Computational Biologist (Remote) (COVID-19 & Sepsis) - ACESO

at  The Henry M Jackson Foundation

Remote, Oregon, USA - 00000

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Immediate16 Feb, 2022Not Specified19 Nov, 20211 year(s) or aboveData Modeling,Training,Trajectory Analysis,Bioinformatics,Visualization,Management Skills,Epigenomics,Enrichment,Data Analysis,Health Insurance,Dental Insurance,Computational Biology,Genomics,Scripting Languages,Credentials,Life Insurance,Vision InsuranceNoNo
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Description:

JOIN THE HJF TEAM!

HJF is seeking a Computational Biologist (Remote) (COVID-19 & Sepsis) to support the Austere Environments Consortium for Enhanced Sepsis Outcomes (ACESO), located at the Rockledge Office in Bethesda, MD, although alternate arrangements will be considered. HJF provides scientific, technical, and programmatic support services to ACESO.
ACESO has built a global clinical research platform to study the host-response to severe infection and to translate results into action. By applying the required skills to genomic datasets, the successful candidate will drive the generation and testing of hypotheses leading to new biological insights into inflammatory syndromes including sepsis and Covid-19.
The ideal candidate will collaborate with laboratory and clinical scientists to generate, visualize, and interpret genomic data. The candidate will also work closely with other ACESO data scientists to integrate large, multi-omic datasets consisting of proteomic, phosphoproteomic, and metabolomic data from longitudinal cohorts of patients. The candidate will need to communicate results on a regular basis with the science team and key stakeholders, as well as prepare manuscripts for publications in peer-reviewed journals and presentations at scientific conferences.

REQUIRED KNOWLEDGE, SKILLS AND ABILITIES:

  • Experience or training in computational biology, genomics, and bioinformatics to analyze complex biological datasets, such as but not limited to next generation sequencing, single-cell sequencing, and epigenomics.
  • Understanding of NGS pipelines including protocols, alignment, quantification, normalization and quality assurance and control measures as demonstrated by peer-reviewed publications.
  • Experience with inspection of genomic data including contemporary genome browsers and viewers.
  • Routinely uses data mining tools such as gene set enrichment, connectivity map or similar.
  • Understanding of single-cell sequencing data analysis, visualization, and tools for kinetic and trajectory analysis.
  • Familiarity with programming and scripting languages appropriate for scalable data analysis (e.g., Python, R, Unix).
  • Knowledge of statistics and data modeling.
  • Extensive knowledge of NGS technologies and the breadth and future of genomics.
  • Ability to communicate effectively; ability to make effective presentations; excellent verbal, written and interpersonal skills.
  • Team oriented with ability to lead a project.
  • Strong time management skills; can prioritize multiple assignments and ability to meet deadlines of projects.
    Minimum Education: Master’s degree required. PhD with demonstrated experience in the biological sciences strongly preferred.
    Minimum Experience/ Training Requirements: Minimum 0-2 years of experience required.
    Work Environment: This job takes place in an office environment.
    Work Arrangement: This position is 100% remote to start. Ideally to become hybrid after one year.

EMPLOYMENT WITH HJF IS CONTINGENT UPON SUCCESSFUL COMPLETION OF A BACKGROUND CHECK, WHICH MAY INCLUDE, BUT IS NOT LIMITED TO, CONTACTING YOUR PROFESSIONAL REFERENCES, VERIFICATION OF PREVIOUS EMPLOYMENT, ADDRESSES, EDUCATION, AND CREDENTIALS, A CRIMINAL BACKGROUND CHECK, DRUG SCREENING, AND A DEPARTMENT OF MOTOR VEHICLE (DMV) CHECK.

Any qualifications to be considered as equivalents, in lieu of stated minimums, require the prior approval of the Chief Human Resources Officer.
Job Type: Full-time

Benefits:

  • 401(k)
  • 401(k) matching
  • Dental insurance
  • Flexible spending account
  • Health insurance
  • Health savings account
  • Life insurance
  • Paid time off
  • Referral program
  • Retirement plan
  • Vision insurance

Schedule:

  • 8 hour shift

Work Location: Remot

Responsibilities:

  • Serve as subject matter expert for next-generation sequencing (NGS) data generation and analysis pipelines.
  • Assess NGS needs in support of current areas of investigation and implement solutions.
  • Develop data analysis strategies and deploy computational tools for the exploration of large data sets, consisting of RNA sequencing data from longitudinal patient cohorts, single-cell sequencing data and clinical outcome data.
  • Interact with Data Management and Information Technology personnel as necessary to develop required computational resources.
  • Explore novel data representation modes with emphasis on integrating diverse data types.
  • Develops innovative approaches to answer research questions.
  • Work at the interface of biology and technology to address biological questions using advanced NGS methods and approaches.
  • Communicates results on a regular basis with the science team and key stakeholders and prepare presentations and reports as needed.
  • Works with external collaborators at academic and government research institutions to achieve the goals of the program.
  • Assists in the development of the methods sections for protocols, grant applications and manuscripts.
  • Performs other duties as assigned by supervisor and departmental leadership.


REQUIREMENT SUMMARY

Min:1.0Max:6.0 year(s)

Information Technology/IT

Software Engineering

Graduate

Proficient

1

Remote, USA