Senior Scientist – Protein Expression Sciences; Antibody Discovery

Senior Scientist

We are seeking a highly motivated Senior Scientist to join our Antibody Discovery team within the Protein Expression Sciences department. This role is at the forefront of early therapeutic discovery, where you will drive ongoing programs and analyze complex datasets to enable the selection of next-generation therapeutic antibodies.

The ideal candidate will thrive in a collaborative, cross-functional environment and will coordinate screening campaigns, interpret high-throughput data across multiple concurrent projects, and clearly communicate key findings to internal stakeholders. Strong analytical skills, attention to detail, and the ability to translate data into actionable insights are essential for success in this role.

As a Senior Scientist, a typical day may include:

• Managing multiple projects simultaneously within a cross-functional team environment
• Establishing and communicating timelines across research teams, both within and outside the department
• Analyzing primary screening data using a variety of software tools and selecting antibodies with desired functional properties
• Ensuring accurate and complete capture of experimental data in internal databases and repositories
• Presenting results from antibody discovery campaigns to team members, cross-functional partners, and senior leadership
• Staying current with scientific advances in the field and contributing to team strategy
• Mining and summarizing data to support process improvements and enhance discovery pipelines

This role may be for you if you:

• Enjoy working in a high-throughput environment focused on discovering innovative therapies for serious medical conditions
• Bring a collaborative, agile mindset and leverage technology creatively to accelerate drug discovery
• Have experience using modern data analysis and visualization tools (e.g., advanced Excel, Graph Pad Prism, Spotfire, Power BI, or similar platforms) to explore datasets, generate insights, and communicate results
• Have familiarity with basic scripting or automation tools (e.g., Python, R, or workflow tools), which is a plus but not required
• Demonstrate strong project management, analytical, and organizational skills
• Have experience with laboratory automation and data management systems (e.g., LIMS), which is a plus
• Possess a strong publication record in peer-reviewed journals (preferred)

Requirements:

• Ph.D. in Molecular Biology, Cellular Biology, Biochemistry, Immunology, or a related field with 2–4 years of relevant experience.

Additional qualifications:

• Working knowledge of immunology, including antibody generation, structure, and characterization (strongly preferred)
• Proven experience analyzing large datasets and synthesizing results into clear conclusions
• Experience with multi-well assays used in drug screening and high-throughput data analysis (preferred)