Career Opportunities with the Department of Biomedical and Health Informatics

14-33778 DATA INTEGRATION ANALYST

The Data Integration Analyst, Enterprise Informatics in Translational Informatics is responsible for the development and operations of integrated research tools, laboratory information systems, reporting applications, data management and analytics systems within a translational research setting for biorepository studies. The focus of this position is the onboarding of new biorepositories which use multiple integrated tools for day-to-day operations and the data requests and ETL processes that come with the nature of these studies. This position demands an individual with superior technical and innovative database creation, administration, and programming skills, as well as diplomatic and organizational skills associated with the successful management of resources within a matrix environment.

This position also requires a large degree of experience in the modeling of highly complex data types such as genomics and proteomics. This individual will interact heavily with Hospital data transformation and integration initiatives to demonstrate proof-of-concept data integration and to promote the proper representation of translational data and activities created and utilized by the diverse researcher population.

Requirements

  • BS required/MS strongly preferred in Computer Science, Information Science, Informatics, or related discipline.
  • 5 or more years experience in database development, database administration, and/or programming within a health sciences environment necessary.
  • 3 or more years experience in medical and research data modeling preferred.
  • Previous experience in data modeling and applications of highly multidimensional data types such as that derived from genomics, proteomics, or image analysis is strongly preferred.
  • Previous experience working in a regulated or audited systems environment preferred.
  • Demonstrates expert knowledge of the Systems Development Life Cycle.
  • Superior oral and written communication skills.
  • Working knowledge of project management and business processes is preferred.

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14-33779 ANALYST/PROGRAMMER

The Analyst/Programmer in Enterprise Translational Informatics at the Center for Biomedical Informatics (CBMi) is responsible for supervised development and implementation of highly creative and reliable tools in order to optimize informatics solutions in the research setting for bio-repository studies and enterprise translational informatics solutions. Most projects will relate directly and indirectly to the Children’s Brain and Tumor Tissue Consortium, but will have wider enterprise implications. This position demands an individual with superior technical programming skills who can quickly apply this knowledge to define a “best path” for a wide variety of projects. The Analyst/Programmer will develop solutions for a fairly complex organization to yield deliverables such as bioinformatic analysis modules that utilize large and complex data types, data extraction/analysis modules that are dependent on complex underlying healthcare data systems, and process-oriented modules that help maintain patient privacy and further the efficiencies in biorepository studies.

The programmer/analyst will work closely with the Applications Research team in Translational Informatics to understand and execute on client requirements, design of solution sets, coding, testing and implementation for programming projects that affect the bio-repository and translational research community. The individual will be able to very quickly and independently translate requirements from disparate functions into deliverables that are immediately high in quality, extensible as defined by a long-term strategic plan, and intuitively accessed and utilized by users.

Requirements

  • BS/BA required/MS preferred in computer science, biomedical engineering, information science, or related field.
  • One or more years of systems analysis and/or programming experience with progressively more complex projects.
  • Working knowledge of one or more of the following preferred:Python, PHP, Scala, Perl (with BioPerl familiarity), C/++.
  • Working knowledge of relational database application development preferred, including stored procedures, SQL, data definition language.
  • Previous experience in data modeling and applications of highly multidimensional data types such as that derived from clinical research, genomics, proteomics, or image analysis is preferred.
  • Experience in healthcare and/or biomedical data management issues is preferred.
  • Working knowledge of project management and business processes is preferred.
  • Must exhibit excellent oral and written communication skills.
  • Demonstrates knowledge of system integration, configuration, and deployment.
  • Experience with continuous integration, containerization, and automated testing tools and processes is preferred.

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14-34585 BIOINFORMATICS SCIENTIST III

The Bioinformatics Scientist III position is an intermediate level position for a PhD level professional and a final stage position for those with high experience without a PhD. The focus of the position is collaboration-level application of bioinformatics tools and methods to bench and clinical research problems in various biomedical domains. The position allows for a wide variety of activities described within the job responsibilities and encompasses positions within both research and clinical environments. Activities occur with a low degree of supervision with expectation for highly independent judgment, development of bioinformatics workflows and processes, and presentation of results. The Bioinformatics Scientist III will apply best practices in collaborative science as a bioinformatics domain scientific collaborator. Academic output is a focus of this position and is expected with a low degree of supervision. The Bioinformatics Scientist III is primarily focused on taking a lead, proactive scientific role in teams and projects as a bioinformatics domain expert.

The Bioinformatics Scientist III must be able to perform all responsibilities listed in the Bioinformatics Scientist II job description. All responsibilities listed in this description are additional.

Requirements

  • MS/PhD in biological or computational discipline.
  • 5-10 years experience in applied bioinformatics, genomics, and computational work. This experience can be inclusive of a relevant PhD dissertation.
  • Ability to, under supervision, conceive of, plan, implement, validate, and disseminate entire research projects is required.
  • Ability to assume principal investigator or similar role in academic research is preferred.
  • Strong UNIX/LINUX expertise required.
  • Proficiency in R or similar commonly used bioinformatics language required.
  • Experience with Python, Perl, or other languages required.
  • Experience with pipeline or workflow development frameworks preferred.
  • Experience with management and analysis of complex data types required.
  • Proficiency in various open source and commercial bioinformatics resources and software required.
  • Experience with genomic/proteomic data analysis methods required.
  • Experience or knowledge of technologies commonly used in biological labs, such as PCR, cloning, electrophoresis gels, and cell culture required.
  • Knowledge of the working mechanism of microarray, NGS, mass spectrometry, or other high-throughput technologies and awareness of their strengths and weaknesses, as well as applicability to a specific biological problem is required.
  • Familiarity with resources of genomic data sets and analysis tools, such as UCSC Genome Browser, Bioconductor, ENCODE, and NCBI databases is required.
  • Ability to correctly select and perform statistical tests for most types of genomic data, and to properly interpret their results in the scenario of a specific study is required.
  • Ability to leverage unique knowledge of bioinformatics, applied biostatistics, molecular biology, and measurement platforms for effective scientific discussion with biologists and clinicians is required.
  • Ability to determine most favorable academic output as a primary research outcome is preferred.
  • Ability to objectively critique results and present as valid or questionable, taking into account all aspects of study design, technical issues, and limitations of workflows is required.
  • Accountability and attention to timelines.
  • Excellent organization and communication skills with an emphasis on strong presentation skills.
  • Ability to independently plan and execute analyses of moderate complexity required.
  • Ability to provide objective validation of results required.
  • Ability to work in a team environment.

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14-34444 STUDENT

A student position is available for an aspiring undergraduate student or a recent graduate interested in working with an experienced data scientist and a team of analysts/programmers focused on providing technology solutions for cutting edge translational research at The Children’s Hospital of Philadelphia in the Department of Biomedical and Health Informatics. Domains include clinical genomic analysis, audiological data analysis, and other pediatric diseases and disorders. Projects involve predictive modeling using machine learning and mathematical analysis incorporating heterogeneous and complex data types. Under supervision of the Principal Information Scientist, the student will assess and implement computational, algorithmic, and predictive analytics approaches to solve assigned research problems. With guidance, the individual will contribute to the experimental design, execution, test and evaluation of methods as applied to translational data science research projects. A basic background in life sciences is helpful but not required. We are looking for someone who takes initiative, is highly creative, able to work independently, with good organizational skills and attention to detail. Most of all, we are looking for people who share our eagerness to help develop novel ways of improving outcomes for childhood disease

Requirements

  • Current undergraduate student or BA/BS degree completed within last year.
  • Degree major in mathematics, statistics, biomedical informatics, computer science, engineering, or related field.
  • Familiarity with Python or Scala programming languages.
  • Familiarity with machine learning classification algorithms.
  • Knowledge of a machine learning library (e.g. Weka, SciKit Learn).
  • Experience with time-series data analysis.
  • Must exhibit excellent oral and written communication skills.

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