You are an experienced Real-World Evidence (RWE) Analyst looking to join a small, fast-growing team at Mango Sciences, an AI-driven data aggregation and analytical engine focused on improving healthcare access and quality. In this role, you will be part of a project team that utilizes healthcare data to deliver clinical insights to clients in the pharmaceutical industry. Your responsibilities will include designing retrospective and prospective research studies, problem-solving, managing workstreams, conducting research and analysis, reviewing outputs, and presenting findings. To excel in this position, you should have an undergraduate or post-graduate degree in a quantitative discipline such as epidemiology, statistics, data science, or engineering, along with 4-6 years of relevant work experience. You should possess strong analytic and problem-solving skills, experience in the pharmaceutical industry, technical proficiency in SQL and R/Python/Other, and excellent communication abilities. Attention to detail, proficiency in Microsoft products, dedication to teamwork, and a track record of innovation are also essential. Working at Mango Sciences offers you the opportunity to be part of a team that is passionate about reimagining healthcare and making a meaningful impact on patient health outcomes. If you are someone who thrives in a dynamic, entrepreneurial environment and is committed to excellence, teamwork, honesty, and integrity, then this role is ideal for you. Join us in shaping and growing the RWE analytics function and contributing to the company's vision of using data to unlock insights into human populations never studied before.,
As a Data Scientist at Mango Sciences, you will play a crucial role in leveraging our AI-driven data aggregation and analytical engine to provide clinical insights to healthcare providers and Life Sciences Companies. By joining our fast-growing team, you will have the opportunity to work on high-impact projects and contribute to the improvement of healthcare access and quality. Key Responsibilities: - Utilize Mangos proprietary healthcare platform and data to build prediction models, focusing on clinical risk/outcomes predictions. - Contribute to problem-solving discussions, recommending appropriate deep learning/machine learning techniques. - Build and evaluate prediction models, providing assessments to internal and external stakeholders. - Provide timely updates to the management and leadership teams. Qualifications Required: - Degree in Data Science, Computer Science, Statistics, or a related field. - 3-5 years of prediction modeling work experience, with expertise in deep learning and traditional machine learning approaches. - Proficiency in Python, R, or similar languages. - Preferred knowledge of the healthcare industry (medical and pharmaceutical). - Experience in building models from scratch and working with structured and unstructured data. - Strong communication and interpersonal skills. At Mango Sciences, we value teamwork, innovation, and a commitment to excellence. By joining our team, you will have the opportunity to collaborate across functions, demonstrate your entrepreneurial spirit, and contribute to the collective goal of improving patient health outcomes.,