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<source><publisher><![CDATA[Pop Science]]></publisher><company><![CDATA[Pop Science]]></company><publisherurl><![CDATA[http://www.pop-science.co.uk/]]></publisherurl><job><title><![CDATA[Associate Director, Strategic Consultant]]></title><publisher><![CDATA[Pop Science]]></publisher><publisher/><publisherurl><![CDATA[http://www.pop-science.co.uk/]]></publisherurl><publisherurl/><company><![CDATA[Pop Science]]></company><sourcename><![CDATA[Pop Science]]></sourcename><date><![CDATA[2026-08-27 09:12:40]]></date><referencenumber><![CDATA[1828]]></referencenumber><url><![CDATA[https://www.pop-science.co.uk/index.php?option=com_recmgr&view=job&jid=1828&Itemid=986&utm_source=indeed]]></url><email><![CDATA[info.447368744.0@applybe.com]]></email><city><![CDATA[New Jersey]]></city><country><![CDATA[Rest of World]]></country><description><![CDATA[<p><strong> We are delighted to be recruiting for an Associate Director, Strategic Consulting (Clinical Trial Innovation) to join one of our clients.  </strong></p><p><strong> Location: </strong>  USA North East </p><p><strong> Department: </strong> Professional Services / Customer Success</p><p><strong> Reports To: </strong> Head of Strategic Consulting</p><p><strong> Position Overview </strong></p><p>We are seeking an <strong>Associate Director, Strategic Consulting</strong> to serve as the critical bridge between our clients' AI technology and our clients' clinical operations. This is not a traditional IT implementation role; it is a high-impact, consultative position focused on <strong>client discovery, process re-engineering, and long-term software adoption strategy</strong>.</p><p>You will partner with enterprise biopharma sponsors and CROs to deeply understand their current trial workflows, uncover inefficiencies, and architect change-management blueprints that embed our AI platform into their daily operational DNA.</p><p><strong> Key Responsibilities </strong></p><ul>
<li><strong> Deep Client Discovery: </strong> Lead comprehensive discovery workshops with executive sponsors, clinical operations leaders, and data scientists to assess their current-state trial processes, pain points, and strategic goals.</li><li><strong> Business Process Re-Engineering (BPR): </strong> Analyze legacy clinical workflows and design future-state operating models that maximize the value of our AI software. Map out data flows, user journeys, and procedural changes.</li><li><strong> Adoption & Change Management Strategy: </strong> Author robust, tailored adoption strategies for clients. Develop change management frameworks, communication plans, and governance structures to overcome user friction and drive high platform utilization.</li><li><strong> Value Realization & Metrics: </strong> Define, track, and report on key performance indicators (KPIs) and ROI metrics (e.g., cycle-time reduction, cost savings, patient enrollment velocity) to demonstrate the tangible impact of our platform to client executives.</li><li><strong> Cross-Functional Collaboration: </strong> Serve as the "voice of the customer" for our Product, Engineering, and AI Research teams, translating client feedback and workflow realities into actionable product roadmap enhancements.</li><li><strong> Thought Leadership: </strong> Act as a trusted advisor within the clinical trials ecosystem, staying ahead of industry trends (e.g., decentralized trials, synthetic control arms, regulatory shifts regarding AI) and sharing insights through case studies or industry forums.</li></ul>
<p><strong> Required Qualifications & Experience </strong></p><ul>
<li><strong> Experience: </strong> Strong experience in the CRO or pharma space leading change initiatives, or management consulting (Life Sciences practice), clinical operations strategy, or a strategic implementation role at an eClinical/Life Sciences software company.</li><li><strong> Clinical Trials Domain Expertise: </strong> Deep understanding of the clinical trial lifecycle (Phase I-IV), protocol design, site monitoring, regulatory compliance (GCP/ICH), and standard trial data structures.</li><li><strong> Proven Discovery & Mapping Skills: </strong> Demonstrated expertise in leading stakeholder interviews, facilitating workshops, and using process-mapping tools (e.g., Miro, Lucidchart, Visio) to redesign complex enterprise workflows.</li><li><strong> Change Management Prowess: </strong> Proven track record of successfully driving technology adoption and behavioral change within conservative or highly regulated corporate environments.</li><li><strong> Tech-Savviness: </strong> A strong conceptual understanding of how AI, machine learning, and natural language processing (NLP) can be applied to data analytics and automation (no coding required, but you must be able to "speak AI").</li><li><strong> Education: </strong> Bachelor's degree in a life sciences, engineering, or business discipline required or equivalent combination of education and experience</li></ul>
<p><strong> Core Competencies </strong></p><ul>
<li><strong> The Consultative Mindset: </strong> Exceptional active listening skills with the ability to ask the right probing questions to uncover root-cause operational bottlenecks.</li><li><strong> Executive Presence: </strong> Comfort presenting to and influencing C-suite and VP-level stakeholders within global pharmaceutical companies.</li><li><strong> Ambiguity Tolerance: </strong> Thrives in a fast-paced, evolving startup environment where processes are still being defined and refined.</li><li><strong> Analytical Rigor: </strong> Ability to translate qualitative client feedback and quantitative platform data into structured, strategic recommendations.</li></ul>
<p>Contact Gail Kniveton for more information </p>]]></description><salary><![CDATA[£0 per year]]></salary><jobtype><![CDATA[Temporary / Contract]]></jobtype><category><![CDATA[Clinical Research]]></category></job><job><title><![CDATA[Senior Data Analyst CVM]]></title><publisher><![CDATA[Pop Science]]></publisher><publisher/><publisherurl><![CDATA[http://www.pop-science.co.uk/]]></publisherurl><publisherurl/><company><![CDATA[Pop Science]]></company><sourcename><![CDATA[Pop Science]]></sourcename><date><![CDATA[2026-09-11 09:43:58]]></date><referencenumber><![CDATA[1829]]></referencenumber><url><![CDATA[https://www.pop-science.co.uk/index.php?option=com_recmgr&view=job&jid=1829&Itemid=986&utm_source=indeed]]></url><email><![CDATA[info.7472C99C7.0@applybe.com]]></email><city><![CDATA[Islington]]></city><country><![CDATA[UK]]></country><description><![CDATA[<p>We are delighted to be partnering with our client to look for a Senior Data Analyst (we can consider Data Analyst level too) with a strong understanding of Cardiovascular and Metabolic Disease. </p><p>Our client is a leading provider of health data, analytics and intelligence to the pharmaceutical and life sciences industry. They combine scientific expertise, data and technology to help organisations understand disease landscapes, assess opportunities and make better strategic decisions.</p><p>We are looking for an <strong>Analyst or Senior Analyst to join our Cardiovascular, Renal & Metabolic (CVRM) team</strong>, supporting the delivery of high-quality scientific and commercial intelligence to end clients. The role is remote but needs to be based in the UK with the right to work without sponsorship. </p><p><strong>The Opportunity</strong></p><p>This is an exciting opportunity for someone with strong scientific knowledge and a passion for <strong>cardiovascular, renal and metabolic diseases</strong> who wants to apply their expertise within a commercial, data-driven environment.</p><p>You will conduct in-depth research and analysis across the CVRM landscape, helping translate complex scientific and commercial datasets into clear, actionable insights for pharmaceutical and life sciences clients.</p><p>Your work will span <strong>c</strong>ustom analytics, competitive intelligence, forecasting and bespoke client projects, with opportunities to engage directly with clients and contribute to the continued development of Airfinity's CVRM analytics.</p><p><strong>What You'll Be Doing</strong></p><ul>
<li>Produce high-quality intelligence reports and analysis across the CVRM landscape.</li><li>Research emerging scientific and commercial developments.</li><li>Track clinical trials, drug candidates, competitor pipelines, launches and strategic positioning.</li><li>Support candidate assessment and whitespace/opportunity identification.</li><li>Contribute to bespoke forecasting and research projects, from planning through to delivery.</li><li>Turn complex data into compelling insights, visualisations, reports and presentations.</li><li>Present research findings and strategic insights to clients and internal stakeholders.</li><li>Develop into a trusted scientific partner for clients, bringing strong CVRM knowledge to project discussions.</li></ul>
<p><strong>What We're Looking For</strong></p><ul>
<li>A <strong>postgraduate degree in a scientific discipline</strong>, ideally with a focus on cardiovascular, renal and/or metabolic disease. A PhD is preferred, although equivalent experience will be considered.</li><li>Strong scientific research capability and genuine expertise or interest within the <strong>CVRM disease landscape</strong>.</li><li>Ideally, experience within <strong>pharmaceutical forecasting, competitive intelligence, consulting or client-facing analytical work</strong>.</li><li>Strong analytical skills with the ability to turn complex scientific information into commercially relevant insights.</li><li>Experience with <strong>data visualisation, dashboards and storytelling</strong>.</li><li>An interest in using <strong>AI tools to enhance research, analysis and insight generation</strong>.</li><li>Experience with <strong>R, SQL, Python or similar analytical tools</strong> would be beneficial.</li><li>Highly organised, detail-oriented and comfortable working independently in a fast-paced environment.</li></ul>
<p><strong>Please contact Gail Kniveton for more information. info@pop-science.co.uk +447971666239. </strong></p><p> </p>]]></description><salary><![CDATA[£40k - 50k per year]]></salary><jobtype><![CDATA[Permanent Full Time]]></jobtype><category><![CDATA[Clinical Research]]></category></job></source>
