Skip to main content

This job has expired

You will need to login before you can apply for a job.

Bioinformatics Head, Cancer Genomics Research Laboratory

Employer
Frederick National Laboratory for Cancer Research
Location
Rockville, MD
Start date
Nov 15, 2021

View more

Job Details

PROGRAM DESCRIPTION

We are seeking an enthusiastic, creative, and seasoned bioinformatics professional to join our leadership team and direct the exceptional Bioinformatics Group at the Cancer Genomics Research Laboratory (CGR). CGR has a diverse team of bioinformatics and computational scientists that support all areas of bioinformatics and data analysis (infrastructure, data QC, pipeline development and maintenance, data curation and sharing, methodology development, statistical analyses, machine learning approaches, and scientific interpretation).

CGR investigates the contribution of germline and somatic genetic variation to cancer susceptibility and outcomes in support of the NCI's Division of Cancer Epidemiology and Genetics (DCEG), the world's most comprehensive cancer epidemiology research group. CGR is located at the NCI-Shady Grove campus in Gaithersburg, MD and is operated by Leidos Biomedical Research, Inc. We care deeply about discovering the genetic and environmental determinants of cancer, and new approaches to cancer prevention, through our contributions to the molecular, genetic, and epidemiologic research of the 70+ investigators in DCEG. Our bioinformaticians have both the passion to learn and the opportunity to apply their skills to our rich and varied datasets, generated in support of DCEG's multidisciplinary family- and population-based studies. Working in concert with the epidemiologists, biostatisticians, and basic research scientists in DCEG's intramural research program, CGR conducts genome wide association studies (GWAS), targeted, whole-exome, and whole-genome sequencing studies, including analysis of germline and somatic variants, transcriptomics, epigenomics, structural variation, copy number variation, metagenomics, viral genomics, and more. The successful candidate will have responsibility for the day-to-day management of all bioinformatics activities and will be tasked with delivering high quality, well annotated and interpretable datasets to our DCEG collaborators. He/she must demonstrate scientific and technical leadership for the group and horizon scanning for future approaches, as well as establishing, maintaining, and monitoring the key performance indicators of the team. If you have experience managing a diverse group of interdisciplinary scientists, then come lead our talented team of bioinformaticians dedicated to understanding the genetics of cancer!

KEY ROLES/RESPONSIBILITIES

  • Function as a scientific thought leader within the CGR bioinformatics group and the CGR leadership team, and manage collaborative analytical efforts with DCEG investigators with an eye towards scientific productivity and reproducibility
  • Provide technical expertise within a highly collaborative environment and support and establish a culture of engagement, innovation, and continuous improvement
  • Collaborate closely with DCEG PIs on scientific manuscript development, submission, and revision activities with significant co-authorship and potentially first authorship opportunities
  • Guide the development, execution, and continual improvement of robust, tested pipelines for a wide variety of computational genomics applications, with an emphasis on scalability, portability, and thorough documentation
  • Utilize computational biology methods to integrate, analyze and visualize results with data sets obtained from a wide variety of genotyping platforms including whole-genome, methylation and targeted genotyping data generated by multiple applications, including Illumina Infinium, Illumina EPIC, TaqMan, qPCR and others
  • Utilize computational biology methods to integrate, analyze and visualize results with data sets obtained from a wide variety of sequencing platforms including whole-genome, exome, transcriptome, methylome, microbiome, and targeted sequencing data generated by multiple technologies, including Illumina, Pacific Biosciences, Ion Torrent, Oxford Nanopore and others
  • Manage the dissemination of data to DCEG investigators and other collaborators, including adequate technical and scientific annotation required for interpretation. Support posting of data sets to public data repositories (dbGaP/SRA/GDC) as required based on NIH genomic data sharing policies and in concert with existing ontologies and FAIR principles
  • Develop and lead strategic approaches for IT infrastructure support, including management of on-prem resources, archiving strategies for all data streams with CGR and NCI staff utilizing FAIR data principles, implementation of appropriate cloud resources, software install support and data migration support
  • Manage and coordinate with additional resources throughout DCEG, including fellows, post-docs, other contract resources to support an integrative, collaborative, collegial environment

BASIC QUALIFICATIONS

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

  • Possession of a Bachelor's degree from an accredited college/university according to the Council for Higher Education Accreditation (CHEA) in computer science, software engineering, bioinformatics, statistics, or related field or four (4) years relevant experience in lieu of degree. Foreign degrees must be evaluated for U.S. equivalency
  • In addition to educational requirements, a minimum of eight (8) years progressively responsible scientific software engineering and/or complex system management/bioinformatics experience, including six (6) years of experience supervising or leading teams or projects
  • Team-oriented with excellent written and verbal communication skills, organizational skills, and attention to detail; ability to organize and execute multiple projects in parallel both independently and as part of working groups, interact effectively with cross-functional teams, including laboratory, LIMS, project management, data scientists, epidemiologists and biostatisticians
  • Demonstrated experience in successfully managing bioinformaticians and serving as a mentor for other bioinformatics and/or software developer staff members on analysis approaches and best practices
  • Proven ability and demonstrated strategies to stay current with new bioinformatics analysis tools and software technologies
  • Experience managing complex pipelines, including support of best-practice full lifecycle software development experience and source code management (Git, SVN, unit testing) is required
  • Proven experience and ability to benchmark tools and compare performance to existing pipelines
  • Familiarity with workflow management systems and environment/dependency management tools
  • Experience managing large computational tasks in a Linux-based high-performance computing environment
  • Experience with a variety of programming languages and environments such as C/C++, Java, or Rust, and at least one scripting language such as Bash, Python, Perl, or R
  • Ability to obtain and maintain a security clearance

PREFERRED QUALIFICATIONS

Candidates with these desired skills will be given preferential consideration:

  • Masters or PhD strongly preferred
  • Familiarity with diverse primary sequencing tools (e.g. BWA/Novoalign, tophat/star/bowtie, bedtools, GATK suite, SV/CNV detection, somatic/low AF mutation detection, IGV, Samtools), Long reads (e.g. PacBio, Oxford Nanopore) based analysis (repeat analysis, assembly, large mutation detection, phasing), Microbiome analysis tools (e.g. QIIME II, DADA2, MetaPhlAn), GWAS QC and analysis tools (e.g. KING, GRAF, EAGLE, minimac, plink, Michigan Imputation Server, SNPtest, SAIGE, BOLT-LMM, VCFtools), and annotation tools (e.g. snpEff, Annovar, SIFT, PolyPhen)
  • Experience with Google Cloud, AWS, or managed cloud environments
  • Experience with CI/CD (GitLab CI/CD, GitHub Actions, Travis CI, CircleCI, etc.)
  • Experience in using project management approaches for documentation and communication (Fogbugz, JIRA, Teams, Slack) to document/summarize project status and development activities
  • Knowledge of various DevOps tools and technologies, such as Docker/Singularity, Kubernetes, Ansible/Terraform
  • Familiarity with relational and NoSQL databases design, data warehousing, and data modeling (e.g. MySQL, Amazon Redshift, MongoDB, Elasticsearch, FileMaker)
  • Hands-on experience with commercial and open-source bioinformatics and genomics analysis software (IVA, GoldenHelix, Sentieon)
  • Ability to incorporate multiple data sources for use in downstream analysis, including microarray genotype data, epidemiological data, publicly available data sources (e.g. TCGA, ENCODE, 1000 Genomes, COSMIC, TopMed, gnomAD, ESP) and diverse genomic annotations.
  • Experience with prioritization in a high-pressure environment

Company

A rewarding career with global impact

Whether you’re an expert in your field or just starting out, we have a career opportunity for you. We’re always looking for people to join us in fulfilling the mission of the Frederick National Laboratory: discovery, innovation, and success in the biomedical sciences.

Our team of 2,400+ scientists, technicians, administrators, and support staff work at the forefront of basic, translational, and preclinical science, with a focus on cancer, AIDS, and other infectious diseases.

We collaborate with colleagues across the National Cancer Institute, National Institutes of Allergy and Infectious Diseases, and others throughout the National Institutes of Health. We also engage with extramural investigators in academia, government and industry.

Your path to joining our team begins with the desire to work for the only national laboratory dedicated to biomedical research. Our employees share a common desire to help make a difference in cancer research and public health concerns. As you search for a career that fits your education, skills, and abilities, explore the core values that guide us and emphasize work-life balance.

Discover why joining the Frederick National Laboratory team could be the most important career step you take

 

 

Instagram   Facebook  Twitter

Company info
Website
Phone
301-846-1000
Location
8560 Progress Drive
Frederick
MD
21701
US

Get job alerts

Create a job alert and receive personalized job recommendations straight to your inbox.

Create alert