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    Data Scientist II - Malvern, United States - YPrime

    YPrime
    YPrime Malvern, United States

    3 weeks ago

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    Description

    Job Description

    Job Description

    At YPrime, we help our clients in the pharma and biotech industries to collect data from patients using mobile devices, assign patients to study treatment groups, and dispense clinical trial drugs and supplies using web apps. We're supporting life-altering research, one project at a time.

    Is your career in its prime? It could be

    YPrime's Customer Experience and Data Science team is looking for a Data Scientist II to be responsible for supporting the teams activities for the collection, cleaning and transformation of data to meet our customer and company needs. In this role you will work in collaboration with the Data Scientist to ensure operational excellence across all deliverables. You'll be based in our Malvern, Pennsylvania headquarters.

    Does our mission sound like something you can get behind? If so, here's what we need from you:

    • Bachelor's degree, or equivalent experience
    • Minimum of 3 years experience in pharmaceutical, CRO, or Healthcare industry
    • Experience with any data analysis package such as SPSS, SAS, R, or MATLAB
    • Strong analytical and problem-solving skills
    • Extensive knowledge of clinical trials terminology, FDA, PMDA, and ICH guidelines as well as the drug development process
    • Experience programming with clinical data within pharmaceutical and/or biotechnology companies, clinical IRT/eCOA systems, or EDC
    • Ability to develop software solutions in conjunction with data scientist, statistician, and study team to anticipate and meet client needs
    • Good communication skills, with the ability to effectively articulate complex, technical information
    • Well organized and detail-oriented with an ability to multitask

    Here are some more details about the job:

    • You'll participate in experimental frameworks for product development and machine learning with the aim to lay a strong data foundation for the performance of robust analytics
    • You'll lead efforts in sharing information with applicable stakeholders when project pathway and solution is complex
    • You'll help team members understand reference documents by positioning self as a SME and being available to answer questions or talk out situations
    • You'll create library of process checklists for reference for junior team members
    • You'll leads efforts in providing customer solutions by using experience in working with other customers and suggesting best approaches based on lessons learned
    • You'll lead efforts in proof-of-concept work regarding establishing data transfer process, creating data transfer specifications, and reviews from the customers
    • You'll lead efforts in creating automated solutions
    • You'll leads efforts in bringing new technology solutions to the company and comparing existing vs. available solutions in the market
    • You'll train junior data scientists on creating data transfer agreements, specifications, and similar other standard documents
    • You'll be responsible for data transfer reviews, including ad hoc requests, snapshot reports, and study archival requests for high quality
    • You'll manage metadata for data transfer specifications for internal systems
    • You'll be able to make sense of data and extrapolate meaningful and actionable insights
    • You'll interact with project teams as a data science team contact to provide advice and support for data deliverables
    • You'll collaborate and work cross-functionally with Data Management team
    • You'll interact effectively and independently with other functional units
    • You should be able to explore and present data in a useful way
    • You'll perform installations and other related duties as required

    What are the YPrime Perks?

    • Generous paid time off
    • Comprehensive benefits package largely subsidized by YPrime
    • 401(k) with company match
    • Flexible working arrangements with an emphasis on work/life balance
    • Friendly, smart, passionate and hard-working coworkers
    • Opportunities for professional growth and advancement
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