As part of this team, you will be at the forefront of evolving the team's offerings while assuming the following responsibilities: Note: This role is ideal for professionals who enjoy solving business problems and working with clients. You will act as the liaison between clients and technical teams, helping define use cases, prioritize requirements, and translate complex analytical concepts into actionable business recommendations, rather than performing hands-on data science or machine learning development. Essential Functions • Business Development Support: o Research clients' business problems and find potential solutions through our offerings, while supporting proposals and client pitches. Work closely with internal stakeholders from around the business to ensure the proposed solution is truly innovative and provides an exciting value proposition to clients. • Project Manager & Mentor: o Oversee the design and delivery of advanced statistical/machine learning projects such as predictive modeling, patient journeys, HCP targeting, and HCP alerts. You will be responsible for multi-disciplinary projects involving other consultants, data scientists, developers, and clinical experts to translate clients' business needs into analytical problems and deliver the findings in clinically and commercially meaningful interpretations. Throughout the process, you will apply problem solving and critical thinking, intellectual engagement, project management, and maturity in communication. o Serve as project manager and lead larger or more complex customer projects dependent on AIML solutions/offerings. This includes managing timelines, project staff, margins, issue resolution, and creating/reviewing and presenting relevant project materials (e.g., methodology documentation, PowerPoint presentations for client meetings, etc.) o Manage, mentor, and teach junior staff directly on projects o Establish strong credibility and build a relationship with the customer • Team Support: o Supports creation of project road maps required to deploy completed solutions; contributes to product improvements and growth through regular feedback to Product Owners o Support the team by helping to scope and execute new offerings and establish best practices to share with the broader team o Support and take ownership of various internal initiatives including: project automation and standardization, mentorship of new employees, recruitment, thought leadership, and team building. Qualifications • BA/BSc preferably related to life sciences, chemistry, economics, business, engineering, mathematics, statistics, or computer science • 6-8 years experience • A postgraduate qualification in life sciences, statistics or a related discipline is desirable although not essential Desired Skills • Strong capability in managing analytics projects and priorities so that deadlines are met while retaining consistently high-quality deliverables • Interest in working on GenAI/agentic workstreams • Experience in healthcare/life sciences with focus on strategic business cases for analytics services or products • Experience analyzing and interpreting various types of patient level data preferred • Basic ability to extract, transform, analyze data through SQL/python helpful, but not required • A deep understanding of the application of statistics/machine learning in healthcare/life sciences and the pharmaceutical industry or excitement to upskill in these areas • Ability to think through and effectively communicate analytical and clinical concepts and problems • Experience managing multi-disciplinary teams • Experience developing credible relationships with senior level managers and executives • Knowledge of key issues and current developments in the healthcare and life sciences industries • Strong PowerPoint and Excel skills, ability to storyboard and translate technical concepts into clear, concise messaging for various customer audiences The potential base pay range for this role, when annualized, is $111,400.00 - $278,500.00. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.