Eikon Therapeutics is a new biopharmaceutical company employing revolutionary technology at the intersection of chemistry, engineering, computation, and biology to discover novel treatments for life-threatening diseases. Eikon’s discovery platform is built on groundbreaking innovations from its founders (Nobel Prize, 2014), culminating in the creation of microscopes which enable real time, molecular-resolution measurements of protein movement in living cells, thereby unlocking otherwise intractable classes of proteins as drug targets. Position We are seeking a highly skilled and motivated Manager, Statistical Programming, to join our dynamic team. In this role, you will play a crucial part in our mission to develop innovative solutions that bridge the gap between biology and technology. As a Manager of Statistical Programming, you will be responsible for statistical analysis and programming activities, ensuring the integrity and accuracy of data-driven insights that drive our research and development efforts. This role will require a minimum of 3 days a week of onsite presence (or more as business needs require) in our New Jersey office to ensure effective management, operational excellence and high-performance delivery of clinical studies and to support the expected significant team growth & collaboration. About You You possess significant experience in statistical programming within the biotechnology, pharmaceutical, or healthcare industry, proficiency in programming languages commonly used in statistical analysis (e.g., SAS, R, Python), and strong leadership and team management skills. You demonstrate excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams, as well as knowledge of regulatory guidelines (e.g., FDA, EMA) and industry standards for statistical programming. You have demonstrated problem-solving abilities, attention to detail, ability to adapt to a fast-paced and dynamic work environment, and commitment to maintaining the highest standards of data quality and integrity.