Job Description
Duties:
Skills:
Education:
- Strong scientific understanding and experience in bioinformatics
- Experience in pharmaceutical research and in Immunological disease a plus
- Design, implement and/or deploy NGS data analysis workflows for data processing, visualization, integration and mining to support Client therapeutic target identification and disease biomarker discovery
- Data Analysis: Implement methods for omics data analysis, and interpretation of genomic data sets (e.g., bulk RNA-seq, scRNA-seq, ATAC-Seq)
- Data Visualization: Fluency in contemporary data visualization methods like R Shiny , D3
- Data Integration: Analyzing diverse datasets (multi-omics) to find relevant drug discovery targets and downstream effects relevant to immune disease
- Data Mining: Internal, collaborative, and public databases to assist in the characterization of immune disease
- Select and benchmark methods and tools, define and perform appropriate QC measures
- Apply and develop innovative analysis approaches when standard methods are not adequate
- Interpret and present analysis results to coworkers and collaborators
- Follow relevant scientific literature to ensure use of optimal methods and understand emerging practices across the field
- Demonstrates the ability to interpret the outcome of experiments, propose appropriate follow-up, and may propose new avenues of investigation
- Communicates own work effectively orally and in writing; contributes to writing protocols, procedures, and technical reports
- Automate processing and results reporting and delivery
- Reports and treats data with a high level of integrity and ethics
- Complies with applicable regulations; Maintains proper records in accordance with SOPs and policies
Skills:
- The successful candidate will have experience with more than one of the following; analyzing next-generation sequencing (NGS), functional genomics, statistics for big data analysis, or multi-omics data integration
- Good knowledge of existing bioinformatics databases and file formats
- In-depth understanding of computational methods for NGS analysis and the usage of public data resources required
- Strong hands-on skills in relevant programming languages (e.g., R, Python, Shiny, UNIX/Linux, UNIX bash shell scripting, Nextflow), statistical software, cloud computing, visualization tools, and relevant R/Bioconductor packages
- Demonstrated ability to produce well-designed and documented code
- Familiarity with computational biology tools and experience working with computational biologists to solve problems
- Must enjoy working in a multi-disciplinary and collaborative environment
- Ability to troubleshoot both individually and as part of a team
- Excellent oral and written skills with the ability to communicate in an open, transparent, timely and consistent manner
Education:
- Master s degree from an accredited institution with one-plus (1+) years of experience in a related scientific discipline (Computer Science, Genomics, Biostatistics or Bioinformatics preferred) OR Bachelor s degree from an accredited institution with seven-plus (7+) years of experience in a STEM discipline.
Numbers & Facts
| Location | Ridgefield, CT (Remote) |
| Industry | Staffing/Employment Agencies |
| Salary | $42–$46.97 Per Hour |
| Company Size | 2,000 to 2,499 employees |
| Year Founded | 2000 |
| Website | http://www.lancesoft.com/ |
About Company
We are a $125 Million, NMSDC-certified Minority & Woman owned Workforce Solutions Company headquartered in the DC metro area with presence across US with global presence - Canada, Mexico, India, UK, Malaysia, Indonasia, Hongkong, Singapore, UAE. We are specialized in providing Workforce Solutions, SOW project delivery, Engineering Solutions, Creative Services. We currently support 100+ Fortune companies globally and across multiple industry segments. We are currently supporting several massive programs across industry segment nationally/globally (Intel, Ally, AMD, QUALCOMM, Morgan Stanley, Kraft/ Mondelez, MNP, Amdocs, Dell, SanDisk, Medtronic, Becton Dickinson, GE, Lockheed Martin, UTC, L-3 Communications, Caterpillar, BMW, Mercedes Benz, National Grid, Dominion, Energy Future Holdings, PSEG, 3M, Fidelity, Aetna, Humana, Johnson & Johnson, Pfizer, Merck etc).
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender, identity, national origin, disability, or protected veteran status.
Skills
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