Associate Director, Clinical Data Management

<div class="content-intro"><p><span style="font-size: 12pt; font-family: arial, helvetica, sans-serif;">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.</span></p></div><p><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><strong>Position </strong></span></p> <p><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">We are seeking a highly skilled and experienced Associate Director, Clinical Data Management, to provide strategic leadership and operational oversight for our data management activities. As an Associate Director, you will play a pivotal role in driving the planning, execution, and quality assurance of clinical data management processes, ensuring the integrity, accuracy, and compliance of data throughout the research lifecycle. This role requires a minimum of 3 days per week onsite (or more, as business needs require) in either our Jersey City (NJ), or Millbrae (CA) offices.</span></p> <p><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><strong>About You</strong></span></p> <p><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">You have extensive expertise in clinical data management, including data collection, database design, and quality assurance, along with a deep understanding of industry-specific data management practices. You also have technical proficiency in data management tools and software, comprehensive knowledge of regulatory guidelines, strong leadership skills, analytical acumen, and excellent interpersonal and communication abilities to collaborate effectively with cross-functional teams and partners.</span></p> <p><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><strong>What You’ll Do</strong></span></p> <ul> <li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Leadership and Strategy: Provide strategic direction and leadership for the clinical data management team, ensuring alignment with company objectives and industry best practices.</span></li> <li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Data Management Planning: Collaborate with cross-functional teams to develop and implement data collection strategies, tools, and systems that meet study goals and regulatory requirements.</span></li> <li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Quality Control: Oversee data quality control processes, including validation, discrepancy management, and reconciliation, to ensure the accuracy and completeness of collected data.</span></li> <li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Database Management: Lead the design and maintenance of electronic data capture (EDC) systems or databases, ensuring their efficiency and capability to capture essential data elements.</span></li> <li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Data Standards and Compliance: Ensure adherence to data standards, industry best practices, and relevant guidelines throughout the data management lifecycle.</span></li> <li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Team Collaboration: Work closely with cross-functional teams, including biostatisticians, clinical researchers, and regulatory experts, to facilitate seamless data integration and analysis.</span></li> <li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Regulatory Adherence: Ensure that all data management activities are conducted in full compliance with applicable regulatory standards and guidelines.</span></li> <li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Documentation: Maintain accurate and comprehensive documentation of data management processes, decisions, and workflows.</span></li> <li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Problem-Solving: Identify and address complex data management challenges proactively, proposing effective solutions to enhance data quality and operational efficiency.</span></li> <li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Team Development: Mentor and develop data management team members, fostering their professional growth and ensuring a high level of performance.</span></li> </ul> <p><span style="fon