Date Created: August 12, 2020 - 3:36pm
Position Summary
At the Englander Institute for Precision Medicine (EIPM), our mission is to use Next Generation Sequencing (NGS) data to give late-stage cancer patients therapeutic options to prolong and better their quality of life. In just four years we have built a CLIA-approved genomics test that has already been used on over 800 patients. As a Bioinformatics Analyst at IPM, you will be able to immediately impact and build data products aimed at expanding the scope of our genomics platform. You will get to create new ways of improving aspects of the genomics platform such as sample collection, sequencing, genomic data analysis, and reporting. You will also get to work with a diverse team of software engineers, bioinformaticians, researchers, and physicians, and create products that deepen our understanding of how cancers evolve and the best treatment options for them.
The Bioinformatics Analyst will perform statistical and integrative data analysis for genomics and clinical data for the Institute for Precision Medicine (EIPM). You will arm IPM with data and insights to help enhance the clinical sequencing portfolio. You’ll be focused on improving our Whole Genome analysis pipeline (SNVs, CNVs, Structural Variant calling) for our Whole Genome test. You should be passionate about finding inefficiencies in how we generate clinically actionable insights, and enjoy brainstorming and building workflow solutions.
Job Responsibilities:
- Conducting and maintaining systematic documentation of clinical-enterprise software pipelines for compliance using (git/svn/etc.)
- Assisting in the development of new software tools and build pipelines for novel bioinformatics analyses
- Assisting in development and maintenance of genomic and clinical databases
- Creating web user interfaces for to explore large data stores, combining genomic and clinical data and statistical analyses to help other IPM team members understand insights form theses data stores
- Performing statistical and integrative data analysis on genomics and clinical data
Education:
Bachelor’s Degree in related field
Experience:
- Demonstrated ability to run computationally intensive jobs on HPC and Cloud computing environments
- Previous experience in designing and building bioinformatics workflows
- Proficiency in programming in Java, C, C++
- Experience in web user interface applications and database design
- Knowledge of clinical IT systems (OMOP, HL7 messaging, etc.)
Knowledge, Skills and Abilities:
- Driven and Self-motivated. Willingness to tackle and drive execution of challenging projects
- Ability to learn and deliver work in fast-paced and diverse environment
- Comfortable with communicating and working alongside a diverse team of scientists and medical professionals
- BS in Bioinformatics, Biomedical Engineering, Computer Science or Related Field
- Minimum 3 years experience working with next generation sequencing data and relevant tools (GATK, samtools, BWA, TopHat, STAR,etc.)
- Knowledge and proficiency of UNIX
- Proficiency in at least one scripting language : (R, Ruby, Python, Perl)
- Experience using Git/SVN
To Apply:
Please send cover letter, CV and contact information for at least two referees to Kenneth Wha Eng kwe2001@med.cornell.edu