Bioinformatics Analyst I - Bethesda, United States - Frederick National Laboratory

Frederick National Laboratory

Verified Company

Bethesda, United States

2 weeks ago

Posted by:

Mark Lane

beBee recruiter

Description

Bioinformatics Analyst I

Job ID:
req3931

Employee Type:
exempt full-time

Division:
Bioinformatics and Computational Science

Facility:

NIH

Location:

NIH Campus 9000 Rockville Pike, Bethesda, MD 20892 USA

Accountability, Compassion, Collaboration, Dedication, Integrity and Versatility; it's the FNL way.

PROGRAM DESCRIPTION

The Frederick National Laboratory is dedicated to improving human health through the discovery and innovation in the biomedical sciences, focusing on cancer, AIDS and emerging infectious diseases.

The Pediatric Oncology Branch (POB) in the Center for Cancer Research (CCR) is dedicated to improving outcomes for children and young adults with cancer and genetic tumor predisposition syndromes.

They conduct translational research that spans basic science to clinical trials.

The program has a need to hire a Bioinformatics Analyst for developing data analysis pipelines as well as to perform integrated analysis of both in-house and publicly available Next Generation Sequencing (NGS) datasets.

This analyst will work in close collaboration with other POB investigators, POB scientists, other bioinformatics data analysts, and external collaborators.

KEY ROLES/RESPONSIBILITIES
The Bioinformatics Analyst I is responsible for providing collaborative bioinformatics support to the investigators in the POB and MyPART program at the National Cancer Institute (NCI)

Key responsibilities include:

Develop, manage, and maintain Data Management pipelines for nextgeneration sequencing data generated by the program (eg. genomics, transcriptomics, proteomics, epigenetic data)
Maintain detailed documentation of pipeline runs and validation/benchmarking projects
Collect and review data from multiple sources; analyze and interpret data and results; provide reports based on analysis of scientific data, and report research outcomes to make recommendations for future work
Develop novel methods to analyze and interpret "omics" data for endoRBD research
Evaluate and optimize computational methods that will improve the analysis and interpretation of genomic data
Develop databases for collecting inhouse and publicly available datasets for endoRBD research
Work in conjunction with the CCR Collaborative Bioinformatics Resource (CCBR) and ABCS team to adopt best practices for analysis of various NGS data and customize existing workflows
Work with staff on data visualization to support the preparation of presentations and manuscripts for submission to scientific journals
Consult with members of POB/MyPART to guide experimental design, assist PIs in submitting data to public genomic databases, such as GEO, and dbGaP, in compliance with the
NIH Genomic Data Sharing Policy
Work with staff to utilize
NIH Biowulf computer clusters to process data streamed off the next generation sequencers
Train fellows and other staff to use NGS and other genomic analysis tools
Attend branch and lab meetings, and provide guidance and inputs on expt. design and accurate statistical inference
Other duties as required
The Bioinformatics Analyst I is expected to work effectively as a member of a team; coordinate activities among other groups located at the Bethesda, Frederick, Rockville, and Gaithersburg NCI campuses; follow sound scientific practices and maintain effective documentation of activities and analyses. Majority of time will be spent on the main
NIH campus in Bethesda.

BASIS QUALIFICATIONS

To be considered for this position, you must mínimally meet the knowledge, skills, and abilities listed below:

Possession of Bachelor's degree from an accredited college/university according to the Council for Higher Education Accreditation (CHEA) or four (4) years relevant experience in lieu of degree. Foreign degrees must be evaluated for U.S. equivalency
No work experience required with a Bachelors degree
Ability to obtain and maintain a security clearance

PREFERRED QUALIFICATIONS

Possession of a Masters' or PhD degree in any quantitative science is preferred
Two (2) years of progressively responsible experience
Commitment to solving biological problems and communicating these solutions
Ability to multitask across projects
Experience in submitting data sets to public repositories
Management of large genomic data sets including integration with data available from public sources
Prior customerfacing role
Record of scientific achievements including journal publications and conference presentations

Commitment to Diversity

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law.

Leidos will also consider