Consultant- Real World Data
3 weeks ago
About Acuitas360Acuitas360 is a strategic consulting firm dedicated to driving commercial success for life sciences companies. Our Insights & Analytics team helps clients unlock value from real-world data by delivering actionable insights that guide commercial, clinical, and operational decision-making.We are a fast-growing team of problem solvers, data scientists, and domain experts working at the intersection of data and healthcare. Our work helps shape better outcomes for patients, providers, and the life sciences industry.Role SummaryAs a Consultant – RWD, you will take a lead role in managing and delivering real-world data analytics projects for global pharma and biotech clients. You will own key workstreams, directly engage with client stakeholders, and guide teams in designing and executing data-driven solutions to address commercial and clinical challenges.This role is ideal for professionals with deep analytical expertise, client-facing experience, and a passion for healthcare innovation.Key Responsibilities- Lead RWD analytics projects from scoping to delivery, driving high-quality execution and client satisfaction. - Partner with clients to understand their business needs and design appropriate analytical approaches using real-world data (claims, EMR, etc.). - Generate insights related to treatment patterns, patient journey, line progression, and outcomes. - Oversee development of dashboards, data visualizations, and client-ready reports using tools like Tableau, Power BI, Excel, and PowerPoint. - Manage project timelines, resourcing, and stakeholder communication across multiple projects. - Mentor junior team members and contribute to internal capability building in the RWD domain. - Support proposal development, thought leadership, and strategic initiatives within the firm.What You Will Bring- 5–8 years of experience in analytics, consulting, or data science within the healthcare/life sciences industry. - Demonstrated experience working with real-world data such as medical/pharmacy claims, electronic medical records, or patient registries. - Strong proficiency in SQL and at least one statistical language (Python, R, or SAS). - Solid understanding of epidemiology, observational research, or HEOR principles. - Proven experience in leading project workstreams, managing client relationships, and delivering business impact through data. - Educational background: MBA, MSc, or equivalent with a Bachelor's or advanced degree in Engineering, Life Sciences, Pharmacy, Statistics, or other quantitative disciplines. - Excellent communication and presentation skills, with the ability to translate data into clear and compelling narratives. - Prior experience in project management and agile delivery frameworks is a plus.Why Join Acuitas360- Make a direct impact on strategic decisions in the life sciences industry through real-world evidence. - Work with global pharma and biotech leaders in a high-growth, entrepreneurial environment. - Continuous learning through hands-on experience, mentorship, and structured training. - Flexible work model, competitive compensation, and a collaborative team culture. - Opportunity to grow into leadership roles in a dynamic and supportive setting.
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Associate Consultant- Real World Data
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New Delhi, India Acuitas360 Full timeAbout Acuitas360 AtAcuitas360 , we are a specialized life sciences consulting firm driven by a passion for advancing patient impact through data and analytics. OurInsights & Analyticsgroup partners with global pharmaceutical and biotech clients to solve complex commercial and clinical challenges using real-world data, predictive modeling, and deep domain...
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Associate Consultant- Real World Data
3 weeks ago
New Delhi, India Acuitas360 Full timeAbout Acuitas360At Acuitas360, we are a specialized life sciences consulting firm driven by a passion for advancing patient impact through data and analytics. Our Insights & Analytics group partners with global pharmaceutical and biotech clients to solve complex commercial and clinical challenges using real-world data, predictive modeling, and deep domain...
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