Job highlights

- Applicants should have a degree in computer science,bioinformatics,computational biology or related field with a strong focus on sequence analysis and sequencing pipelines,computational or genAI based methods for protein / antibody design
- Education Experience levels: . PhD with 5 to 7 years experience,or . Master s degree with 10 to 13 years experience

The antibody team is involved in engineering and development of antibodies, with a deep focus on reagent quality and specificity. The core activities of team include design, development, purification, conjugation and testing of antibodies in a variety of immunoassay applications using pioneering tools and technologies. The goal of the program is advanced product development and creation of product specific information to promote research use. Role Responsibilities To support and develop novel in-silico based antibody development strategies for high throughput recombinant antibody development.

Responsibilities:

- Perform in a fast-paced setting towards antibody development testing
- Serve as technical lead to help evaluate and develop genAI and computational platforms to facilitate high throughput workflows in recombinant antibody development platforms
- Informal leadership of team of scientists in matrix style operation, provide technical and operational supervision. Mentoring and training junior scientists in computational biology and bioinformatics, interpreting data and data presentation to collaborators and partners.
- Serve as authority in the field of computational biology, bioinformatics, and next generation sequencing pipelines to provide inputs and guidance towards driving innovation and collaborations.
- Partner with supporting functions such as product management, program management, operations, and business development to meet program goals.

Candidate Requirement:

Education Experience levels:

- PhD with 5 to 7 years experience, or




- Master s degree with 10 to 13 years experience

Applicants should have a degree in computer science, bioinformatics, computational biology or related field with a strong focus on sequence analysis and sequencing pipelines, computational or genAI based methods for protein/antibody design.

Nature of experience

- Extensive experience with computational protein design and engineering, bioinformatics analysis, next generation sequencing analysis pipelines
- Expert level proficiency in Python, R, bioinformatics/computational biology and statistical tools like Pymol, Chimera, BLAST, Alphafold, ggplot etc. Proficiency in deep learning models and/or knowledge of large language models (LLMs), prompt engineering, and experience in implementing these tools to biological questions is highly desirable.
- Experience with website and/or database design using various platforms such as HTML, JavaScript, ShinyR, PowerApps etc
- Broad knowledge of antibody development and engineering including hybridoma, display technologies, single B cell, and other antibody platforms is a plus
- Experience in people mentorship and supervision is a plus
- Authorship of peer-reviewed publications with post-doctoral experience and a strong, independent understanding of standard and emerging trends in the field are preferred.
- Flexibility and adaptability to work in a fast-paced research environment.

The successful candidate will be self-motivated and a self-starter who is excellent at learning and applying new concepts for process or product improvements, possess excellent oral and written communication skills to connect to peers and leadership, and will be an excellent teammate to varied colleagues. Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Scientist III, Molecular Biology (Bengaluru)
🏢 Thermo Fisher Scientific
📍 Bengaluru