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Job Description
Summary:
This position independently provides bioinformatics and data science support to advance the institute's operational and research objectives. The role requires expertise in statistical genomics, machine learning, and scalable analysis and integration of high-dimensional omics data, applying AI-driven methods to generate biologically meaningful insights.
Statement of Work Details:
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 Qualification:
Master's Degree Additional Qualification:
Certifications & Licenses:
Three years of experience - Ph.D. in Bioinformatics, Biostatistics, Computational Biology or a biological/life science Ph.D. preferred (or Master's) in Bioinformatics, Computational Biology, Genomics, Data Science, Biostatistics, Computer Science, Biomedical Engineering, or a closely related quantitative field. Demonstrated training or experience in machine learning, artificial intelligence, or advanced statistical modeling applied to high-dimensional biological data. 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 Skills Next gen sequencing data analysis: Bulk RNA-Sequencing Next gen sequencing data analysis: Genome-wide association studies Single Cell RNA-Sequencing Work with large data sets Microarray data analysis Pipeline development Multi-omics Analysis Machine Learning Core facility Cloud platforms Reproducible research practices Data visualization Representation learning for omics data Machine learning and Deep learning Multi-omics integration using deep learning AL_TSC 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.
Pay:
$70,000.00 - $83,000.00 per year
Benefits:
401(k) Dental insurance Health insurance Vision insurance
Education:
Master's (Required)
Experience:
bioinformatics data analysis: 1 year (Required)
R and Python:
1 year (Required) NGS or RNA-seq analysis: 1 year (Required) machine learning or AI models: 1 year (Required) Ability to
