We are still trying to fill this Masters-level position working with Pathobiology. We are looking for someone who can work with multiple PIs and whip out short analyses, figures, and pipelines quickly. Please be prepared to submit code samples (i.e. Github) for review. Also mention if you have a Biostars history.
The Bioinformatics Scientist II within the Department of Biomedical and Health Informatics will apply his or her knowledge of bioinformatics algorithms and analysis platforms to consult with investigators in the Divisions of Cancer Pathobiology & Experimental Pathology on their projects, analyze data and align with biological systems, and to serve as a collaborative, and sometimes lead, investigator in academic output including assistance in experimental design and grant writing. We are seeking a scientist who has experience in analysis and interpretation of one or more high-dimensional data types including next-generation DNA sequencing, RNA-Seq, CHiP-Seq, DNA and expression arrays, proteomics, or any others. Prior experience in the field of cancer, cell biology, and/or immunobiology, while not required, is strongly preferred. This individual will work in a highly skilled, team-oriented environment applying knowledge of cellular, molecular, and computational biology to create novel methods and testable scientific hypotheses. Candidates should have a well-grounded understanding of the strengths and limitations of commonly used data generating platforms as they apply to experimental endpoints and will readily be able to set expectations and defend results through direct communication with principal investigators and their staff. An understanding of systems biology as represented by integrated pathway analyses is expected. This individual must be a functional coder in R, Perl, Python, Java, or other scripting/statistical language. Please note that those individuals who do not possess a strong knowledge of molecular, cellular, or systems biology should not apply.
MS or Ph.D. In a biological, computational or related discipline
Four to five (4-5) years experience in applied bioinformatics, genomics, and computational work, which can include experience gained from PhD dissertation work.
Demonstrated skills utilizing bioinformatics algorithms, tools and resources, e.g. sequence retrieval, alignment and clustering techniques, expression profiling and protein related analysis, using major databases and data standards in the field.
Knowledge and proficiency in commonly used bioinformatics open source resources and software.
Familiarity with repositories of genomic data sets and websites, such as UCSC Genome Browser, Bioconductor, ENCODE and NCBI databases, and Ingenuity and GSEA algorithms
Ability to write and implement complex computer programs in a language such as Python, R, Perl, Java, C++, etc.
Proficiency in Unix or Linux operating systems.
Strong working knowledge or training in biomedical research.
Ability to work efficiently on multiple projects.
Ability to choose the correct statistical tests for the problem and help researchers in experimental design.
Ability to communicate scientific and informatics concepts to a wide range of audiences.
Knowledge of technologies commonly used in biological labs, such as PCR, cloning, electrophoresis gels, and cell culture.
Excellent interpersonal skills to interact with both research and technical staff.
Ability to work independently with minimal guidance while consistently exercising good judgment.
Ability to work in an academic team environment.
All CHOP employees who work in a patient building or who provide patient care are required to receive an annual influenza vaccine unless they are granted a medical or religious exemption.