Experience

SGMA

• United Kingdom
• Chemical Manufacturing
• 1 - 100 Employee

• R&D Process Development Manager

  • May 2022 - Present



Coty

• Netherlands
• Personal Care Product Manufacturing
• 700 & Above Employee

• Industrial Chemist

  • Mar 2020 - May 2022

  Industrialisation of new colour cosmetic product initiatives - adhering to Cosmetics GMP ISO 22716 - whilst providing technical support to Factory Operations teams- Qualifying and optimising the manufacturing process for the scale-up of pilot batches from R&D to commercial scale- QC testing of pilot batches against PPQ protocols, including shade determination via UV-Vis spectroscopy, viscosity, application and odour- Running production line trials to establish optimal filling parameters - Conducting COSHH, Process Risk Assessments and FMEAs for new formulae/processes- Analysis of vessel data and batch data in control charts (Statistical Process Control) to suggest specification and/or process improvements



ILL - Institut Laue Langevin

• France
• Research Services
• 200 - 300 Employee

• Research Scientist

  • Jun 2018 - Nov 2018

  Masters Research ProjectPreliminary research into the thermodynamic forces driving the self-assembly of surfactant-oligosaccharide aggregates and characterisation of the structures via a variety of physicochemical techniques. A non-linear regression model was built in Python to describe the binding event. This project went on to secure PhD funding.Surfactant: Polyoxyethylene alkyl ether carboxylic acidsOligosaccharide: Cyclodextrin Techniques including: Small Angle Neutron Scattering (SANS), Isothermal Titration Calorimetry, Differential Scanning Calorimetry, UV-Vis Spectroscopy, NMR Spectroscopy and Densitometry.



UCB

• Belgium
• Pharmaceutical Manufacturing
• 700 & Above Employee

• Computational Scientist

  • Sep 2016 - Aug 2017

  Industrial Placement YearCollaborative project between the CADD (Computer Aided Drug Design) and Informatics departments. The aim of the project is to create a predictive algorithm from UCB’s historical database to provide the Medicinal Chemistry team with drug design suggestions in current therapeutic projects.Programming languages: Python/R/CypherSoftware: KNIME/Neo4j/Spotfire Industrial Placement YearCollaborative project between the CADD (Computer Aided Drug Design) and Informatics departments. The aim of the project is to create a predictive algorithm from UCB’s historical database to provide the Medicinal Chemistry team with drug design suggestions in current therapeutic projects.Programming languages: Python/R/CypherSoftware: KNIME/Neo4j/Spotfire



Kent County Council

• United Kingdom
• Government Administration
• 700 & Above Employee

• Analytical Chemist

  • Jul 2014 - Jul 2014

  Exposure to a range of analytical techniques employed by the Kent Scientific Services lab to assess compliance of consumer products with EU regulations.- Ash content in meat products using atmospheric ashing- Lead acetate in hair-darkening products using Atomic Absorption Spectroscopy- Refractive index analysis of glass contaminants via microscopy using the Becke Line methodOther techniques including: IR Spectroscopy, GC, UV Spectroscopy, HPLC and MS. Exposure to a range of analytical techniques employed by the Kent Scientific Services lab to assess compliance of consumer products with EU regulations.- Ash content in meat products using atmospheric ashing- Lead acetate in hair-darkening products using Atomic Absorption Spectroscopy- Refractive index analysis of glass contaminants via microscopy using the Becke Line methodOther techniques including: IR Spectroscopy, GC, UV Spectroscopy, HPLC and MS.



Lundbeck

• Denmark
• Pharmaceutical Manufacturing
• 700 & Above Employee

• Organic Chemist

  • Nov 2013 - Nov 2013

  Synthesis of antidepressant Escitalopram.Techniques including: HPLC, LCMS and NMR Spectroscopy. Synthesis of antidepressant Escitalopram.Techniques including: HPLC, LCMS and NMR Spectroscopy.