Bioinformatics Scientist

Job Description:
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. • 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, coneive 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.

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.

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