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Clinical Data Analyst

  1. Estonia, Sofia, Vilnius, Bucharest, Johannesburg, Bratislava
JR109033
  1. Clinical Data Management
  2. ICON Full Service & Corporate Support
  3. Remote

About the role

This vacancy has now expired. Please click here to view live vacancies.

ICON plc is a world-leading healthcare intelligence and clinical research organisation. From molecule to medicine, we advance clinical research providing outsourced services to pharmaceutical, biotechnology, medical device and government and public health organisations.

With our patients at the centre of all that we do, we help to accelerate the development of drugs and devices that save lives and improve quality of life.

Our people are our greatest strength, are at the core of our culture, and the driving force behind our success. ICON people have a mission to succeed and a passion that ensures what we do, we do well.



Risk based monitoring
RBM data scientist will be responsible for preparing the data and running the necessary analyses, from operational and clinical databases SAS, using mainly the CluePoints software but potentially doing more data exploration on SAS, to help the study teams implement and adjust their RBM strategy as the studies are progressing. 

Responsibilities

- Identify the data sources and propose a data preparation approach , e.g. using Raw data sets as an entry
- Identifying, selecting, possibly combining the key variables
- Based on the specification, preparing the datasets needed
-Set up and Refresh Cluepoints reports (KRI, DQA) on a regular basis in accordance the study specificities
- Run additional analyses, in conjunction with B&P/TO teams to understand findings if appropriate
- Provide elements of interpretation of findings to the RBM central monitors to understand the signals
- Prepare written report summarizing results (data findings and signals identified), if needed
- Support the definition of actions to be taken to adapt the RBM strategy to signals
- Closely collaborate with RBM Central Monitor
- Follow RBM processes defined for the global and local team
- Provide mentoring to new RBM Data Scientist

Abilities:

  • System:  SAS EG; Rave; Cluepoint; Anaconda3
  • Skills:
  • Cluepoint: 
  • Cluepoints experience is a strong added value.
  • Well understood CluePoint smart engine, assigned proper test for KRI to be as sensitive as possible
  • Familiar with KRI & DQA dashboard set up/ refresh process in Cluepoint
  • SAS
  • Develop program based on reference code
  • Develop program based on KRI spec from scratch 
  • Python
  • Update parameter & execute program
  • Debug & minor update
  • Major update
  • KRI spec writing based on related docs.
  • Translate natural language to programming language



Benefits of Working in ICON:

Our success depends on the knowledge, capabilities and quality of our people. That’s why we are committed to developing our employees in a continuous learning culture – one where we challenge you with engaging work and where every experience adds to your professional development.

At ICON, our focus is to provide you with a comprehensive and competitive total reward package that comprises, not only an excellent level of base pay, but also a wide range of variable pay and recognition programs. In addition, our best in class employee benefits, supportive policies and wellbeing initiatives are tailored to support you and your family at all stages of your career - both now, and into the future

ICON, including subsidiaries, is an equal opportunity and inclusive employer and is committed to providing a workplace free of discrimination and harassment. All qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or in order to perform the essential functions of a position, please let us know through the form below.

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