Are you motivated to participate in a dynamic, multi-tasking environment? Do you want to become part of a company that invests in its employees? Are you seeking a position where you can use your skills while continuing to be challenged and learn? Then we encourage you to dive deeper into this opportunity.
NeoGenomics is looking for a Bioinformatics Scientist in our Fort Myers, FL location who wants to continue to learn in order to allow our company to grow.
Now that you know what we're looking for in talent, let us tell you why you'd want to work at NeoGenomics:
As an employer, we promise to provide you with a purpose driven mission in which you have the opportunity to save lives by improving patient care through the exceptional work you perform. Together, we will become the world's leading cancer reference laboratory.
As a Bioinformatics Research Scientist you will support the dynamic goals of the fast paced genomics environment.
- You will design, develop and implement of data analysis tools and pipelines with emphasis on rigorous validation and robust procedures.
- Apply or modify existing bioinformatics pipelines to improve the assay capabilities as well as their technical robustness.
- We want to provide bioinformatics support to other team members.
- Present scientific and technical data to colleagues in a clear and cohesive manner.
- Process, analyze, and interpret high volumes of data for the development and validation of methods.
- Monitor and evaluate analytical aspects of new and emerging technologies.
- Assist with drafting and completing government applications (e.g. NIH, FDA, NYS, CLIA, and CAP) and manuscripts for publication; lead data analysis and interpretation of study results throughout application/publication process from draft through submission and acceptance.
- We work as a team and independently to achieve goals.
- We are seeking a high energy team member who has a driving sense of urgency
- Education: Masters required. Quantitative discipline with preferred backgrounds (bioinformatics, computational biology, genomic sciences) but will consider others (e.g. molecular biology, statistical genetics, cancer biology or similar) that have extensive command line experience.
- Required experiences with Linux and/or UNIX systems along with parallel computing environments/clusters.
- Required fluency in Python.
- Required knowledge of common genomic terminology (exome, targeted RNA/DNA panels, gene structure), databases (UCSC/EBI/NIH), genome versions, and tools used in genomics (e.g. dbSNP, COSMIC, ClinVar, UCSC genome browser, Galaxy, IGV)
- Experience with common bioinformatics tools required (e.g. GATK, BWA, STAR, SAMtools, Picard).
- Required experience with direct NGS data analysis
- Requires a high level of professional maturity and an ability to meet tight deadlines under pressure and command attention and respect in a client-facing setting.
- Required working knowledge of molecular biology with strong scientific understanding of genomics and show a strong capacity for independent thinking.
- R and Shell scripting also preferred.
- Strongly preferred working analysis experience of large genomic datasets (RNAseq profiling, somatic variant analysis, CNV analysis, bioinformatics QC of libraries, TCGA)
- Experience with Github version controlling or other code distribution/deploy software (e.g. CHEF)
- Experience working with Docker containers, cloud-based computing.
- Experience developing/applying classical machine learning methods
- Experience building and administrating databases
- Experience in cancer or genetics research, including a working understanding of computational approaches for cancer/genetic genome analysis, is helpful.
- Knowledge of Bioinformatics approaches to RNA normalization, Variant annotation, CNV tools, UMI tools, TMB, translocation and fusions identification, and MSI.
- Established scientific/technical writing and presentation skills; publication/manuscript/CAP/CLIA/NYS validation, NIH grant experience deeply preferred.
All qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status.