BACKGROUND

RESPONSIBILITIES

• Participate mainly in a DARPA-funded multi-institutional multi-omics project aiming to develop epigenetic signatures and predictive models for detecting exposure to various types of hazardous agents by using bioinformatics, statistics, and machine-learning approaches.
• Lead analysis of systems-level data such as next-generation sequencing and single-cell sequencing for the DARPA and other basic and translational research projects at CPD.
• Participate in writing reports, manuscripts, and grant proposals.
• Support and collaborate with both internal and external researchers.

REQUIREMENTS

• PhD in science or related fields with experience in biological research projects and translational and basic science, experimental design, data analysis, and instrumentation.
  
  • Assistant Research Scientist level: PhD degree and 3 years of experience
  • Associate Research Scientist level: PhD degree and 5 years of experience
  • Research Scientist level: PhD degree and 7 years of experience
• Hands-on research experience in analyzing high-content biological data (e.g. next-generation sequencing or high-throughput screening data), preferentially epigenetics data
• Must hold a US Citizenship and eligible to handle CUI (controlled and unclassified) data

• Regular activities require ability to manage multiple tasks at one time, to be able to prioritize tasks; to manage conflict; to interact in a team environment; and to communicate through verbal and written work.
• Activities are performed in an environmentally controlled office setting and laboratory subject to extended periods of sitting, keyboarding and manipulating a computer mouse; required to stand for varying lengths of time and walk moderate distances to perform work.
• Frequent bending, reaching, lifting, pushing and pulling up to 25 pounds.
• Regular activities require ability to quickly change priorities, which may include and/or are subject to resolution of conflicts.
• Ability to clearly communicate verbally, read, write, see and hear to perform essential functions.
• May be required to wear personal protective equipment before entering laboratories such as lab coat, gloves, safety glasses, closed toe shoes, and respirator.

PREFERENCES

• PhD degree in bioinformatics, computational biology, biostatistics, genomics, molecular biology or related fields, and a proven track record of novel research
• Research experience in biomarker discovery, statistical modeling, and/or machine-learning
• Proficiency in scientific programming/scripting (e.g., Python or Java), bioinformatics/biostatistics packages (e.g., R/Bioconductor and Biopython), and SQL database
• Knowledge on biological databases (e.g. gene annotations, pathways, and interactomes) and genomic/proteomic data resources (e.g. NCBI, Ensembl, COSMIC, and UniProt)
• An efficient team player with strong communication, presentation, and interpersonal skills
• Detail oriented, flexible, self-motivated, excellent troubleshooting skills
• Experience in writing scientific documents (e.g. reports, manuscripts and grant proposals)
• Wet lab experience in molecular and cellular biology
• Experience in development of scientific software and databases
• Experience in high-content data visualization/analysis (e.g. network analysis)
• Excellent written and verbal communication skills; able to articulate compelling and impactful science
• Adept at working in interdisciplinary scientific teams

COMPENSATION

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