Frederick National Laboratory for Cancer Research

Computational Biologist

Location
Frederick, MD
Posted
Jun 03, 2022
Ref
req2778
Discipline
Science/R&D, Biology
Hotbed
BioCapital
Required Education
Bachelors Degree
Position Type
Full time

Computational Biologist

Job ID: req2778
Employee Type: exempt full-time
Division: Applied & Development Research Program
Facility: Frederick: Ft Detrick
Location: PO Box B, Frederick, MD 21702 USA

The Frederick National Laboratory is a Federally Funded Research and Development Center (FFRDC) sponsored by the National Cancer Institute (NCI) and operated by Leidos Biomedical Research, Inc.  The lab addresses some of the most urgent and intractable problems in the biomedical sciences in cancer and AIDS, drug development and first-in-human clinical trials, applications of nanotechnology in medicine, and rapid response to emerging threats of infectious diseases.

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

PROGRAM DESCRIPTION

The Frederick National Laboratory is a Federally Funded Research and Development Center (FFRDC) sponsored by the National Cancer Institute (NCI) and operated by Leidos Biomedical Research, Inc. The Laboratory of Human Retrovirology and Immunoinformatics (LHRI), Applied / Developmental Directorate, conducts Basic research, Translational Research, and Bioinformatics research.  The goals of LHRI studies are to support NIAID/NIH clinical research for HIV or AIDS related virus-infected individuals. LHRI has characterized the roles of novel mutations in the clinical isolated HIV strains, investigated the function of integrated proviral DNA, and developed a novel therapy for patients infected with multiple-class drug-resistant (MDR) HIV variants.

We are seeking an enthusiastic, creative, and collaborative computational biologist to support bioinformatics pipeline and application development for our broad portfolio of HIV, SARS-CoV2 and other clinically significant viruses’ studies to provide collaborative bioinformatics support to the investigators in LHRI and other research laboratories at the ADRD, NIAID, NIH. If you have experience designing and deploying robust, reproducible, production-quality pipelines and application, then come join our talented team of bioinformaticians.

KEY ROLES/RESPONSIBILITIES

  •  Analyze genomics data to support the basic and translational research of HIV, SARS-CoV2 and other clinically relevant viruses.
  •  Support new concept development activities to expand the utility of operational genomics research.
  •  Develop and maintain robust, tested pipelines for a wide variety of bioinformatics applications.
  •  Work with scientists and bioinformaticians to model and automate data analytics, visualization, and reporting workflows.

BASIC QUALIFICATIONS

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

  • Possession of a PhD degree in informatics, bioinformatics, information systems, computational biology, computer science, statistics or closely related field required from an accredited college/university according to the Council for Higher Education Accreditation (CHEA). Foreign degrees must be evaluated for U.S. equivalency.
  • Experience developing and executing customized, scalable, high-throughput sequencing pipelines (i.g. Illumina, PacBio).
  • Experience analyzing second- and third-generation sequencing platform data, for example Illumina, Oxford Nanopore.
  • Competent in using Linux/Unix operating system command line interface.
  • Proficiency in at least two of the following programming languages: Perl, Python, R, Java and C/C++.
  • Familiarity with relational databases design, data warehousing, and data modeling (e.g. MySQL).
  •  Demonstrated experience with writing technical documentation of software.
  • PREFERRED QUALIFICATIONS

    Candidates with these desired skills will be given preferential consideration:

    •  Experience with Nextflow, WDL or other workflow management systems.
    •  Experience with software testing types including unit, integration, regression, and acceptance tests, as well as related packages (e.g. unittest, pytest, TAP).
    •  Knowledge of various DevOps tools and technologies, such as Docker/Singularity, Kubernetes, Ansible/Terraform.  
    • Experience in web application development, familiar with HTML, CSS, JavaScript, jQuery, Django or other web frameworks.

    Equal Opportunity Employer (EOE) | Minority/Female/Disabled/Veteran (M/F/D/V) | Drug Free Workplace (DFW)

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