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    Software Engineer/Digital Health Scientist - Pittsburgh, United States - University of Pittsburgh

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    Description

    Software Engineer/Digital Health Scientist.

    The Department of Biomedical Informatics (DBMI) at the University of Pittsburgh School of Medicine is dedicated to advancing biomedical research and clinical care through innovative technologies. Our research spans genomic and proteomic data mining, machine learning, and bio-surveillance. As part of the School of Medicine, we offer access to cutting-edge equipment, renowned guest lectures, and collaborative opportunities with fellow researchers to expand our knowledgebase.

    We are excited to announce an opportunity within the PRoBE Laboratory for Pattern Recognition from Biomedical Evidence, led by Dr. Vanathi Gopalakrishnan. Our lab focuses on integrative modeling and analytical research, leveraging diverse health data and knowledge to discover biomarkers and systemic patterns underlying biological states. The goal is to inform precision disease diagnosis, monitoring, and treatment. As a team, we aspire to impact global healthcare by translating our findings into clinical practice, particularly benefiting women across their lifespan.

    Key Responsibilities:

    Machine Learning Development:

    Develop, design, and generate machine learning predictive models.

    Utilize programming languages such as Java, C#, JavaScript, and Python for state-of-the-art code development and debugging.

    Curate complex datasets for modeling purposes.

    Code Modification and Enhancement:

    Modify existing Java and Python code to improve functionality and efficiency.

    Experience with AR/VR coding and science is a significant advantage.

    Multi-Omics OR Multi-modal Digital Health Data:

    Familiarity with multi-omics health data mining OR experience with multi-modal digital health data acquisition or analysis is desirable.

    Qualifications:

    Bachelor's, Master's, or Ph.D. degree in Computer Science, Biomedical Informatics, or related fields.

    Strong experience in machine learning, software development, and data analysis.
    Passion for advancing women's health through innovative research.

    Note: This job description provides an overview of responsibilities and qualifications but is not exhaustive.

    The PRoBE Lab is located in Shadyside, with proximity to UPMC Children's Hospital and the Hillman Cancer Center. The main Oakland Campus is easily accessible via a short free shuttle ride. Fresh food and markets are located in very close proximity to the work location. Please contact Dr. Vanathi Gopalakrishnan via email to regarding any additional enquiries related to this position.

    Visit us at for more information on our research.

    Job Summary

    Executes the thoughtful design, development, and implementation of software programming applications; determines technical specifications and standards for complex projects; serves as lead for diverse projects; and manages departmental projects. Develops design specifications; analyzes and interprets system requirements; reviews and modifies systems; codes, tests, troubleshoots, and debugs software applications; and contributes to the research for and proposal of enhanced software applications. Resolves complex problems with expertise and leads lower-level staff.

    Essential Functions

    Generating, maintaining, testing, and refining software code for computational experiments and research prototype development in collaboration with large database mining. Documenting and archiving data and predictive models. Contributing results from machine learning experiments to research publications and presentations.

    Physical Effort

    Moving between laboratories. Occasionally may have to lift objects under 25 pounds.

    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 Engineer IV

    Job Family: Information Technology

    Job Sub Family: Software Engineering

    Campus: Pittsburgh

    Minimum Education Level Required: Bachelor's Degree

    Minimum Years of Experience Required: 7

    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, 8:00 am - 4:30 pm

    Work Arrangement: Monday - Friday, 8:00 am - 4:30 pm

    Hiring Range: TBD Based Upon Qualifications

    Relocation_Offered: No

    Visa Sponsorship Provided: No

    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

    Optional Documents: Not Applicable

    Please see job description

    PI



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    The Department of Biomedical Informatics (DBMI) at the University of Pittsburgh School of Medicine is dedicated to advancing biomedical research and clinical care through innovative technologies. Our research spans genomic and proteomic data mining, machine learning, and bio-surv ...


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  • University of Pittsburgh Pittsburgh, United States

    Software Engineer/Digital Health Scientist. · The Department of Biomedical Informatics (DBMI) at the University of Pittsburgh School of Medicine is dedicated to advancing biomedical research and clinical care through innovative technologies. Our research spans genomic and proteo ...

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