Bioinformatics Scientist

Title: Bioinformatics Scientist

Location: Research Triangle Park, NC 27709 (Hybrid)

Duration: Full Time

Shift Timing (Day/ Evening/ Night): Day

Pay Rate: $90000/YR to $115000/YR

Role & Responsibilities:

• Provides programming and troubleshooting support to the Federal Government in the dissemination of research data.
• Performs computations on research data analysis.
• Works with staff on scientific programming and experimental design.
• Records observations and report results at weekly laboratory meetings.
• Provides statistical support / analysis on research data.
• Provides research / service goals in the context of the laboratory's overall mission.
• Evaluates new types of experimental approaches to protocols based on knowledge of scientific literature, available facilities and research needs.
• Independently coordinates the training of personnel in the use of scientific software applications, statistical software applications and programmatic software applications.
• Initiates interdisciplinary collaborations with other research centers.
• Deliver at least one presentation per year to audiences outside the Government.
• Conduct analyses on NextGen sequencing data including data derived in ChIP-Seq, RNA-Seq, miRNA-Seq and other experimental models
• Conduct analysis and interpretation on data from genomic platforms including expression, exon, tiling, promoter and others array types
• Conduct data analysis and interpretation on other large data types in genomic context
• Establish and maintain workflows including experimental design, analyses of data quality, genome and meta-genome integration and others
• Write utility scripts, macros and/or custom programs or algorithms in support of biological discovery
• 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.
• Develop work products and documentation related to applying advanced computational and data analysis approaches to generate biological insights. Independently design analytical strategies; identify and resolve scientific or technical challenges; design studies; analyze and interpret high-throughput biological data; and prepare and present results. - Ad-Hoc
• Develop work products and documentation supporting integrative analysis of internally generated datasets. Contribute to manuscript preparation by drafting data analysis sections, creating publication-quality figures, and facilitating data submission to appropriate external repositories. - Ad-Hoc
• Develop and maintain custom analytical software, scripts, and computational pipelines. Evaluate and implement commercial and open-source tools as appropriate; lead pipeline design and development efforts; establish reproducible workflows and standard operating procedures (SOPs); and provide comprehensive methodological documentation. – AdHoc.
• Develop and optimize analytical pipelines for multi omics data. Identify, evaluate, and implement appropriate computational methods for preprocessing, quality control, integration, clustering, differential expression, and downstream analysis of single-cell datasets. – AdHoc
• Provide ad hoc training sessions and hands-on workshops on bioinformatics tools and analytical methodologies.
• Participate in group meetings; present analytical findings; and maintain current knowledge of emerging technologies and advances in biology, statistics, computer science, and bioinformatics. - Ad-Hoc.

 Required Qualification:

• Master's Degree.

Required Experience:

• Apply an in-depth knowledge of computational methods in the analyses of large epidemiology and population genomics datasets including Genome Wide Association Studies GWAS and massively parallel NextGen sequencing
• Utilize commercial software, freeware and custom algorithms programs to accomplish scientific tasks and support biological discovery- Carry out NextGen data analyses across concurrent projects including mapping, SNP and structural variation discovery and validation, statistical analyses, meta-analyses of genomic features, pathways analyses, principal components analyses, and others 2
• Conduct analyses of GWAS data quality including analyses of multiple experimental designs simultaneously
• Carry out GWAS data and meta-data analyses including imputation analyses, stratification analyses, haplotype analyses, significant SNP and structural variation discovery and others
• Conduct statistical analyses to extract biologically meaningful information including meta-data from genomic and targeted element population studies 4
• Write custom programs and algorithms in support of biological discovery
• Validate and conduct quality analysis for all types NextGen sequencing data in the context of understanding complex disease and complex population structures
• Work with biologists in the design of models summarizing explaining experimental data, and in interpretation of data; provide correlation analyses of data derived from different experimental platforms such as correlation of whole exome re-sequencing and GWAS data
• Train biologists in data analyses and interpretation, provide feedback to biologists in bioinformatics best practices, coordinate with bioinformatics programmers to generate biologist-friendly tools and procedures
• Prepare reports and publication quality graphics summarizing experimental data including providing written documents describing  methods
• Participate in group meetings with population genomics biologists, present findings to individuals and groups and advise on coordination of analyses and discovery methods
• Support high performance computer environmental resources, maintain work stations and identify and operate commercial software and freeware relevant to analyses

 Field of Study:

• Mathematics and Computer Science.
• Biology.
• Environmental Science.
• Genetics.
• Molecular Biology.

 Software:

• R.
• Python.
• MATLAB.
• Linux.
• Unix.
• Java.
• Shell.
• PERL.
• Bash.
• SAS.
• Bash / Linux / HPC.
• Git.
• Docker / Singularity /Apptainer.
• Workflow management.

 Required Skills:

• Next gen sequencing data analysis: Bulk RNA-Sequencing - Next gen sequencing data analysis - Genome-wide association studies - Work with large data sets - Microarray data analysis - microbiome data analysis Phylogenetic Analysis - Pipeline development - Multi-omics Analysis Cluster Analysis - Core facility.

About our Company: -

22nd Century Technologies Inc., (TSCTI) is one the fastest growing healthcare staffing companies in the United States. With presence in all 50 States and 6000+ employees nationwide, we have been providing unparallel healthcare and technology staffing services to Public and Private sectors for over 26 years.

Started as a technology staffing company in 1997, we have significantly expanded our healthcare practice to both Clinical and Non-Clinical staffing, serving various facilities, healthcare organizations and government agencies. Our ISO certified staffing practices and technology driven staffing procedures – from recruitment to onboarding, along with an internal pre-vetted resume database of healthcare professionals, enable us to serve our customers with their immediate staffing needs.
TSCTI has extensive experience providing Physicians, Nurses, Pharmacists and other Allied Health professionals to various states – California, Connecticut, District of Columbia, Florida, Michigan, Minnesota, New Jersey, New York, Texas, Vermont, Virginia to name a few, and Our valued relationships with employees as well as commitment to meet and exceed clients’ expectations through our exemplary employees proves our competency in today’s healthcare staffing industry.

Recognized among “Best Company to Work For” by Forbes, 22nd Century Technologies, Inc., consistently exceeds our clients’ expectations by focusing on their absolute satisfaction with jobs while keeping our employees motivated.

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.