The Scientist II will support the Biologics Engineering and Function group within Biologics Discovery. This role focuses on the accurate design and registration of biologic molecules, constructs, and associated scientific data within database repositories.
The position involves working closely with scientists and project teams to maintain accurate digital records, manage scientific data, and communicate molecule information to teams supporting downstream production and characterization activities.
Key Responsibilities
- Register biologic molecules, constructs, and associated metadata in scientific database repositories.
- Review molecule registration submissions for completeness, accuracy, and consistency.
- Collaborate with scientists to resolve registration questions, missing information, and data discrepancies.
- Maintain accurate records of molecule registrations, updates, and related scientific information.
- Support data quality control activities to ensure integrity across biologics discovery programs.
- Assist with scientific data migration, curation, and organization within database systems.
- Support the development and improvement of molecule registration workflows and documentation.
- Generate reports and provide updates on registration activities and data quality metrics.
- Communicate molecule information, construct details, and metadata to downstream scientific teams.
- Collaborate with research scientists, informatics teams, and project stakeholders.
- Participate in team meetings and communicate project progress and challenges.
Required Qualifications
- Bachelor's degree in Molecular Biology, Biochemistry, Biotechnology, Bioinformatics, Life Sciences, or a related scientific discipline.
- 1–3 years of relevant experience in scientific data management, laboratory operations, biologics research, or a related field.
- Experience with scientific databases, electronic laboratory systems, data management platforms, or informatics tools.
- Understanding of molecular biology concepts and scientific data management principles.
- Strong Microsoft Office skills, particularly Excel.
- Ability to manage large datasets accurately and efficiently.
- Excellent attention to detail, organizational skills, and data accuracy.
- Strong written and verbal communication skills.
- Ability to manage multiple assignments and work collaboratively with scientific teams.
Preferred Qualifications
- Understanding of antibody structure, function, and biologic therapeutic modalities.
- Knowledge of protein engineering, antibody formats, or sequence-based biologic design.
- Familiarity with biologics discovery workflows and molecule registration processes.
- Experience with Benchling, Genedata, Spotfire, or similar scientific informatics platforms.
- Experience supporting cross-functional research and development teams.