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What skills does Thermo Fisher Scientific want for this Scientist III, Computational Biology role?

The job description asks for computational protein design, bioinformatics analysis, next generation sequencing analysis pipelines, Python, R, bioinformatics/computational biology, statistical tools and Pymol. Make sure your resume shows the ones you have, in the words the job uses: applicant tracking systems look for them.

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Is this Scientist III, Computational Biology job remote or onsite?

This is based in Bengaluru East, Karnataka.

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Scientist III, Computational Biology

Thermo Fisher Scientific

Bengaluru East, Karnataka, India

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

About The Company

Thermo Fisher Scientific Inc. (NYSE: TMO) is the world leader in serving science, with annual revenue of approximately $44 billion. Our Mission is to enable our customers to make the world healthier, cleaner, and safer. Whether our customers are accelerating life sciences research, solving analytical challenges, growing efficiency in their laboratories, improving patient health through diagnostics, or developing and manufacturing life-changing therapies, we are here to support them. Our distributed team delivers an outstanding combination of innovative technologies, purchasing convenience, and pharmaceutical services through our industry-leading brands, including Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific, Unity Lab Services, Patheon, and PPD. Our Innovative Laboratory technologies & Services makes it easier for customers.

About Team: Antibody team

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 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!

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