Operations Research Lead (EU)
ParkourSC is a Silicon Valley (US)–based software company that delivers an AI-powered platform for dynamic decision intelligence in supply-chain operations. Our digital-twin technology and AI/ML augmented analytics help organisations anticipate disruptions, optimise complex networks and make faster, real time data-driven decisions.
We are expanding and are looking for an experienced Operations Research Lead (8 + years) who combines deep mathematical-optimisation skills with hands-on implementation experience and a strong consulting track record in the life-sciences sector (pharma, biotech, chemicals or med-tech).
Your Impact
- Lead the development of optimisation-driven product features by designing, implementing and evolving scalable decision engines powering capabilities like network design, production planning, and inventory management for life-science supply chains.
- Translate strategic customer needs into robust product functionality by formulating quantitative approaches and guiding cross-functional teams (product, engineering, science) from idea to implementation in our cloud-native platform.
- Shape the product roadmap through algorithmic innovation, contributing not only models but end-to-end solutions that meet performance, usability and integration standards required for enterprise deployment.
- Mentor and guide decision scientists and engineers, setting technical direction and fostering a product-oriented mindset within the OR community at ParkourSC.
- Collaborate closely with strategic customers, especially in the life-science industry, to validate use cases, quantify value and integrate feedback directly into product development cycles.
- Stay at the forefront of the discipline by scouting emerging OR techniques (stochastic / robust optimisation, decomposition, MIP heuristics, reinforcement learning) and assessing their fit for real-world deployment.
Your Profile
- 8+ years of experience applying mathematical optimisation and simulation to real-world problems, with a focus on supply-chain domains such as network design, production planning, inventory and logistics.
- Advanced degree (PhD preferred) in Operations Research, Applied Mathematics, Industrial Engineering, or a related quantitative field.
- Proven track record in consulting or applied research for life-science clients (e.g. pharma, biotech, chemicals), delivering measurable business value.
- Deep expertise in optimisation tools (e.g. Gurobi, CPLEX, Xpress) and modelling frameworks (e.g. Pyomo, AMPL, JuMP, CVXPY); strong Python skills and familiarity with compiled languages and data workflows.
- Ability to interpret complex quantitative results and communicate clear, actionable insights in fluent spoken and written English.
- Ability to translate advanced OR methods into scalable, cloud-native product features in collaboration with product managers and engineers.
- Excellent communication and stakeholder engagement skills; fluent in English, additional language is a plus.
Why ParkourSC
- Opportunity to shape a category-leading AI platform and influence product strategy from the ground up.
- Work on cutting-edge optimisation challenges with real-time data, digital twins and large-scale cloud deployments.
- Highly collaborative, international team with a strong start-up culture.
Contact
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