Bioinformatician/Research Data Analyst (Hybrid or Remote)

Key Skills

Bioinformatics, Biostatistics, C Programming, Data Analytics, Effective communication skills, Java Programming, Linux Operating system, Machine learning techniques, MATLAB Programming, MySQL, Perl Programming, Python Programming, R Programming, Unix Operating system

Job Description

The successful candidate will be part of an interdisciplinary research team developing novel technological and methodological approaches to improve the diagnosis, treatment and earlier detection of cancer. He/she will analyze and interpret large sequencing datasets by applying and developing bioinformatics and statistical methods whole genome/exome sequencing, RNA-seq, ATAC-seq, single cell, and circulating tumor DNA (ctDNA) data. The successful candidate will interact closely with other computational and experimental biologists and clinicians to test, validate, and refine hypotheses. This is a fantastic opportunity for a motivated bioinformatician, computational genomicist to join a dynamic team with significant opportunities for scholarship and leadership.

Duties include:

• Prioritize and extract data from a variety of sources such as notes, survey results, medical reports, and laboratory data, and maintain its accuracy and completeness.
• Determine additional data collection and reporting requirements.
• Design and customize reports based upon data in the database. Oversee and monitor regulatory compliance for utilization of the data.
• Use system reports and analyses to identify potentially problematic data, make corrections, and eliminate root cause for data problems or justify solutions to be implemented by others.
• Create complex charts and databases, perform statistical analyses, and develop graphs and tables for publication and presentation.
• Serve as a resource for non-routine inquiries such as requests for statistics or surveys.
• Test prototype software and participate in approval and release process for new software.
• Provide documentation based on audit and reporting criteria to investigators and research staff.

* - Other duties may also be assigned

DESIRED QUALIFICATIONS:

• Bachelor’s degree (or higher) in Bioinformatics, Computer Science or a related field with two years of relevant experience
• MS or PhD in bioinformatics-related field
• Strong background in bioinformatics and biostatistics, including analysis of high-throughput sequencing data
• Experience working within a UNIX/Linux environment
• Fluency in programming languages such as Perl, Python, Java, R, C, Matlab; MySQL
• Excellent communication and team skills and fluency in both spoken and written English
• Familiarity with machine learning, information theory and signal processing.
• Experience with algorithm development
• Familiarity with basic molecular biology
• Background in cancer biology
• Expertise in bioinformatics, computational genomics, evolutionary biology, accompanied by a relevant publication record.
• Proficiency with high performance computing and multiple programming languages (C, Python, R).
• Experience with high-throughput genome sequence data (WES, WGS, RNA-seq, ATAC-seq)
• A background in evolutionary biology and familiarity with phylogenetics techniques.
• Experience with high-performance computing, database management.

EDUCATION & EXPERIENCE (REQUIRED):

Bachelor's degree and three years of relevant experience or combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering.

KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):

• Substantial experience with MS Office and analytical programs.
• Excellent writing and analytical skills.
• Ability to prioritize workload.
• Relevant subject matter knowledge.

PHYSICAL REQUIREMENTS*:

• Sitting in place at computer for long periods of time with extensive keyboarding/dexterity.
• Occasionally use a telephone.
• Rarely writing by hand.