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Clinical Data Scientist
  • SAS
  • Tableau
  • Database
  • Power BI
  • Perl
PRA Health Sciences
115 days ago

Clinical Data Scientist

Job Locations (All) | US-RemotePosted Date 3 days ago(7/2/2020 8:46 AM)ID2020-64533


Who we are:
  • Over 525 PRA Biometrics resources currently in FTE Programs across 12 global clients
  • 86% global team retention (well above industry standard)
  • Resources located in North America, South America, Asia-Pacific and Europe
  • Roles include embedded, dedicated leadership structure + all levels of Data Managers, Stats Programmers, Biostatistics, IVRS, ePRO, Medical Coding
  • Several teams are remote, others partially based in PRA Philadelphia headquarters, others at Sponsor sites, global PRA facilities
  • Management almost always grown from within, with a PRA manager in place for every team
  • Teams range in size from 1 resource to 200+ and several relationships have been established for 5, 10, and 15+ years!

Our motto: One client! One team! One set of processes to learn!
Why join SSD Biometrics?
  • PTO policy is very competitive
  • Employee Stock Purchase Plan
  • Have you had a chance to see our sweet office in Blue Bell?
  • Significant return rate of PRA ex-employees
  • Get involved in client initiatives, process improvements, investigator meetings, training, mentoring…..break out of the day-to-day
  • See the results of your work through direct discussions, meetings, townhalls and teambuilding events with client leadership
  • Upward mobility for those that are interested – our SSD leadership structure is primarily built from within and have been in place with us for 5, 10+ years!
  • High retention of team members and management means stable teams and positive program culture
  • Permanent PRA employees with examples of opportunities to convert to client perm roles
  • Significant global industry conference participation, SCDM, JSM, PhUSE, PharmaSug, DIA.


The Clinical Data Scientist is capable of leading Clinical Data Management centralized monitoring activities as well as supporting study-level risk-based monitoring activities with minimal support and oversight.

  • Implement strategies, initiatives, processes, and standards to support timelines and deliverables for quality data
    • Align with protocol, ICH GCP, and regulatory requirements
    • Provide and maintain documentation to support activities
  • Provide technical and consultative expertise to set up study level dashboards and visualizations in the Data Review and Management System
  • Review output of dashboards and communicate recommended mitigations and actions to study teams including adjustments to Source Data Verification activities
  • Foster effective cross-functional communication with study teams to manage issues, follow-up, and outcomes during the course of a study
  • Participate in evaluation and pilot of Data Review and Management System external vendor tool


  • 5-8 years of experience working in the Pharmaceutical/Biotech industry
  • Prior experience working in Risk-Based Monitoring (RBM), Centralized Monitoring, and/or Central Statistical Monitoring with an understanding of RBM principles and methodology
  • Technical expertise in database development, data management, etc. and associated principles including CRF design, database set up, data review and cleaning activities
  • Thorough understanding of clinical development process and principles of study design
  • Experience in managing projects as well as effective verbal and written communication skills
  • Ability to work independently, organize tasks, time and priorities, ability to multi-task
  • Ability to communicate effectively and appropriately with internal & external stakeholders, locally and globally
  • Ability to think critically and translate data into actions for functional areas

Preferred Additional Experience:

  • Knowledge of basic statistical principles
  • Experience with Analyst software (e.g., Spotfire, Power BI, Tableau)
  • SAS programming experience

  • Bachelors or higher in a health-related field

  • Manages complexity - Making sense of complex, high quantity, and sometimes contradictory information to effectively solve problems.
  • Decision quality - Making good and timely decisions that keep the organization moving forward.
  • Communicates effectively - Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences.
  • Collaborates - Building partnerships and working collaboratively with others to meet shared objectives.
  • Manages ambiguity - Operating effectively, even when things are not certain or the way forward is not clear.
  • Nimble learning - Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder.
  • Tech savvy - Anticipating and adopting innovations in business building digital and technology applications.
  • Cultivates innovation - Creating new and better ways for the organization to be successful.

PRA is an EEO/AA employer and is committed to providing opportunities to minorities, women, veterans and individuals with disabilities.


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