As part of this team, you will be at the forefront of evolving the team’s offerings while assuming the following responsibilities:
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 Support:
o Support the design and delivery of advanced statistical/machine learning projects such as predictive modeling, patient journeys, HCP targeting, and HCP alerts.
o Work closely with senior consultants and data scientists to translate the clients’ business needs into statistical methodologies and be responsible for delivering the findings in clinically and commercially meaningful interpretations. Throughout the process you will apply problem solving and critical thinking, intellectual engagement, and maturity in communication.
o Proactively and independently manage agreed to tasks and timelines
Team Support:
o Support and take ownership of various internal initiatives including: project automation and standardization and team building.
o Support the team by helping to execute new offerings
Qualifications
BA/BSc preferably related to life sciences, chemistry, economics, business, engineering, mathematics, statistics, or computer science. A postgraduate qualification in life sciences, statistics or a related discipline is desirable although not essential.
2-4 years experience
Desired Skills
Demonstrable analytical, interpretative, and problem-solving skills and ability to contribute to analytics projects so that deadlines are met while retaining consistently high-quality deliverables (powerpoint and excel skills required)
A friendly professional demeanor and ability to excel in a team-oriented environment and demonstrate motivation and good judgment in taking initiative, working autonomously, and asking for assistance
Excellent communication skills, a can-do, positive attitude, and the ability to communicate positively and effectively to a wide range of stakeholders
Experience in healthcare/life sciences industry
Experience or desire to upskill in the application of GenAI/agentic solutions, statistics/machine learning in healthcare/life sciences, and/or pharmaceutical industry
Experience of working in multi-disciplinary teams
Knowledge or interest in key issues and current developments in the healthcare and life sciences industries
Experience analyzing and interpreting various types of patient level data preferred
Experience with SQL/Python coding preferred
IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com
IQVIA is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other status protected by applicable law. https://jobs.iqvia.com/eoe
IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.
The potential base pay range for this role, when annualized, is $67,800.00 - $169,600.00. 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.