Scientist III Protein Biology Full-time

Antibody Team Role

To support and develop novel in-silico based antibody development strategies for high throughput recombinant antibody development.

Responsibilities:

• Perform in a fast-paced environment 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.

Thermo Fisher Scientific is an equal opportunity employer and value diversity at our company. All qualified applicants will receive consideration for employment without discrimination basis race, color, religion, sex, sexual orientation, gender, gender identity or expression, national origin, protected veteran status, age, genetics, pregnancy, disability or any other legally protected status. Thermo Fisher Scientific aligns with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.

We offer attractive remuneration, annual incentive plan bonus, healthcare, and a range of employee benefits. We offer employment with an innovative, forward-thinking organization, and outstanding career and development prospects. We offer a company culture that stands for integrity, intensity, involvement, and innovation!