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Senior Clinical Data Manager Analyst II (Option for Remote)

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Company :
Exact Sciences

Location :
Redwood City, California

Expiry Date :
Sun, 13 Dec 2020 23:59:59 GMT

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Description :
Summary Of Major Responsibilities The Senior Clinical Data Manager/Analyst II is responsible for ensuring the accurate, complete, and timely collection and delivery of assay/genomic and clinical data for analysis, reporting, and presentation. The Senior Clinical Data Manager/Analyst II acts as Lead Data Manager on complex clinical studies and projects; either independently or by directing others, provide expert BDM functional representation to study teams. Remote work option available. Essential Duties And Responsibilities – Act as Lead Data Manager on complex clinical studies and projects; either independently or by directing others, provide expert BDM functional representation to study teams. – Create, configure, and maintain novel or complex clinical study databases and related tools; including screen design, edit check development, query management, data extraction, and data management related reporting. – Program using SAS and SQL; including moderate to complex data step programming, moderate to complex macro programming, and moderate to complex data reporting. – Maintain knowledge and understanding of current team, department, and corporate-goals and priorities to ensure effective time management and focus. Assist in developing department goals. – Execute software development lifecycle practices; including requirements definition, risk assessment, and programming validation. – Exhibit consistent compliance with established department and company processes, procedures, guidelines, and best practices. – Train others on complex company processes, procedures, guidelines, and best practices, as required. – Prepare and maintain complex documentation, as required, by established departmental procedures, practices, or project-specific needs. Review documentation of peers to ensure compliance with established standards. – Interact with Exact Sciences study team members, collaborators, vendors, or partners to gather or define complex requirements, plan deliverables, and communicate progress and findings. – Train clinical site personnel and collaborators on the effective use of study-specific data management tools. – Contribute to the ongoing development and improvement of department procedures by being the primary author of complex process documents and by effectively and actively contributing to or leading process discussions. – Lead teams with well-defined objectives or interactively lead teams to establish objectives. – Provide appropriate support and coordinate with other functional areas regarding overall clinical study conduct and management; including protocol development, study start-up, study closeout, and data analysis. – Utilize knowledge of industry data management processes and procedures to effectively lead data management projects and assignments. – Programmatically combine and manipulate complex electronic data from a variety of sources. – Create specifications for and build Electronic Data Capture (EDC) study databases including edit checks and dynamic entry screens. – Participate in recruiting and hiring of staff. – Mentor coworkers; take project-level supervisory responsibilities. – Excellent oral, written, and presentation communication skills. – Excellent organization skills and detail orientation. – Ability to work as the lead data manager/analyst on complex to highly complex projects. – Ability to work closely and effectively in a team-oriented environment with colleagues from Biostatistics, Non-clinical biostatistics, Clinical Operations, Medical, Pathology, and Program Management to ensure Data Management needs and status updates are addressed and well-communicated. – Ability to deliver quality results in a timely manner, either independently or by directing others. – Ability to work effectively with coworkers, external contacts, and excellent negotiation and conflict resolution skills. – Ability to be highly effective in a fast-paced, rapid growth environment. – Ability to receive and apply feedback in a professional manner; ability to convey both positive and constructive feedback to others in a professional and effective manner. – Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork. – Support and comply with the company’s Quality Management System policies and procedures. – Regular and reliable attendance. – Ability to lift up to 10 pounds for approximately 5% of a typical working day. – Ability to work on a mobile device, tablet, or in front of a computer screen and/or perform typing for approximately 90% of a typical working day. – Ability and means to travel between Redwood City locations. – Ability to travel 10% of working time away from work location, may include overnight/weekend travel. Qualifications Minimum Qualifications – Bachelor’s degree in Life Sciences, Scientific based field, or related field. – 8+ years of related experience in data management or a related field. – Proficient in programming with SAS; including moderate to complex data step programming, moderate to complex macro programming, and moderate to complex data reporting. – Proficient with relational databases and programming complex SQL queries. – Proficient in Microsoft Office. – Demonstrated ability to perform the Essential Duties of the position with or without accommodation. – Authorization to work in the United States without sponsorship. Preferred Qualifications – Relevant post-graduate degree. We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, creed, disability, gender identity, national origin, protected veteran status, race, religion, sex, sexual orientation, and any other status protected by applicable local, state or federal law. Applicable portions of the Company’s affirmative action program are available to any applicant or employee for inspection upon request. Options Apply for this job online Apply Share Email this job to a friend Refer Sorry the Share function is not working properly at this moment. Please refresh the page and try again later. Share on your newsfeed Socialize this job opportunity to a friend, colleague, or family member: