Bioinformatics Analyst in US-Remote

  • Title: Bioinformatics Analyst
  • Code: RCI-27380
  • RequirementID: 120808
  • Location: US-Remote
  • Posted Date: 09/04/2024
  • Duration: 6 Months
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  Job Description

Bachelor’s,  Master’s or PhD degree will work

 

Candidate should be flexible for early and late meetings and discussions

 

Candidate should be able to work in Central time zone (Preferred) but manager is open to candidates from EST MST and PST time zone as long as Candidate is flexible for early and late meetings and discussions and able to work in CST hours

  • Whole genome sequencing is a must have
  • Working in well-defined protocols
  • Client Illumina sequencers
  • Python exp needed
  • Attention to details needed
  • 40-50% will be involved working in std pipelines and downstream analysis of validation pipelines and generating reports
  • Will be presenting data to scientists as well
  • Unix environment exp
  • Work on Data processing, Data visualization, data Mapping
  • Running standard documented pipelines and generate reports (Must Have)
  • Candidate can be in any time zone
  • CLIA and CAP lab exp needed
  • Strong R experience
  • Using standard NGS open-source tools
  • HPC (High performance computing) exp
  • Ability to communicate results to scientists with broad range of expertise
  • Someone who has maturity and exp
  • Genomics sequencing
  • Working with machine learning applications
  • Previous exp working in lab or industry setting
  • Comfortable writing standardized reports
  • Work with SAN tools (sequence analysis tools)

Top skills

  • Data mapping, Visualization
  • CLIA and CAP lab environment experience
  • Whole genomic seq data experience
  • Omics data exp will be a plus (Transcriptomic) (Not a must have)

Duties:

  • We have an exciting contract opportunity for a Bioinformatics analyst within the Genomics Research Center to support our internal research team.
  • The successful candidate will be part of the Emerging Technology Team and will be responsible for all aspects of bioinformatics analysis for a variety of novel and standard NGS experiments including quality control, platform validation, differential gene/protein expression, whole genome mapping and variant calling.
  • The successful candidate will work closely with multiple senior computational biologists to support data processing and analysis.
  • Careful attention to details, timely delivery of results, and ability to handle multiple projects are essential part of the ideal candidate.
  • This candidate should also have demonstrated previous experience analyzing variety of different Omic data, especially Whole Genome Sequencing (WGS), be comfortable using R/Python for data wrangling, and possess excellent communication skills.

What hours and days will this person be working

Typically between 9AM-5PM Central Time.

 

What are the top 5 skills/requirements this person is required have?

  • Required Skill 1: Proficient in using R to do basic data analysis (processing, plotting…)
  • Required Skill 2: Comfortable working with NGS data using open source tools
  • Required Skill 3: Ability to communicate results to scientists with broad range of expertise
  • Required Skill 4: Familiarity with basics of statistical modeling
  • Required Skill 5: proficient working in UNIX environment, comfortable with unix scripting language (Bash, Perl, Python), experienced working with job scheduler like SLURM

 

What years of experience, education, and/or certification is required?

  • B.S. in Bioinformatics/Biostatistics/CS with 6+ years of experience
  • M.S. in Bioinformatics/Biostatistics/CS with 4+ years of experience.
  • Ph.D. in Bioinformatics/Biostaistics/CS with 1+ years of experience

What is a nice to have (but not required) regarding skills, requirements, experience, education, or certification?

  • Prior experience in CAP or CLIA Lab (comfortable running standardized pipelines, analysis and generate reports according to well defined guidelines)
  • Experience analyzing ‘omic data sets (e.g. WGS, RNAseq, proteomics).
  • Experience with gene ontology and pathway enrichment analysis.
  • Proficient in literature search to identify relevant public data sets to support and interpret internally generated results.
  • Experience with Limma and/or Dream for differential gene expression analysis with linear mixed models.
  • Experience working with NGS data from non-human animals.
  • Experience managing project(s) involving multiple stakeholders and facilitating information exchange
What is the environment that this person will be working in (i.e. group setting vs individual role)? Group setting.

Is any testing required for this role? No

Does this position offer the ability to work remotely on a regular basis or is it an on-site role? If remote opportunity exists, what are the options (i.e. 1 day remote, 4 days on-site)? YES, fully remote; on-site optional.
  • Other notable details about the environment from the hiring manager about this role.
What positions/background experience do you feel are successful in this role.
  • Previous experience working with various application of NGS data analysis using R


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