Scientist I, Protein Biology

Work Schedule:

Standard (Mon-Fri)

Environmental Conditions:

Adherence to all Good Manufacturing Practices (GMP) safety standards, cold room/freezers -22 degrees F/-6 degrees C, office, some degree of PPE (Personal Protective Equipment) required (safety glasses, gowning, gloves, lab coat, ear plugs, etc.)

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, including ELISA, Western blotting, flow cytometry, immunocytochemistry (ICC), co-immunoprecipitation (co-IP), 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.