solutions that are a fundamental part of novel products, drive operational efficiencies, and enhance decision-making capabilities.
• Establish the methods and solutions to analyse large amounts of single-cell VDJ sequencing data, specifically directed towards the development and evolution of antibodies.
• Add other sources of paired or unpaired immunoglobin data as needed.
• Conduct original research on affinity maturation and antibody developability.
• Advice on recombinant antibody production and immunochemical analysis.
• Lead and contribute to open-source projects, benchmarks, and research results used by the broader community.
• Advanced Degree (PhD) plus 2 years of experience, or Master's Degree plus 5-8 years of experience in Computational Immunology or Computational Biology.
• Preferred Fields of Study: Bioinformatics, Data Science, Computer Science, Statistics, Mathematics, Immunology, Genetics, Biochemistry, or a related quantitative field.
• Expertise and proven hands-on work in analysis and processing of single-cell VDJ sequencing data from different technology providers or homebrewed solutions.
• A strong background in large-scale data integration and multimodal-omics data for biological systems is preferred.
• Advanced proficiency in Python, SQL, and other coding languages of relevance.
• Experience querying knowledge graphs will be advantageous.
• Strong knowledge of cloud platforms (AWS, Azure) and big data technologies (Spark, Databricks).
• 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.
• You should be 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.
• Domain knowledge in immunology for antibody production will be highly valued.
• Excellent project management and organizational abilities.
• Willingness to stay current with emerging technologies and industry trends.