Bioinformatics Scientist

Axle Informatics

$90K — $120K *
Pharmaceuticals & Biotech
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Ph.D. in Bioinformatics, Biostatistics, Computational Biology, or a related life science
  • Experience with Next Generation Sequencing (NGS) data analysis
  • Solid understanding of clinical and/or translational research
  • Proficient in programming languages such as R, Python, and MATLAB
  • Experience with large data set management and analysis

Responsibilities

  • Conduct analyses on various NextGen sequencing data types including ChIP-Seq and RNA-Seq
  • Develop and maintain workflows for experimental design and data quality analysis
  • Write custom programs and algorithms to support biological discoveries
  • Prepare reports and publication-quality graphics summarizing experimental data
  • Collaborate with biologists to interpret and analyze biologically relevant datasets

Benefits

  • 100% Medical, Dental & Vision Coverage for Employees
  • Paid Time Off and Paid Holidays
  • 401K match up to 5%
  • Educational Benefits for Career Growth
  • Employee Referral Bonus
  • Flexible Spending Accounts including Healthcare and Transportation Reimbursement Programs
Full Job Description
Axle is seeking a Bioinformatics Scientist to join our vibrant team at the National Institutes of Health (NIH) supporting the Research Triangle Park, NC.

Benefits We Offer:
  • 100% Medical, Dental & Vision Coverage for Employees
  • Paid Time Off and Paid Holidays
  • 401K match up to 5%
  • Educational Benefits for Career Growth
  • Employee Referral Bonus
  • Flexible Spending Accounts:
    • Healthcare (FSA)
    • Parking Reimbursement Account (PRK)
    • Dependent Care Assistant Program (DCAP)
    • Transportation Reimbursement Account (TRN)


Position Information:

The position will independently provide support services to satisfy the overall operational objectives of the National Institute on Environmental Health Sciences.

Additional Qualifications:

Certifications & Licenses
  • Ph.D. in Bioinformatics, Biostatistics, Computational Biology or a biological/life science


Field of Study
  • Mathematics and Computer Science
  • Biology
  • Environmental Science
  • Genetics
  • Molecular Biology


Software
  • R
  • Python
  • MATLAB
  • Linux
  • PERL
  • Unix
  • Shell
  • Java


Skills
  • Next gen sequencing data analysis: Bulk RNA-Sequencing
  • Next gen sequencing data analysis
  • Clinical and/or translational research
  • Single Cell RNA-Sequencing
  • Work with large data sets
  • Microarray data analysis
  • Pipeline development
  • Methylation Analysis
  • Multi-omics Analysis
  • Cluster Analysis
  • Core facility


Deliverables:

  • Work products and documents related to conducting data analyses on NextGen sequencing data; analyzing and interpreting data from genomic platforms, including expression microarrays and others. - Ad-Hoc
  • Work products and documents related to identifying and discovering analyses of differentially expressed genes; calculating fold change, p-values, multiple test adjustments and custom analyses; conducting data quality analyses/assessments, analyses of raw and normalized data using graphical techniques. - Ad-Hoc
  • Work products and documents related to developing and/or managing workflows,
    experimental design, analyses of data quality, genome and meta-genomic context and
    others. - Ad-Hoc
  • Work products and documents related to writing custom programs and algorithms; designing models summarizing/explaining experimental data; preparing reports and publication quality graphics; participating in meetings. - Ad-Hoc


Statement of Work Details:

  • Conduct analyses on NextGen sequencing data including data derived in ChIP-Seq, RNA-Seq, miRNA-Seq and other experimental
    models. - 1
  • Conduct analysis and interpretation on data from genomic platforms including expression, exon, tiling, promoter and others array types. - 2
  • Conduct data analysis and interpretation on other large data types in genomic context. - 3
  • Establish and maintain workflows including experimental design, analyses of data quality, genome and meta-genome integration and
    others. - 4
  • Write utility scripts, macros and/or custom programs or algorithms in support of biological discovery. - 5
  • Coordinate with biologists and/or other bioinformaticians in the design of models summarizing and explaining experimental data;
    provide interpretive analyses of data derived from different experimental platforms to generate biological meaning.
  • Prepare reports and publication quality graphics summarizing experimental data including providing written documents
  • Participate in meetings with biologists; present findings to individuals and groups.


Disclaimer: The above description is meant to illustrate the general nature of work and level of effort being performed by individuals assigned to this position or job description. This is not restricted as a complete list of all skills, responsibilities, duties, and/or assignments required. Individuals may be required to perform duties outside of their position, job description or responsibilities as needed.

This role has a market-competitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidate's experience, qualifications, skills, and location.

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