RockvilleMDRecruiter Since 2001
the smart solution for Rockville jobs

Computational Scientist I - Genome Wide Assoc. Studies (GWAS) (req1646)

Company: Frederick National Laboratory
Location: Rockville
Posted on: July 15, 2021

Job Description:

KEY ROLES/RESPONSIBILITIES

  • Perform large-scale genotyping data QC, phasing and imputation, population structure testing, association studies, meta-analysis, and fine mapping
  • Contribute to building, benchmarking, and maintaining bioinformatics pipelines to facilitate high-throughput genomic data analysis in HPC and cloud environments
  • Harmonize and maintain diverse datasets and associated metadata, including performing meta-analyses of data run on multiple platforms and/or externally generated data
  • Thoughtfully synthesize results into clear presentations (including QQ-plots, Manhattan plots) and concise summaries of work to support recommendations for next steps
  • Perform advanced research including multiplicative interaction studies, pathway-based studies, and integrative analyses from multiple platforms and various data types
  • Collaborate closely with DCEG PIs on scientific manuscript development, submission, and revision activities with significant co-authorship and potentially first authorship opportunities

BASIC QUALIFICATIONS
  • Possession of a Doctoral degree from an accredited college/university in bioinformatics, statistics, genetics, computational biology or related field. Foreign degrees must be evaluated for U.S equivalency.
  • No experience required beyond a doctoral degree.
  • In-depth knowledge of genome-wide association studies and interpretation, and applied computational research on large multivariate datasets
  • Expertise in algorithmic implementation, statistical programming and data manipulation, using e.g. R/Bioconductor, Python, MATLAB, and a wide range of contemporary, open-source bioinformatics tools (e.g. PLINK, SNPTEST, IMPUTE2, BEAGLE, UCSC Genome Browser, Michigan Imputation Server, etc.)
  • Proficiency with Bash, Python, Perl, R, C/C++, and/or JAVA
  • Team-oriented with excellent written and verbal communication skills, organizational skills, and attention to detail; ability to organize and execute multiple projects in parallel
  • Demonstrated ability to proactively remain up-to-date in current bioinformatics techniques and resources, and identify and benchmark novel software solutions against established reference datasets
  • Experience in constructing practical computational tools/pipelines for data parsing, quality control, modelling, and analysis for large-scale genetic or genomics datasets
  • Ability to obtain and maintain a security clearance

PREFERRED QUALIFICATIONS
  • Familiarity with publicly available data sources (such as dbGaP, GDC/TCGA, ENCODE, 1000 Genomes, gnomAD/ExAC, TARGET, GTEX) and diverse genomic annotations
  • Experience managing large datasets and computational tasks in a Linux-based high-performance computing environment
  • Pipeline development experience, including collaborative coding and use of source control (e.g. git)
  • Experience with Snakemake, make, or other workflow management systems
  • Experience with containerization (e.g. Singularity, Docker)
  • Experience with Google Cloud, AWS, or managed cloud environments
  • Experience in the field of molecular and population genetics with a strong publication record


Keywords: Frederick National Laboratory, Rockville , Computational Scientist I - Genome Wide Assoc. Studies (GWAS) (req1646), Other , Rockville, Maryland

Click here to apply!

Didn't find what you're looking for? Search again!

I'm looking for
in category
within


Log In or Create An Account

Get the latest Maryland jobs by following @recnetMD on Twitter!

Rockville RSS job feeds