BioInformatics Analyst

At Geneva, we are always on the search for top talent. While this role is not associated with a current opening, one may become available in the near future. Resumes are reviewed on an ongoing basis, and you could be contacted for this role or similar, ut the Position The Bioinformatics Analyst will use computational and statistical tools to interpret vast biological datasets to support scientific research and discoveries.

Duties will include designing algorithms, databases, collaborating with researchers, and analyze and communicate complex findings through visualizations and reports.

QUALIFICATIONS Masters Degree in Bioinformatics, Computational Biology, Genetics, Pre-Med/Nursing, or a related scientific field preferred

AHIC (Health Informatics Certification) is a plus1 year medical paraprofessional experience1 year working in clinical information cs department at an accredited university

Minimum 2-3 years of combined experience next generation sequencing (NGS) data analysis, adept in the development of Next-Generation Sequencing (NGS) analysis pipelines and large-scale data management and processing

Minimum 3 years of experience in full software development life cycle with strong skills in software analysis, database design, data modeling, different data types architecture development and data management

Experience working with internal and/or external stakeholders on solution design and implementation

Programming languages: R, PHP, JavaScript, Perl, Python, SQL, Shell Scripting and Java. Computing Environments: HPC clusters, SLURM, Linux, Mac OS X, Windows Working knowledge of biomedical ontologies (i.e. UMLS, RxNorm, SNOMED CT)
Working knowledge and understanding of unstructured, semi-structured, and structured healthcare data Strong familiarity with surgical and molecular pathology repotts, next-generation sequencing report, or clinician notes

Demonstrated competency in oral and written communication

Must be organized, attentive to detail and reliable, possess good judgment and a positive, friendly & professional demeanor

Must be flexible with changing priorities and able to communicate in a diplomatic and professional manner

RESPONSIBILITIES Translate PI/study needs through design and configuration of software capabailities to deliver desired outcomes and customization of use Modify software application design as needed to meet PI/study needs

Design & implement algorithms fpr data processing, and develop & maintain bioinformatics databases

Work closely and collaborate with researchers, computer scientists, and others involved to design experiments and interpret results

Utilizes high performance computing assets and large data bases (big data)
Analyses of problems to develop integrated solutions involving computer hardware and software

Applies theoretical expertise and innovation to create or apply new technology, such as adapting principles for applying computers to new uses Incorporate problem solving techniques to develop integrated solutions involving computer hardware and software

Identify complex problems and review related information to develop and evaluate options and implement solutions

Use logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions or approaches to problems

Perform highly complex network tasks and systems studies

Analyze and compare existing systems and subsystems, and make recommendations to increase scope and performance

Oversee laboratory information systems and develop new methods for analyzing large, complex data sets Maintain up-to-date knowledge of clinical informatics
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