Senior Software Developer (Senior I.T. Professional)

University of ColoradoAurora, CO
21hOnsite

About The Position

The Scholl lab within the Department of Physiology and Biophysics is seeking a Software Developer to join a team focused on understanding the functions of neurons and circuits in the visual system using experiment and theory. This position offers collaboration across three laboratories, combining retinal electrophysiology and imaging, cellular and circuit modeling, in vivo two-photon microscopy of synaptic and cellular activity, two-photon optogenetic perturbations, CRISPR/Cas9 gene manipulations, and rodent visual behaviors. In addition to understanding normal function, we are interested in degenerative neurological conditions leading to alterations in visual processing.

Requirements

  • Bachelor’s degree in computer science, management/computer information systems, computer engineering, information technology, or a directly related field from an accredited institution
  • Two (2) years of professional experience with data management and bioinformatic analyses.
  • A combination of education and related technical/military/paraprofessional experience may be substituted for a bachelor’s degree on a year for year basis.
  • Applicants must meet minimum qualifications at the time of hire.
  • Ability to communicate effectively, both in writing and orally.
  • Ability to establish and maintain effective working relationships with employees at all levels throughout the institution.
  • Outstanding customer service skills.
  • Advanced knowledge of basic statistical principles relevant in medical research
  • Ability to analyze and solve complex problems and apply quantitative analytical approaches
  • Demonstrated fluency in one or more programming languages (e.g., R, Python, Perl, Java, C++) and willingness to learn new programming languages as necessary
  • Familiarity with statistical analytical concepts and methods
  • Demonstrated commitment and leadership ability to advance diversity and inclusion
  • Knowledge of basic human anatomy, physiology, medical terminology
  • Ability to interpret and master complex research protocol information

Nice To Haves

  • Master’s degree in computer science, management/computer information systems, computer engineering, information technology, or related field
  • Three (3) years of experience analyzing data using high-performance computing

Responsibilities

  • Collaborate with and support Principal Investigators (PI) and other stakeholders in the area of bioinformatics and data analysis
  • Perform scientifically rigorous data management and bioinformatic analyses
  • Develop and disseminate a variety of tools designed to access relevant clinical and sample data
  • Develop and implement complex analyses pipelines, programming, and data visualization techniques for multi-layered -omics datasets (transcriptome, epigenome, proteome, microbiome, etc.)
  • Creatively and effectively integrate data from multiple sources to accelerate discoveries
  • Assist with the design and development of major bioinformatics-related programming projects
  • Write custom scripts to access databases and analyze data
  • Write custom web tools for PIs and other stakeholders
  • Independently and creatively identify bioinformatic and data management solutions
  • Assist Team Leads, Supervisors and/or management with creation and implementation of processes and procedures and quality improvement initiatives
  • Assist and train junior team members
  • Assist with developing or develop protocol-specific systems and documents including process flows, training manuals, and Standard Operating Procedures (SOPs) . Maintains subject level documentation and prepares documents, equipment and/or supplies
  • Assist with identifying issues related to operational efficiency and shares results with leadership
  • Provide the biostatistical/data science expertise and leadership in study design, study oversight, data management, data analysis and manuscript preparation to assist all levels of biomedical investigators and clinicians on new research activities across a wide range of disciplines
  • Serve as a resource to PIs and other stakeholders

Benefits

  • Medical: Multiple plan options
  • Dental: Multiple plan options
  • Additional Insurance: Disability, Life, Vision
  • Retirement 401(a) Plan: Employer contributes 10%25 of your gross pay
  • Vacation Days: 22/year (maximum accrual 352 hours)
  • Sick Days: 15/year (unlimited maximum accrual)
  • Holiday Days: 15/year
  • Tuition Benefit: Employees have access to this benefit on all CU campuses
  • ECO Pass: Reduced rate RTD Bus and light rail service
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