Scientist, Computational Biology

Job ID: 17-11113
Job date: 2017-08-29
End Date:

Company : Advent Global Solutions 

Country :

Role : Research Scientist 


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Job Description:
Client seeks a talented, results-oriented individual to contribute to our informatics and data management initiatives in Research and Early Development (R/ED). This hands-on role interfaces with programs spanning both discovery and translational sciences where processing and interpreting multi-platform and multi-dimensional 'omic' data in pre-clinical and clinical settings is being employed to identify molecular drug targets, characterize MOA, prioritize clinical indications and generate patient selection hypotheses. We are seeking an individual eager to work on managing and processing a wide range of data types in support of R/ED clinical trials and drug development experiments while working in close collaboration with basic research, translational and computational scientists.

Responsibilities include, but are not limited to, the following:

  • Help define, develop, enhance, and automate processes for queuing and prioritizing data management and curation requests
  • Assist scientists with tools, processes and data structures needed to support project objectives, including data integration efforts that may span multiple studies or experiments
  • Help process data to ensure accurate, complete and timely collection, delivery and tracking of analytical information from translational, CRO or collaborating laboratories for curation, ingestion and delivery to computational scientists
  • Help define, deliver and implement R/ED, collaborator and partner laboratory analytical data management systems, processes and procedures
  • Work with R/ED study teams to help develop R/ED information management plans that outline data capture, data flow, data queries, manual checks, and data listings needed to ensure data integrity
  • Participate in comprehensive data review activities in coordination with project and study teams
  • Work with computational biologists, computational scientists, clinical programmers, vendors and study scientists to help resolve data quality issues
  • Assist in making data, including raw/interim data, available to R/ED department personnel as required
  • Acquire user feedback to inform business requirements for future development.
Experience and Education:
  • Bachelor's degree in a relevant discipline with 2 – 5 years of work experience
  • Experience with molecular biology assay concepts and ability to support, develop and deploy laboratory and other research data management processes and procedures is desired Practical experience in working with diverse but highly-connected scientific knowledge collections
  • Proven ability to work in a team environment with various personnel
  • Experience with the following languages: R (required), Python (required), Javascript/HTML/CSS (desired)
  • Working knowledge of data visualization
  • Experience with relational databases and implementation with capability to perform/direct/assess implementation of such databases
  • Basic knowledge of statistics is desired
  • Working knowledge of both Windows and Linux operating systems is required
  • Working knowledge of Rest APIs and container strategies
  • Knowledge of current software engineering methodologies, such as Agile, source control, project management and issue tracking is helpful
  • Knowledge of MS Office/Sharepoint required
  • Experience working with clinical trials is desired
  • Along with programming proficiency must have creativity, ability to demonstrate project ownership, strong capacity for independent thinking and the ability to grasp underlying biological questions
  • Must thrive in a complex, dynamic environment while adapting to dynamically changing priorities
  • Must have excellent written and verbal communication and presentation skills
Must have excellent time management and organizational skills


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