Non-Clinical Statistician - MGP Algorithm Development & Implementation Precision Therapeutics

The Opportunity:

Precision Therapeutics, Inc (PTI) is a personalized medicine company located in Pittsburgh PA. Our products assist physicians in selecting effective chemotherapeutics for their cancer patients. We are seeking a statistician for the Informatics Team, which is responsible for supporting R&D research, new product development, clinical research, and commercial operations.



Duties & Responsibilities:

The major responsibility of the incumbent is to support the development and launch of multi-gene predictor (MGP). In particular, the incumbent will focus on the algorithm development and software implementation for MGP product development according to regulatory guidelines.



Qualifications

PhD or Masters in statistics/biostatistics. For Masters, 3+ years of working experience is preferred
Familiar with array technologies and related statistical issues
Array platform (probe sequence design, detection call algorithms, annotation)
Data pre-processing (e.g. normalization, transformation, gene filtering)
Array reproducibility (batch effect, sample processing)
Solid multivariate analysis skills in analyzing large datasets using data mining techniques such clustering, classification, prediction, validation, dimension reduction, partial least squares.
Proficient in using Bioinformatics tools (online/commercial database and software); effective programming using statistical software such as R or SAS. Basic knowledge of software validation
Basic knowledge of the concept/phases/regulatory guidance on in vitro assay validation (analytical validation, clinical validation, regulatory guidelines)
Basic understanding of cancer cell/molecular biology, chemotherapies and their mechanism of actions, in vitro cellular and molecular assay technologies.
Basic knowledge of oncology clinical trials; cancer-specific prognosis, clinical endpoints, and response rates.
Ability to interact with lab scientists, curious about underlying biology hypothesis, assay technologies, and limitations (both in biology and assay technology). Ability to ask scientific (rather than just statistical) questions so that the focus is on what is the right question rather than on what is a better statistical method for a given question
Solid statistical background in experimental design, creative and insightful thinking in assay diagnosis using statistical designs and analyses.
Team work with other bioinformatics colleagues to identify features and develop prediction algorithms

Location:	2516 Jane Street Pittsburgh, PA 15203 United States