Duties: The Biostatistician I is the entry-level position of the biostatistics career ladder. The role largely works under close supervision of teams that include a more senior statistician/manager and one or more biomedical domain experts. Management of this role is usually provided on a daily basis with emphasis on proper procedures and technical issues; Consults with team members to determine study design, conduct power calculations, identify appropriate variables and methods, format data, and identify and resolve data anomalies; Operates according to a statistical analysis plan that includes methods, programming procedures, variable definition, and data handling rules and procedures
Requirements: Bachelor's Degree; Previous experience with progressively more complex applied statistics; Previous applied experience in using one or more common statistical language programs

Duties: Contributes to the maintenance and development of bioinformatics tool portfolio by developing knowledge of internally developed systems, open-source programs, and commercial applications. Provides efficient data management support; Works with bioinformatics group members to develop functioning pipelines upstream of customized analysis workflows; Maintains pipelines by staying current with evolving algorithms and standards and incorporating into pipeline; Executes robust development testing for commonly used applications such as data processing pipelines; Optimizes performance of applications by working with scientific computing and information systems groups to optimize hardware/software parameters
Requirements: Master's Degree biological or computational discipline preferred; At least one (1) year in applied bioinformatics, computational, and genomics/proteomics experience

Duties: Pursue independent scientific work in image segmentation, pipeline development or growth chart models; Develop scripts and procedures to curate and process large brain MRI datasets; Collaborate on pipeline development with other labs at Penn and CHOP, nationally, and internationally; Work directly with other researchers to provide support in neuroimaging informatics and ensure the lab's neuroimaging informatics needs are met; Work with PI and postdoctoral fellows to identify short-term and long-term needs in neuroimaging informatics; Develop scripts for neuroimaging analysis (FreeSurfer, AFNI, ANTS, FSL, etc) in the HPC environment at CHOP/Penn; Build computational workflows that scale and work across a broad range of file system storage; Desiminate results in scientific papers
Requirements: Doctorate Neuroimaging, Computer Science, Engineering, or similar field of study. Required; At least one (1) year of experience in scientific image processing, analysis, or multidimensional signal processing Required; At least two (2) years of experience with MR neuroimaging image analysis (fMRI, DWI, structural) or medical image analysis Preferred

Duties: The focus of the position is service-level application of bioinformatics tools and methods to bench and clinical research problems in various biomedical domains. The position allows for a wide variety of activities described within the job responsibilities and encompasses positions within both research and clinical environments. Activities occur with a moderate degree of supervision with some latitude for independent judgment, development of bioinformatics workflows and processes, and presentation of results
Requirements: The successful candidate will preferably have a PhD degree in Bioinformatics, Computational Biology, or a related field, and must have demonstrable skills in coding in R and/or Python, though both are preferred. The successful candidate will have had biology training, experience with high-performance and/or cloud-based computing environments, experience in the analysis of sequencing data related to cancer (e.g. somatic single nucleotide variants (SNVs), indels, structural variations (SVs), fusion transcripts, copy number analyses, or ATAC sequencing), as well as experience in other types of bioinformatics analyses, particularly those involving next-generation sequencing

Duties: Participate in project planning, recording, and evaluation of data; Conduct independent scholarly research, developing new methods and protocols under the guidance of a mentor (principal investigator); Acquire technical, lab management, and grant writing skills; Participate in seminars, lectures, poster sessions, national presentations, and professional workshops; Supervise junior lab members; Assist with other research projects as needed
Requirements: PhD in computer science, electronic engineering or a related field; Research experience in computer vision and machine learning; Proficiency in Python and/or MATLAB; C++ is a plus