Jobs

The Opportunity:
Precision Therapeutics, Inc. is a bio-technology start-up company located on the South Side of Pittsburgh just minutes away from Carnegie Mellon University, the University of Pittsburgh, and the University of Pittsburgh Medical Center (UPMC). PTI assists oncologists in evaluating individualized cancer therapy options for their patients. We are currently seeking a Informatics Programmer/Analyst/Data Manager to join the Precision Therapeutics Development team.

Duties & Responsibilities:
The successful candidate will join a talented team of Technology and Biology professionals in the development of products designed to customize cancer therapy treatments on an individualized patient basis. The successful candidate must be highly organized, detail oriented and be an excellent communicator. The role will include;

Expertise in such areas as genomics, proteomics, sequence analysis, gene expression, high-throughput analyses, and image analysis is a plus. Must possess solid knowledge of available bioinformatics tools and public biological databases. Must be flexible, demonstrate good interpersonal skills, and have a solid background in programming (e.g. Python, Perl, BioPerl, and/or Java).

• A significant amount of software development and database management in addition data management of various kinds of information from multiple sources.
• Manage data in relational databases and other stores. Includes data import, data migration, custom data retrieval, documentation and support, and query optimization.
• Identify/Create programming tools and technical solutions.
• Integrate a mixed environment of code and data (Java, Python, Perl, .Net, SQL, R, SAS).
• Analyze and mine multiple data sources to select statistically valid data samples; build, test and implement statistical models by investigating appropriate methods and algorithms.
• Provide direction on statistical models that will support medical management; identify previously unknown relationships among the data for analyses of trends; provide support to Informatics staff and other areas of the corporation.
• Define effective statistical models (logistic and linear regression, neural network, cluster analysis, SVM, categorical data modeling and other relevant predictive statistical techniques).
• Employ model comparison and selection techniques (e.g. Lift/ROC curves) to identify best models.
• Evaluate analytical findings to ensure accurate interpretation of data and development of meaningful data mining results
• Create multiple data visualizations to aid in comprehension of data and information.

Qualifications:

• Education:
  
  • Bachelors, Masters, or PhD in Mathematics, Engineering, Computer/Information Science, Statistics or another quantitative field.

• Knowledge & Abilities
  • Excellent understanding of data management principles, such as joining data sets, indexing, data aggregation, record selection, subsetting, multiple records per case, create and modification of views, accessing multiple databases.
  • Ability to research and access external databases
  • Willingness to work in an ambiguous environment
  • Ability to problem solve and prioritize work assignment
  • Effective interpersonal skills and ability to maintain effective working relationships with others
  • Able to work independently or in small teams
  • Quick learner
  • Problem-solver who makes sound decisions
  • Highly organized and detail oriented
  • Well developed and effective communication skills
      Phone, Documentation, In-Person
  • Overall Attitude, Aptitude, Willingness to Learn and Achievement oriented approach and desire to get the job done right, whatever that takes.

• Technical Skills:
  • Experience transforming data in various formats
  • Strong background in quantitative statistical analysis including model building and concepts, regression analysis, cluster analysis, discriminate analysis, factor analysis and multivariate statistics
  • Skills in mathematics, statistics, and scientific analysis for application in a business environment.
  • Prior experience in Algorithm Development
  • Proficiencies in;
    • Scientific Programming
    • PERL or Python
    • SQL & Database Development
    • Microsoft Office Tools - Excel (including Pivot Tables), Word, Project

• Preferred Skills:
  • SQL, with emphasis on Oracle Databases
  • Python or Perl
  • Spotfire Decisionsite
  • SAS 9, S Plus or R
  • Java, C, or C++
  • Matlab
  • Experience with basic bioinformatics tools (Blast, BLAT, sequence analysis algorithms, clustering tools) and bioinformatics resources, including UCSC genome browser, Entrez gene, GEO, and pathway analysis.