Sr. Data Associate, Data Management Science

Location:  remote, United States Category: Data Science

Description

Sr. Data Associate, Data Management Science

Job Title:

Sr. Data Associate, Data Management Science

Department / Cost Center:

Data Management Science / cc256

Reports to (Job Title):

Director, Data Management Science

Job Code:

 

Location:

Preferable San Rafael or Brisbane

(Remote / Flexible allowed dependent on candidate)

Date Prepared:

OCT-2025

 

 

Full-Time     Part-Time

 

 

Regular     Temporary

 

 

Exempt     Non-Exempt

 

 

OVERVIEW: Data Science, Data Management Science (DMS)

BioMarin is the world leader in delivering therapeutics that provide meaningful advances to patients who live with serious and life-threatening rare genetic diseases. We target diseases that lack effective therapies and affect relatively small numbers of patients, many of whom are children. These conditions are often inherited, difficult to diagnose, progressively debilitating, and have few, if any, treatment options. BioMarin aims to improve life and health outcomes for people with rare diseases by advocating the use of innovative BioMarin therapeutics, advancing the standard of care, and providing personalized support and services globally. 

BioMarin Global Data Science (GDS) is responsible for designing, capturing, analyzing, and presenting data that can drive key decisions for Clinical Development, Medical Affairs, and other business areas of BioMarin. With a quality-by-design culture, GDS builds quality data that is fit-for-purpose to support statistically sound investigation of critical scientific questions. The GDS team develops solid analytics that are visually relevant and impactful in supporting key data-driven decisions across BioMarin.

The GDS Data Management Science (DMS) group contributes to Global Data Science by providing complete, correct, and consistent analyzable data at data, data structure and documentation levels following international standards and GCP. The GDS DMS Operations sub-function is responsible for the efficient and effective delivery of complete, correct, and consistently fit-for-purpose data sets for statistical analysis across all clinical development and post-approval programs. The team brings a focus on process improvement through innovation and the application of best practices to the oversight and execution of all program-related data management activities such as Protocol review, Case Report Form (eCRF) development, Data Management Plan development, Data Validation Plan development, requirement specifications, reconciliations, and data validation activities to ensure data integrity and data quality.

The Senior Data Associate supports the Clinical Program and acts as the GDS DMS Study Lead in the execution of assigned data management tasks.

 

SUMMARY DESCRIPTION

The GDS DMS Operations Sr. Data Associate role is a Study Lead role.  The Sr. Data Associate participates in all study-related data management activities, including Protocol review, eCRF development, Data Management Plan development, Data Validation Plan development, reconciliations, and the delivery of complete, correct, and consistently fit-for-purpose study datasets for statistical analysis.

The Sr. Data Associate may also act as Process Improvement / Departmental Initiative contributor, as needed.

 

 

KEY RESPONSIBILITIES:

Sr. Data Associate may participate in all, or part of the following activities as delegated by the GDS Data Management Science Operations Program Lead.

 

Program Planning and Execution:

  • Draft Case Report Form (eCRF) in a concise, self-explanatory, and user-friendly format. Collaborate with study team colleagues to ensure eCRF completion guidelines/instruction are accurate
  • Draft Data Management Plan outlining key Data Management activities and deliverables
  • Collaborate with Clinical Programming and Data Quality Science and facilitate the completion of the Data Validation Plan
  • Conduct appropriate ongoing/periodic data validation activities, including reviews of data listings, discrepancies- and the related follow up on management of queries with investigators
  • Draft data transfer specifications
  • Conduct SAE reconciliation activities
  • Maintain data transfer calendar requirements
  • Post listings/reports/profiles to study file locations
  • Reconcile external data, including drafting data transfer specifications and header data
  • Maintain and track timeline, discrepancies, query resolution, and deliverable status
  • Track data flows and data review status
  • Maintain Trial Master File (eTMF) updates for all data management deliverables

Subject Matter Expertise

  • Participate in initiatives aimed at expanding Global Data Science and Data Management Science capability in a designated area of expertise, such as CDISC/CDASH, central labs, local labs, Artificial Intelligence (AI), ePRO, imaging, RWE, Risked Based Quality Management (RBQM), etc. by building best practices in processes, tools, templates, or other guidance for the subject area.

 

COMPETENCIES

Decision Making, Critical thinking and Problem Solving, such as skill in the ability to gather data and input, using multiple sources if applicable, to develop holistic understanding of problems and propose comprehensive solutions.

Influence, Cross-Functional Collaboration and Organizational Awareness, by seeking opportunities to interact with peers and stakeholders; builds a network of internal and external peers.

Agility and Proactivity, by being able to demonstrate resourcefulness to find, and resolve to be comprehensive in obtaining, information needed for complete and timely closeout of tasks and deliverables.

Leadership, such as skill in clearly communicating objectives, goals, and expectations to othersEmerging understanding of study team roles and responsibilities and how they contribute to overall priorities; recognizes opportunities to improve study deliverables to support the organization.

 

Communication, including an ability to respond promptly to stakeholders, peers, and management with clear and organized messages and ensures that important information is shared in a timely manner.

 

Strategic Thinking and Planning, such as an ability to focus on performance measurement to track progress toward objectives.

Operations, such as being able to demonstrate basic understanding of how programming supports study execution phases; ask questions and seek guidance to clarify understanding and priorities. Experienced with clinical data programming and able to review and evaluate clinical data.  Communicates design/specifications in an unambiguous manner and adjusts communication as per context.

General data management science skills, such as the development of comprehensive data validation plans in accordance with standards/SOPs; consistently approaches data validation and data quality planning with a focus on process improvement.  Understands the objectives/purpose of each drug development phase (I-IV) and the related key cross-functional deliverables.  Demonstrates basic knowledge of relevant products(s), the disease/condition that the product(s) treat, mechanism of action, efficacy, safety profile, and development status.  Familiar with key medical coding terms and reporting formats; able to review and identify potential issues based on coding.

 

 

CAREER DEVELOPMENT

BioMarin offers comprehensive career development programming, including guidance, targeted training opportunities, and mentorship programming. A career development pathway for GDS Data Management Science has been defined and is available to employees of BioMarin.

 

PEOPLE MANAGEMENT

The Sr. Data Associate will be an individual contributor. This position will contribute to and make an impact on project or study team outputs.

 

 

EDUCATION AND EXPERIENCE

  • MA degree preferred, or BA/BS degree with a focus in statistics, computer science, life science, or related scientific discipline
  • 2+ years of experience in clinical development, including technical experience within and outside of Data Management, with MS; 5+ years with BS

 

WORK ENVIRONMENT / PHYSICAL DEMANDS / TRAVEL

The employee may frequently be required to sit and talk or listen. The employee is occasionally required to stand; walk; use hands to finger, handle, or feel; reach with hands and arms; climb or balance; stoop, kneel, crouch, or crawl; and taste or smell.  The employee must occasionally lift and/or move up to 25 pounds. Specific vision abilities by this job include close vision, depth perception and ability to adjust focus.

 

EQUIPMENT

Computer work utilizes common business software programs and hardware solutions.

 

CONTACTS

This position will interact with a range of personnel across the BioMarin organization, including but not limited to other Global Data Science and Data Management Science personnel.