Katie O'neill
About Katie O'neill
Katie O'Neill is a Bioprocess Associate at Bristol-Myers Squibb with a background in chemical sciences and medicinal chemistry.
Current Role at Bristol-Myers Squibb
Katie O'Neill is currently working as a Bioprocess Associate at Bristol-Myers Squibb. In this role, she is likely involved in the development and optimization of bioprocesses for manufacturing biologic drugs. Her work may include designing experiments, analyzing data, and ensuring processes comply with regulatory standards.
Previous Roles at Bristol-Myers Squibb
Katie O'Neill has previously held roles at Bristol-Myers Squibb. In 2019, she worked as a Manufacturing Process Scientist for 2 months, and from 2018 to 2019, she served as a Technical Writer in Cruiserath for 1 year. In these roles, she likely contributed to manufacturing process improvements and developed technical documentation to ensure compliance and efficiency.
Experience at MedLab Pathology
In 2017, Katie O'Neill worked at MedLab Pathology in County Dublin, Ireland as a Cytology Processing MLA for 6 months. She was responsible for processing cervical smear samples in accordance with the National Cervical Smear Screening Programme. This role required attention to detail and adherence to strict protocols to ensure accurate and reliable results.
Educational Background
Katie O'Neill studied at the Dublin Institute of Technology, where she achieved a Bachelor's Degree in Chemical Sciences with Medicinal Chemistry from 2014 to 2016. Prior to that, she earned a Bachelor's Degree in Medicinal and Pharmaceutical Chemistry from 2009 to 2014. She also completed her Leaving Certificate at the Intermediate School Killorglin from 2003 to 2009.
Professional Skills and Projects
Throughout her career, Katie O'Neill has developed strong organizational skills and competency in producing individual and group projects. She is proficient in Microsoft Excel Project Tracking Documentation and Standard Operating Procedures (SOPs). Her work includes two thesis projects focused on method development by optimizing parameters to increase efficiency of processes and analytical techniques.