Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Adherence to all Good Manufacturing Practices (GMP) Safety Standards, Cold Room/Freezers -22degreesF/-6degrees C, Laboratory Setting, Office, Some degree of PPE (Personal Protective Equipment) required (safety glasses, gowning, gloves, lab coat, ear plugs etc.)

Job Description

Scientist I, Protein Biology

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 global 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.

About the 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 groundbreaking tools and technologies. The goal of the program is recombinant antibody development and creation of product-specific information to promote research use.

Key Responsibilities

·       Design and execute immunoassays to support antibody development and validation programs.

·       Meticulous experimental planning and execution to meet program goals.

·       Timely record-keeping of results into data sheets and laboratory notebooks.

·       Attention to detail and adherence to schedules.

·       Communicate results clearly—in team meetings, written reports, and data presentations.

·       Regular mining of literature and keeping oneself up to date with developments in the field of antibody development.

·       Troubleshoot technical challenges and propose practical solutions to keep projects moving.

Qualifications & Experience

Education

Applicants should hold a degree in a relevant life sciences discipline (protein biology, molecular biology, biochemistry, immunology, biotechnology, or a related field) at one of the following levels:

·       PhD (graduated within the last year)

·       Master's degree with a minimum of 3 years of relevant research experience

Technical Skills & Experience

·       Immunoassay Applications: Demonstrated experience in immunoassay development and application testing, especially, Immunocytochemistry (ICC) and Immunohistochemistry (IHC). Advanced expertise in microscopy, spatial biology platforms, and multiplexed IHC/IF/ISH, with experience developing and analyzing high-content tissue imaging assays for protein expression and cellular phenotyping is highly advantageous.

·       Bioinformatics, Programming & AI literacy: 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.

·       Molecular Biology: Solid foundation in molecular biology techniques including nucleic acid extraction, PCR, cloning, sequence analysis, and vector design.

·       Cell Culture Techniques: Practical experience in standard mammalian or other specialized cell culture techniques supporting protein expression, antibody production, or related workflows.

·       Antibody Development Platforms: Theoretical or practical exposure to antibody development platforms such as hybridoma, single B-cell, display technologies, or other recombinant approaches is desirable.

·       Automation & High-Throughput Methods: Experience with automated liquid-handling platforms, high-content imaging or other high-throughput methodologies is advantageous.

·       Scientific Communication: Track record of scientific output through peer-reviewed publications, project reports, or thesis work. A strong, independent understanding of standard and emerging trends in the field is highly preferred.

·       Data Analysis & Software proficiency: Proficiency in MS Office (Word, PowerPoint, Excel) and statistical software such as GraphPad Prism, ggplot etc. Experience with website and/or database design using various platforms such as HTML, JavaScript, ShinyR, PowerApps etc.

The ideal candidate would be:

·       Self-motivated and a proactive self-starter with a strong drive for continuous learning and process/product improvement

·       An excellent communicator-both written and oral-capable of clearly conveying findings to peers, collaborators, and leadership

·       A collaborative team player who works effectively with diverse colleagues across functional and organizational boundaries

·       Adaptable and flexible in navigating a fast-paced, evolving research environment with shifting priorities

·       Detail-oriented with a commitment to scientific rigor, schedule adherence, and data integrity

Thermo Fisher Scientific is an equal opportunity employer, and we 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 competitive remuneration, annual incentive plan bonus, healthcare, and a range of employee benefits and a company culture that stands for integrity, intensity, involvement, and innovation.