Conduct rigorous chemical analysis of raw materials, intermediates, and finished skincare products to ensure they meet stringent quality standards and specifications.
Develop and optimize new skincare formulations, leveraging expertise in skincare science and product development to create innovative and effective products.
Implement and maintain robust quality control procedures throughout the manufacturing process, identifying and resolving any deviations or issues.
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Chemical Analysis
Formulation Development
Quality Control
Research and Development
Laboratory Techniques
Spectroscopy
Chromatography
Product Development
Skincare Science
Regulatory Compliance
Area A — Scientific ML & PINNs Methodology Origination: Originate and advance PINNs methodology — design physics-constrained loss function architectures, validate digital twin ML components against domain physics (with storage domain expert), and deliver validated prototypes with complete technical documentation to implement. As the sole PINNs methodology originator on the team — this capability cannot be delegated or substituted.
Area B — Uncertainty Quantification & Bayesian Experimental Design (hold one of B or C): Lead research into Bayesian deep learning, active learning acquisition function design, ensemble uncertainty methods, and Bayesian experimental design frameworks for autonomous experiment selection. Transfer validated acquisition function designs for active learning pipeline integration.
Area C — Causal ML & Reliability Modeling (substitute for B if reliability-focused): Own causal inference framework product development for reliability root cause analysis — structural causal model (SCM) design, causal discovery, and causal intervention planning for product development improvement.
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Area A — Scientific ML & PINNs Methodology Origination: Originate and advance PINNs methodology — design physics-constrained loss function architectures, validate digital twin ML components against domain physics (with storage domain expert), and deliver validated prototypes with complete technical documentation to implement. As the sole PINNs methodology originator on the team — this capability cannot be delegated or substituted.
Area B — Uncertainty Quantification & Bayesian Experimental Design (hold one of B or C): Lead research into Bayesian deep learning, active learning acquisition function design, ensemble uncertainty methods, and Bayesian experimental design frameworks for autonomous experiment selection. Transfer validated acquisition function designs for active learning pipeline integration.
Area C — Causal ML & Reliability Modeling (substitute for B if reliability-focused): Own causal inference framework product development for reliability root cause analysis — structural causal model (SCM) design, causal discovery, and causal intervention planning for product development improvement.
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Assay Development & Validation - Develop, evaluate, optimise and validate novel molecular and genomic diagnostic assays and workflows (across molecular microbiology and human genetics disciplines). This includes benchmarking of new instrumentation, sequencing technologies and bioinformatic software.
Analyze and troubleshoot molecular and genomic data and optimise assay parameters to ensure robust and reproducible performance.
Execute analytical and clinical validation protocols in accordance with laboratory accreditation standards, and maintain accurate records for downstream clinical interpretation and reporting.
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Bring ideas to life - by supporting the rollout of the NCIS Education and Research Communications Strategy to align engaging learning opportunities and scientific knowledge dissemination with institutional goals, and collaborating with education and research leads and various NCIS stakeholders to brainstorm innovative educational and communication initiatives.
Shape learning and communication journeys - by assisting in the design of education roadmaps covering clinical, research, and patient-focused initiatives and projects.
Coordinate cross-departmental education and research communication programmes - by collaborating with NCIS clinical, research, nursing, and allied health teams to schedule and organise training activities, scientific presentations, and knowledge-sharing events, manage logistics including programme scheduling and registration, and facilitate stakeholder communication to ensure efficient delivery.
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Structured Training in Assay Transfer: Learn and executein-vitro biochemical and immunochemical assays (e.g., ELISA) designed to replace conventional live-fish release testing for Quality Control.
Diagnostic Analytical Support: Receive training on sample collection protocols, diagnostic testing workflows, and the measurement of specific antibody responses following vaccination.
Laboratory Automation Digital Integration: Partner with scientists for programming and operating parameters for automated liquid-handling systems and analytical instrumentation as assay methodologies mature.
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Great opportunity for personal and professional development.
Be responsible for all Aquatic Animal Health RD projects carried out by and at our Animal Health (AH) Innovation following agreed plans, milestones and company guidelines and following regulatory requirements for product registration globally
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Support the preparation, development, and update of promotional and non-promotional materials (e.g., detailing aids, brand leave-behinds, campaign visuals, digital assets) to drive planned messaging across touchpoints.
Coordinate with agencies/vendors to manage artwork revisions, proofreading, and layout refinements
Conduct background data gathering (clinical studies, guidelines, competitor content, disease insights) to support material creation.
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