Principal Clinical Database Systems Programmer

Mavericks Wanted

When was the last time you achieved the impossible? If that thought feels overwhelming, you might want to pause here, but if it sparks excitement...read on   In 2015, we pioneered a “moneyball for biotech” approach, pooling projects and promising early-stage research from academia together under one financial umbrella to reduce risk and unleash innovation. This model allows science and small teams of experts to lead the way. We build bridges to groundbreaking advancements in rare disease, and develop life-changing medicines for patients with unmet needs as fast as humanly possible.    Together we define white space, push boundaries, and empower people to solve problems. If you're someone who defies convention, join us and work alongside some of the most respected minds in the industry. Together, we'll ask "why not?" and help reengineer the future of biopharma. At BridgeBio, we value curiosity and experimentation—including the ethical & thoughtful use of AI to improve clarity, speed, and quality of work.

What You'll Do

The Principal Clinical Database Systems Programmer will be responsible for performing SAS or SQL data programming to execute the design, build, and maintenance of clinical data collection systems. This includes developing customized, programmed data listings and data reports/visualizations, and/or EDC study database builds. The Principal Clinical Programmer will manage the study-defined specifications and requirements to lead clinical programming activities across one or more studies for the DM Operations and Clinical Development functional areas and liaise with our biostatisticians to understand final requirements and structure of study data/database design being presented.

Responsibilities

· Creates standard and/or custom programs/reports using data analytics tools such as SAS, Tableau, or other data visualization tools to support data oversight and review by data managers or other data reviewers.

· Leads EDC database build programming, testing, and migration of CRFs and edit checks or dynamics (database specifications, etc.) using EDC platforms (e.g. Veeva Vault, Medidata Rave).

· Collaborates with clients, peers, programmers, project teams, and/or requestors to clarify and finalize data specifications; uses expanded technical skills to meet evolving project needs.

· Supports the development, delivery and maintenance of clinical data review standards, tools and systems, across various data sources (e.g., clinical data, safety and operational data).

· Supports initiatives for Data Management and Clinical Programming for clinical data review bridging and database development activities, meetings, discussions.

· Assists in the management of electronic data from external data sources/vendors in partnership with the Data Management Lead for import or integration to clinical database tools. Liaises with vendors as needed to facilitate electronic data transfers and/or data specification requirements.

· Assists in review and approval of required study documentation, including design specifications, user requirements, data transfer specifications and data standards.

· Provides leadership, training, guidance, and support to other department members on data review tools and clinical database development.

Where You'll Work

This is a U.S.-based remote role that will require quarterly, or as needed visits to our San Francisco Office. There is <10% travel anticipated for conference attendance, Biometrics/DM meetings, BBIO organization event attendance.

Who You Are

· Bachelor’s degree (or equivalent) in Science and/or Computer Systems/IT background

· Minimum 5-7 year experience in a pharmaceutical/biotech setting

· Advanced technical expertise in databases, EDC platforms (e.g. Medidata Rave, Veeva), data imports/integrations and data visualization tools (e.g. Tableau, Spotfire) and Python programming language is a plus

· Advanced programming and analytical skills using SQL, BASE/SAS, SAS/STAT, SAS MACROS

· Ability to work independently to create standard datasets, program edit checks and produce quality data review outputs

· Demonstrated understanding of CDISC and SDTM requirements and implementation guidelines, able to create and validate CDISC standard datasets

· Knowledge of ICH GCP and Good Clinical Data Management guidelines

· <10% Travel to BridgeBio Headquarters or Biometrics/DM meetings, as required