Sr. Manager, Clinical Data Management

Neurocrine Biosciences•San Diego, CA

3d•$158,100 - $216,000•Onsite

About The Position

Neurocrine Biosciences is a biopharmaceutical company focused on discovering, developing, and commercializing treatments for neurological, psychiatric, endocrine, and immunological disorders. The Sr. Manager, Clinical Data Management manages medium-to-large commercial data assets and contracts with third-party data vendors, specialty pharmacies, and closed-door pharmacies. The role ensures data quality and appropriate data use across the organization; evaluates potential data sources; and manages data aggregators and vendor-provided patient portal solutions and dashboards. It supports Sales, Market Access, and Reimbursement teams, communicates data quality and market-event impacts, and works across Data Management, Field Operations, IT, and Commercial teams to resolve data issues and deliver complex initiatives. The position is responsible for data acquisition and contracting and for ensuring value from data-related investments. This role is expected to be on-site four days per week, Monday through Thursday. The position offers an annual bonus targeted at 30% of earned base salary and eligibility to participate in an equity-based long-term incentive program. The stated annual base salary range is $158,100 to $216,000. The company expects to make multiple hires at this level.

Requirements

Bachelor’s degree, preferably in computer science, engineering, mathematics, or another technical discipline, and 8+ years of experience with Master Data Management systems, particularly in a high-level data stewardship capacity; alternatively, a preferred master’s degree in a similar discipline and 6+ years of the specified experience.
At least 5 years of professional work experience in relevant commercial/data management and analytics within the biotechnology or pharmaceutical industry.
Experience with relational databases, data warehouse systems, CRM systems such as Salesforce.com and Veeva, and stewardship of Master Data Management systems.
Solid experience in data acquisition, onboarding, and contract negotiations.
Solid experience designing and deploying structured and ad hoc analysis and reporting and guiding junior team members.
Ability to independently lead projects and work within a matrixed, cross-functional team with competing priorities.
Strong written and verbal communication skills, including the ability to simplify complex technical issues.
Ability to partner effectively with colleagues, vendors, cross-functional peers, commercial leadership, and field-based teams.
Strong planning, organizational, problem-solving, interpersonal, analytical, and data-analysis skills; exceptional attention to detail and process orientation.
Ability to work independently and as part of a team, manage multiple projects and deadlines accurately and efficiently, and provide guidance to junior team members.
Understanding of processes, procedures, and systems used to accomplish work, including awareness of downstream impacts on other functional areas.
Ability to build relationships with senior management and influence people without direct authority.
Ability to thrive in a complex and dynamic environment.
Expert knowledge of existing and emerging data sources and vendors in the biopharma domain, including IQVIA, SHS, specialty pharmacy, and patient claims data.
Proven success in data acquisition, contracting, onboarding, and integration.
Demonstrated expertise handling patient-level data and familiarity with HIPAA laws.
Proven project-management success in major cross-functional technology projects and experience managing multiple projects simultaneously.
Proficiency with PowerPoint, Excel, and Word; working knowledge of desktop statistical packages such as SAS or similar.

Nice To Haves

Experience with business intelligence and analytical tools.
Experience developing models in Excel and VBA, using scripting languages such as SQL, and working with BI/reporting platforms such as QlikView, Tableau, or Power BI.
Experience with process mapping and legacy systems.
A master’s degree in a relevant technical discipline is preferred.

Responsibilities

Manage data contracts and acquisition with specialty pharmacies, closed-door pharmacies, and other data vendors; negotiate data purchases and qualify new vendors.
Maintain an accurate inventory of data assets and manage the budget for data purchases and associated agreements.
Manage data aggregators and aggregation processes across contracted pharmacies, including mapping pharmacy statuses and sub-statuses.
Oversee the quality and appropriate application of onboarded data supporting the commercial organization, including regular business reviews with contracted entities.
Manage vendor relationships, contracts, service-level agreements, business reviews, and vendor budgets.
Monitor data quality, address inquiries, and investigate and resolve data discrepancies, issues, and disruptions.
Develop and manage data quality control processes and reporting to identify anomalies before publication; conduct ongoing QC of production reports and test reports when changes or new data are introduced.
Ensure data and reporting in downstream applications are compliant and aligned with organizational needs and corporate strategy and goals.
Analyze the impact of data events and changes on commercial operations, including reporting, and engage business owners to agree on action plans.
Communicate with internal stakeholders about data accuracy and quality and work collaboratively to address perceived data gaps.
Advise business and commercial teams on appropriate data sources for business questions and insights.
Collaborate with Commercial Analytics and Operations, Sales, Marketing, and Market Access on data onboarding, validation, and communication of data changes affecting field-based and internal reports and systems.
Assist with development of Commercial Data Governance policies and identification of gaps in data-management processes and standards.
Manage data-centric projects through planning, resource management, execution, and communication, including data onboarding and data events or disruptions.
Build organizational awareness of commercial data assets and their uses.
Conduct ad hoc analyses as needed.
Guide junior team members and perform other duties as assigned.