• Leading experimentation and analytical strategy across product, growth, monetization, marketing, and operational initiatives, often simultaneously • Applying causal inference methodologies (difference-in-differences, synthetic controls, propensity methods, Bayesian experimentation) to real business questions where traditional A/B testing may not be feasible • Partnering directly with directors and senior leaders to frame complex, cross-functional challenges and translate findings into clear recommendations that drive action • Improving experimentation frameworks, metrics strategy, and analytical rigor across teams — developing scalable approaches for measurement, segmentation, forecasting, and incrementality • Influencing roadmap prioritization and business strategy through rigorous analysis and precise communication of tradeoffs and uncertainty • Mentoring and upskilling data scientists and analysts across the organization on experimentation, causal inference, and statistical best practices • Partnering with Engineering, Product, and ML teams on instrumentation, data infrastructure, and analytics tooling • Integrating generative AI tools into daily workflows to automate tasks, foster innovation, and maximize analytical productivity

Role Description We are recruiting a Lead Data Scientist – Healthcare Analytics (m/f) to strengthen our team in USA working remotely. - Lead the evolution of data-driven healthcare products by identifying opportunities to enhance algorithms. - Guide end-to-end model development and translate outputs into actionable insights that improve patient outcomes. - Collaborate closely with cross-functional teams and health plan stakeholders to align product capabilities with business needs. - Establish frameworks to measure and continuously improve performance. - Drive product implementation and client success by building strong partnerships, leading deployments, and ensuring adoption across clients. - Act as a strategic advisor, helping customers translate insights into effective interventions. - Optimize outcomes and scale impact through continuous improvement and measurable business results. Qualifications - Bachelor's degree in Computer Science, Informatics, Information Systems, or a related quantitative field. - Minimum of 5 years of hands-on experience in data science, machine learning, and AI-driven product development. - Minimum of 5 years of experience working with teams across health plans, health systems, or similar domains (e.g., pharmacy management, population health, HEOR, finance, actuarial, risk management, or product) to identify problems solvable through data and drive analytics adoption. - Minimum of 5 years of experience within health plans, PBMs, health systems, pharmacies, and/or digital health organizations. - Minimum of 3 years of experience leading analytics product development, implementation, or client transformation initiatives. - Minimum of 2 years of experience in pharmacy and/or medical drug benefit management, with a strong understanding of healthcare economics. - Excellent verbal and written communication skills, with the ability to translate complex technical concepts for non-technical audiences. - Familiarity with the digital health product landscape across health plans, pharma, and PBMs. - Previous startup experience is a plus. - Fluent in English (mandatory). Benefits - Flexibility in the work regime (remote). - Regular follow-up plan. - Participation in projects with innovative technology and an international dimension. - Remuneration compatible with demonstrated experience, health insurance, and life insurance. - Birthday day and Referral Award. Company Description Movilges IT Consulting has more than 30 years of experience in the Spanish market, specializing in Logistics, Mobility, and IT, offering consultancy services, application development, and system maintenance. - In Portugal, we are present in different sectors, such as technology, health, public administration, energy, services, banking, and insurance.

Role Description We are seeking a Head of Data to lead Perci Health’s data capability at a pivotal moment in our growth. This role is responsible for building the foundations of a world-class data function - establishing infrastructure, governance, and insight capability that enables Perci to deliver increasingly personalised, evidence-led cancer care. Sitting within the Technology team and reporting directly to the CTO, it is a senior leadership role that will directly shape our product roadmap, clinical outcomes, and commercial strategy. We are preparing for a significant fundraise later this year, and as we move into a later stage of growth we will want people who are ready, willing, and able to scale up their teams - to hire, to manage, and to grow. Key Responsibilities - Define and own Perci’s data strategy, roadmap, and governance framework, ensuring data is treated as a core organisational asset. - Build and lead a high-performing data team — including data engineers, analysts, and data scientists — scaling the function in line with business growth. - Establish and maintain robust, scalable data infrastructure and pipelines that support both clinical and commercial needs. - Partner closely with the clinical, product, and commercial teams to translate data into actionable insights that drive better patient outcomes and business performance. - Lead on data governance, privacy, and compliance — including GDPR, NHS Data Security Standards, and other relevant healthcare regulations. - Develop and own our approach to clinical data and real-world evidence, enabling Perci to demonstrate impact and support research partnerships. - Drive the adoption of data-driven decision-making across the organisation, supporting a culture of measurement, experimentation, and learning. - Work with the CTO and leadership team to define key metrics, build reporting infrastructure, and provide board-level data visibility. - Identify and evaluate opportunities to leverage AI and machine learning to enhance Perci’s clinical and operational capabilities. - Represent data at the leadership level, contributing to fundraising narratives, investor reporting, and due diligence processes. Qualifications - Proven experience in a senior data leadership role (Head of Data, VP Data, or equivalent) in a fast-paced, data-intensive environment — ideally in healthtech, digital health, or a regulated industry. - Strong technical grounding in data engineering and analytics, with hands-on experience with modern data stacks (e.g. dbt, Snowflake, BigQuery, Looker, or similar). - Experience building and scaling data teams from an early stage, including hiring, developing, and retaining talent. - Solid understanding of data governance, privacy regulations (GDPR), and information security in a regulated or clinical context. - Demonstrated ability to translate complex data into clear insights for non-technical stakeholders, including senior leadership and board. - Strategic thinker with strong commercial acumen — able to connect data capability to business outcomes and fundraising narratives. - Proven ability to operate autonomously in a high-growth startup environment, balancing strategic priorities with hands-on delivery. Requirements - Experience working with clinical or patient-level data, including real-world evidence, clinical outcomes data, or NHS datasets. - Familiarity with healthcare data standards (e.g. HL7, FHIR) or NHS Data Security and Protection Toolkit requirements. - Experience contributing to Series A/B fundraising processes, including preparing data rooms and investor-facing analytics. - Background in applying machine learning or AI within a product or clinical context. Benefits - 30 days of annual leave per year, in addition to UK statutory and public holidays. - 3 days paid annually to volunteer with a charity or community group of your choice. - Access to the YuLife wellbeing app. - Company laptop and any additional equipment required for the role. - Access to Perci's pension scheme. - Income protection cover. - Enhanced company sick pay. - Enhanced maternity and adoption pay (primary carer): 20 weeks at full pay, 16 weeks at 25%. - Enhanced paternity and adoption pay (secondary carer): 6 weeks at full pay, followed by 6 weeks at 50% of pay. - Access to over 400 co-working spaces across the UK. - Remote first working, supporting genuine work-life balance. - Employee Share Option Incentivisation.

• Develop and implement data science and AI models for industrial use cases • Translate business problems into analytical approaches and practical solutions • Perform data exploration, data preparation and feature engineering • Work closely with Data Engineers to ensure data availability and usability • Collaborate with business stakeholders to understand needs and ensure business relevance • Support the deployment of models into production environments • Monitor and improve model performance over time • Contribute to the development of scalable AI capabilities and best practices • Communicate results, insights and recommendations in a clear and business-oriented way • Support decision-making, process optimization and the development of new business capabilities through data and AI solutions