Scheduling Optimisation Lead (KTP Associate)

The duties of the post will include:

• Designing and implementing a heuristic scheduling engine to automate a multi-variable compounding workflow
• Building a simulation environment & testing baseline algorithms (e.g. EDF, SJF)
• Evaluate advanced methods (e.g. eMLP & matching theory, Delana-Chen-Peng or relevant)
• Effectively interfacing with Roseway’s proprietary software
• Successfully integrating a scheduling optimisation tool into live operations
• Communicating and developing relationships with key stakeholders

These duties are a guide to the work that the post holder will initially be required to undertake. They may be changed from time to time to meet changing circumstances.

Benefits

As a KTP Associate, the post will offer the following benefits:

• A personal development budget of £4,333 (exclusive of salary).
• Management training and mentoring by an Innovate UK KTP Adviser.
• An interesting and challenging role, with exposure to a variety of stakeholders.
• Full access to university resources to complete the project.
• World-leading Academic and Company project supervision, with project support by a dedicated, sector leading KTP Office.

Person Specification

Qualifications /Training

The successful candidate should have the following:

Essential

• MSc in Computer Engineering, Electrical/Electronic Engineering, Computer Science, Data Science, Software Engineering, or a related field.

Desirable

• PhD in Computer Science, Computer Engineering or related field.

Experience/Knowledge

The successful candidate should have the following:

Essential

• Programming skills in at least one of: Python, MATLAB, C++ or Java.
• Previous experience in technical writing and preparation of reports and documentation.
• Practical experience with IoT platforms and system integration.

Desirable

• Understanding of data privacy, ethics, and regulatory compliance in sensitive environments.
• Mathematical modelling techniques for Resource Scheduling.

Skills/Abilities

The successful candidate should have the following:

Essential

• Strong analytical and problem-solving skills, with the ability to work both independently and as part of a team, with effective communication across interdisciplinary teams.
• Excellent communication skills to express ideas effectively, orally and in writing to articulate complicated matters between the academics and the company project team members.
• An ability to work to tight deadlines with diligence, attention to detail, and maintain high standards of work.

Desirable

• Skilled in data handling: collection, cleaning, pre-processing, and data analysis.
• Software development experience: version control, collaborative coding, and designing user-facing applications.

Other

• Can meet the requirements of UK ‘right to work’ legislation*

The work location is in Central London:

Roseway Labs
40 Clifton Street
London
EC2A 4DX

Hybrid working arrangements can be considered for this role. A typical working pattern involves 1 to 2 days working from home per week.

This project will be comprised of two distinct but interdependent innovations / workstreams. Workstream 1 will involve mathematical optimisation and machine learning techniques to automate the complex task of laboratory scheduling, which is currently significantly inefficient and uses the FIFO principle. An academic paper has been published on this approach and suggested alternative equations that could significantly improve delivery times.

The Scheduling Optimisation Lead will work in parallel with another KTP associate based at Roseway Labs, who will be responsible for AI-Assisted Formulation (Workstream 2)

Both workstreams will be integrated into the company’s software platform, eRoseway, embedding new technical capabilities and enabling future automation across other business functions. The project is innovative in its application of AI and optimisation techniques within a regulated pharmaceutical setting and will position Roseway as a leader in tech-enabled compounding pharmacy.