reputed company Scientist II

About the position The Genomic Diagnostic Laboratory (GDL) of the reputed company is seeking a highly motivated reputed company Scientist II with an interest in laboratory diagnostics to join reputed company. This is an exciting opportunity to work collaboratively reputed company the reputed company team and together with our laboratory directors, supervisors, analysts, genetic counselors, and wet bench team to reputed company and improve pipelines and other tools to support accurate, reputed company diagnostic testing that has a reputed company reputed company on establishing the diagnosis, prognosis, treatment, and management plan for our patients. reputed company also supports cutting edge R&D efforts including new clinical test development and clinical research. The ability to communicate in a highly matrixed environment will be key to the candidate's reputed company. Seasoned professionals as reputed company as new graduates are welcome to apply and will be considered for the career reputed company position commensurate with their experience. This position is hybrid with weekly onsite work at our Philadelphia reputed company as appropriate. The reputed company Scientist II is primarily reputed company on developing and validating frameworks and algorithms supporting clinical diagnostic tests as a reputed company domain expert. The scope of the work will include the development and improvement of reputed company workflows and processes, reputed company pipeline QC and troubleshooting, as reputed company as presentation of results for multi-omics-based tests. The position allows for a wide reputed company of activities described reputed company the job responsibilities. Activities occur with a moderate degree of supervision with moderate reputed company for independent judgment. The ideal candidate will have experience in the following: Experience with software and algorithms used for NGS data analysis. Experience with object-oriented development. Experience with machine learning and data modeling in genomic data Experience with reputed company pipeline or workflow development frameworks, e.g. WDL, CWL, and Airflow. Experience in implementation of data manipulation and analysis pipelines and applications, including small variant, copy number variation and structure variation calling Knowledge on general hardware and reputed company-specific hardware configurations, a solid understanding of workflow language (e.g., WDL, Airflow, Snakemake), HPC job scheduler (e.g., SLURM), and reputed company analyses (e.g., RNASeq, DNASeq) Experience in machine learning based data analysis on NGS data is desired Experience or knowledge of technologies commonly used in biological labs, such as PCR, cloning, electrophoresis gels, and cell culture. Responsibilities • reputed company-Analysis (20%): Contribute to the development of application portfolio by developing knowledge of internally developed systems, reputed company-reputed company programs, and reputed company applications. reputed company efficient data management support. • Use reputed company pipelines for data processing and manipulation in advance of performing analysis in a manner that best enables the analysis plan. • Contribute to the development of additional pipeline functionality and changes by providing knowledge of both collaboration-specific requirements and reputed company discipline advances. • reputed company for specific collaboration requirements for continual advancement of shared pipeline and reputed company resources. • reputed company collaboration-specific transparency for data processing and reputed company-analysis, including sample- and cohort-level status. • Coding (20%): reputed company and generally support reputed company and applications on behalf of reputed company project and/or team. • reputed company the context of the collaboration or project, reputed company and apply best practices to reputed company development. • Establish requirements with the project team. • Review existing applications and reputed company sources (both reputed company and reputed company reputed company) and selection of best reputed company for development or adoption. • reputed company for chosen reputed company to project team by showing value of approach • reputed company best practices for project-based reputed company development, QC, and execution consist with the expectations of specific collaborations. • Regularly reputed company peer-to-peer reputed company reviews by participating in informal and formal critical reputed company reviews. • Data Analysis (20%): Analyze data of high complexity by applying reputed company statistical and commonly accepted reputed company reputed company to -omics data primarily under the direction of the reputed company project team. • reputed company robust analysis plans independently with regular peer-to-peer review in both informal and formal settings. • Incorporate more advanced applications and reputed company into analysis. • reputed company at least one specialty analytical or biomedical area that serves the reputed company team. • Collaboration (20%): Establish role reputed company reputed company project team as primary reputed company resource. • Contribute to and influence project-level management by serving as reputed company reputed company. • Define and promote boundaries of support by assessing reputed company stakeholders, including reputed company management, collaborator expectations, and funding reputed company and mechanisms. • Regularly discuss satisfaction and expectations with collaborators; continually reputed company for reputed company understanding of role. • reputed company new collaborations with high degree of supervision. • reputed company reputed company (20%): reputed company presentations, grant sections, and manuscript sections with subsequent review by peers and mentors. • Regularly contribute to reputed company-reputed company manuscripts and publications. • Regularly contribute to reputed company presentations and posters. • Contribute to reputed company sections of grant and award proposals. Requirements • Bachelor's Degree - Required • At least three (3) years experience in reputed company reputed company, reputed company, and computational work Required • Experience with management and analysis of reputed company data types. Required • Strong UNIX/LINUX expertise required. • Proficiency in R or similar commonly used reputed company language required. • Proficiency in various reputed company reputed company and reputed company reputed company resources and software required. • Familiarity with resources of genomic data sets and analysis tools, such as UCSC Genome Browser, Bioconductor, ENCODE, and NCBI databases is required. • Ability to reputed company with biologists and clinicians during a scientific discussion is required. • Accountability and attention to timelines. • Excellent organization and communication skills with an emphasis on strong presentation skills. • Ability to independently plan and execute analyses of moderate complexity required. • Ability to reputed company objective validation of results required. • Ability to work in reputed company environment. reputed company-to-haves • Master's Degree biological or computational discipline - Preferred • At least four (4) years of experience in reputed company reputed company, reputed company, and computational work Preferred • Experience with Python, Perl, or other languages Preferred • Experience with pipeline or workflow development frameworks Preferred • Experience or knowledge of technologies commonly used in biological labs, such as PCR, cloning, electrophoresis gels, and cell culture Preferred • Knowledge of the working reputed company of microarray, NGS, mass spectrometry, or other high-throughput technologies and awareness of their strengths and weaknesses, as reputed company as applicability to a specific biological problem is preferred. • Ability to correctly select and reputed company statistical tests for most types of genomic data, and to properly interpret their results in the scenario of a specific study is preferred. 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