Duties: Apply principles and methods of bioinformatics to assist scientists, principal investigator and other laboratory team members. Discuss study design with research team, and apply bioinformatics tools to visualize, analyze, manipulate or interpret molecular data. May build and maintain databases for processing and analyzing genomic or other biological information
Requirements: Bachelor of Science and 3-4 years of experience or equivalent combination of education and experience is required

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

Duties: The specific duties for this position may include protocol development, study design, analysis plan, sample size/power calculations, and interpretation of study data; develop, design and write new and/or revised statistical programs (say in SAS or R) and modeling based on requirements of ongoing research projects; conduct and interpret analyses of research data using descriptive statistics, inferential tests, and advanced statistical methods and models; evaluate and ensure statistical integrity, accuracy and validity of research data; compiles results and provides statistical summaries and reports to principal investigators; assist with grant proposal preparation in study design, sample size calculations, and development of statistical analysis plans; assist with preparation of journal articles, technical reports and other materials for publication and presentation; manage biomedical databases for assigned research projects; read and review appropriate biomedical and statistical papers...
Requirements: Master's degree in biostatistics, statistics or related quantitative field with 6+ years’ experience in design, conduct, monitoring, and analysis of cancer clinical studies, in preparing and reviewing clinical trial protocols, and in preparing grant applications and writing research reports, or doctoral degree with 3+ years’ experience in these areas

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: Lead the statistical strategy for projects and participate as a core member on clinical study teams; Be accountable and responsible for the statistical design, analysis plans, reporting (including development of ADaM specifications/datasets) and interpretation of Phase 1-4 clinical trials including integrated analyses across trials; Initiate, drive and implement novel methods and innovative trial designs; Provide statistical input into protocol and case report form (CRF) development (e.g., trial design, sample size estimation, statistical methods for protocols, edit checks for clinical trial data); Participate in regulatory (e.g., pre-IND, NDA) activities including authoring of statistical sections and participating in regulatory meetings/written responses
Requirements: PhD in Biostatistics or Statistics with ≥ 4 years of pharmaceutical or CRO industry experience (MS candidates with significant related experience may be considered); Experience in design and reporting of Phase 1-3 clinical trials; Deep and broad statistical training and experience in methodologies such as Mixed Models, Bayesian adaptive designs, Interim Analyses including Futility, Modelling and Simulation methods, and in SAS, R; Experience writing statistical analysis plans and mock TFLs for clinical study reporting

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: Leads and influences teams whose members are seldom direct-reports; Leads, and as needed, directly develops business cases and requirements for advanced analytics supporting new and enhanced products; Leads discovery process with stakeholders to identify analytic needs, important variables that might affect the desired outcomes; Leads or determines the methods needed to meet the business requirements, along with their execution, including (as appropriate given business requirements); Research or evaluative design; Sampling design and data management including imputation and use of indirect or proxy measures; Analysis design including model contrasting, diagnostics, validation/robustness, goodness of fit, train v test, so on
Requirements: Bachelor’s degree in Actuarial Science, Mathematics, Statistics, or in a related field 10+ years of relevant Data Scientist experience 5 + years demonstrated achievement with and mastery of quantitative and qualitative research and analytics experience Solid experience supporting the development of scalable analytic and reportings