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    Machine Learning Research Scientist - Pittsburgh, United States - University of Pittsburgh

    University of Pittsburgh
    University of Pittsburgh Pittsburgh, United States

    2 weeks ago

    Default job background
    Description
    Machine Learning Research Scientist


    The Machine Learning Research Scientist will work closely with health informatics faculties in the Department of Health Information Management to design, implement, and maintain a clinical research data warehouse.

    The individual will build and support all IT infrastructure needs, and provide technical leadership in system architecture, design principles, software development, and selection of IT technologies.

    You will also use analytical and problem-solving skills to resolve the most complex and high scale data challenges to support health sciences research.

    Bachelor's degree, or equivalent experience, in Computer Science, Engineering, Mathematics or related field.

    Experience and knowledge of skillsets weighted more heavily than years of experience. Experience with database design, database programming skills, SQL skills

    Experience with designing ETL solutions

    Expert in one or more programming languages (Java and Python preferred) Experience with data model design, data standards, ontology design is a plus Experience with data warehousing, Hadoop/data lake platform implementation is a plus Experience of IT platform implementation in a technical and analytical role is a plus Experience of writing, submitting, and publishing scientific articles

    Job Summary

    Contributes to the design, development, coding, testing, debugging, implementation, and maintenance of moderately to more complex websites and/or software.

    Documents development and maintenance efforts, assists in integrating assigned work with other system components, and designs and performs functional testing.

    Essential Functions

    The candidate will design, implement, and maintain the IT infrastructure using enterprise-level Java programming language. Require experience in Java, SQL, and infrastructure system design.

    Ability to track and finish project milestones, research data warehouse development, and reporting to the stakeholders.


    Responsible for leading the clinical data retrieval, data analysis, evaluating different medical data standards including OHDSI common data model (COM) and i2b2 COM.

    These complex data analysis activities will be conducted using customized Python programming language. In addition, the candidate will also summarize the results in scientific articles and submit to academia conferences and journals.


    The candidate will communicate with several stakeholders, including rehabilitation researchers to understand the demands, the Pitt internal R3 office to understand the Neptune data warehouse operation, and health informatics faculties for the overall strategy.

    Physical Effort

    Little physical effort required. Duties are primarily sedentary.

    The University of Pittsburgh is committed to championing all aspects of diversity, equity, inclusion, and accessibility within our community.

    This commitment is a fundamental value of the University and is crucial in helping us advance our mission, which includes attracting and retaining diverse workforces.

    We will continue to create and maintain an environment that allows individuals to discover, belong, contribute, and grow, while honoring the experiences, perspectives, and unique identities of all.

    The University of Pittsburgh is an Affirmative Action/Equal Opportunity Employer and values equality of opportunity, human dignity and diversity. EOE, including disability/vets.

    Assignment Category:
    Full-time regular

    Job Classification:
    Staff

    Software Developer III Job Family:

    Information Technology Job Sub Family:
    Programming &

    Development Campus:

    Pittsburgh Minimum Education Level Required:
    Bachelor's Degree Minimum Years of
    Experience Required: 5 Will this position accept substitution in lieu of education or experience: Combination of education and relevant experience will be considered in lieu of education and/ or experience requirement


    Work Schedule:
    Monday - Friday, 8:30 am - 5:00 pm

    Work Arrangement:
    Monday - Friday, 8:30 am - 5:00 pm

    Hiring Range:
    TBD Based Upon Qualifications Relocation_Offered:

    No Visa Sponsorship Provided:

    Yes Background Check:
    For position finalists, employment with the University will require successful completion of a background check

    Child Protection Clearances:

    Not Applicable Required Documents:
    Resume,

    Cover Letter Optional Documents:
    Writing Sample, Media Sample PI
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