Bioinformatics System Analyst

Position Objective: Provide services as a Bioinformatics System Analyst in support of the overall functions of the National Institute on Aging (NIA) within the National Institutes of Health (NIH). As a Bioinformatics system analyst at CARD, you will support and extend the CARD Longread sequencing team developing pipelines for data management, processing and analytics.

Duties and Responsibilities:

• Generate and optimize programs and scripts for the analysis of data; create programs and algorithms and develop computational infrastructure resources for organizing and parsing data from large and complex data.

• Provide broad-based programming and analytic support for a wide variety of bioinformatic and research projects.

• Managing and organizing all incoming data files from the Oxford Nanopore longread sequencer and regularly monitoring and evaluating information and data systems that can impact analytical results 1

• Develop scripts for consistency, accuracy and reproducibility Perform computational analysis of, and interpret results.

• Provide reports based on analysis of scientific data.

• Establishing new automated analysis methods and applying these to large-scale long-read sequencing datasets 3

• Collaborate with scientists to design, analyze, manage and interpret all types of data.

• Work with staff on planning of experiments, and data analysis for internal and collaborative projects; use bioinformatics expertise to advise and help bench scientists on experimental design and trouble-shooting.

• Maintain proper and detailed documentation of the analysis performed and report results at lab meetings.

• Prepare scientific reports and progress reports; assemble data to prepare tables, graphs and slides; conduct scientific and program related information searches and report results.

• Processing the raw long-read sequencing data and running it through analysis pipelines. 2

• Work closely with lab personnel to process and organize data for small and medium size projects. Utilize and adapt existing bioinformatics techniques to check for trends and patterns in the data. Perform data processing and data analysis with existing computational and statistical methods.

• Work with staff on the development and maintenance of bioinformatics tools, scripts and pipe-lines for data.

• Analyze and evaluate data cleaning and harmonization needs in the using a variety of descriptive statistics and analytic methods.

• Instruct staff in computational analysis of data.

• Provide training of students, new investigators, and other laboratory personnel in the use of techniques, procedures and equipment to complete the objectives of the laboratory.

• Work with staff, collaborate with outside researchers, and contribute to positive overall teamwork; teach Bioinformatics principles and methodologies.

• Collaborate with biologists, statisticians and/or other bioinformaticians in the design of models summarizing/explaining experimental data.

• Attend group meetings; present findings; author publications resulting from projects.

• Work products and documents related to managing and organizing all incoming data files from the Oxford Nanopore longread sequencer and regularly monitoring and evaluating information and data systems that can impact analytical results - Ad-Hoc

• Work products and documents related to processing the raw long-read sequencing data and running it through analysis pipelines. - Ad-Hoc

• Work products and documents related to establishing new automated analysis methods and applying these to large-scale long-read sequencing datasets - Ad-Hoc

• Work products and documents related to develop scripts for consistency, accuracy and reproducibility. - Ad-Hoc

Basic Qualifications:

• Bachelor's degree in biology or a related area and equivalent experience/training.

• Knowledge of applications programming, scripting and web development (UNIX, R, or Python).

• Knowledge of common workflow languages like CWL or WDL.

• Experience with use of genomic sequencing data workflows .

• Demonstrated knowledge of bioinformatics methods and data structures.

• Demonstrated ability to work with large data sets.

Minimum Qualifications:

• Familiarity with high performance computing and cloud computing, terra preferred.

• Strong critical thinking and problem solving skills.

• Interpersonal skills sufficient to work effectively and diplomatically with both internal and external technical and non-technical personnel at various levels.

• Ability to communicate technical information and scientific concepts in a clear and concise manner.

• Ability to self- motivate, learn quickly, pay attention to detail and meet deadlines

• Ability to multi-task and pay close attention to detail.

• Excellent analytical, organizational and time management skills.

• Strong communication skills, both oral and written.

*This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required by this position.

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed above are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

GAP Solutions provides reasonable accommodations to qualified individuals with disabilities. If you need an accommodation to apply for a job us at ~~~ . You will need to reference the requisition number of the position in which you are interested. Your message will be routed to the appropriate recruiter who will assist you. Please note, this email address is only to be used for those individuals who need an accommodation to apply for a job. Emails for any other reason or those that do not include a requisition number will not be returned.

GAP Solutions is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to their race, ethnicity, ancestry, color, sex, religion, creed, age, national origin, citizenship status, disability, medical condition, military and veteran status, marital status, sexual orientation or perceived sexual orientation, gender, gender identity, and gender expression, familial status, political affiliation, genetic information, or any other legally protected status or characteristics.

This position is contingent upon contract award.

Requisition ID: 6637