Biostatistican Jobs (NOW HIRING)

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A Brief Overview

The Data Science and Biostatistics Unit (DSBU) within the Department of Biomedical and Health Informatics (DBHi) collaborates with researchers across CHOP’s Research Institute to provide analysis and consultation on methods development, study design, and data analysis. Staff have expertise managing and using data sources and registries associated with electronic health records, clinical trials, administrative, claims, and surveys. DSBU staff have experience across various machine learning and statistical methodologies, including supervised & unsupervised learning, propensity score matching, multivariate modeling, latent variable mixture models, and geographic information systems. To support the DSBU’s rapid growth and meet the analysis needs of CHOP’s research teams, we are recruiting a Biostatistician III. This individual will provide consistently high-quality deliverables within reasonable timeframes and will collaboratively work with principal investigators from a variety of biomedical domains across the Research Institute to achieve meaningful results and academic output. Project teams that this individual will regularly work with include those within the Cardiac Center, Oncology, and Anesthesiology and Critical Care. The Biostatistician III will lead selected methodologies, perform data manipulation, management, and modeling.

Provides expert biostatistical services for investigators, including analyses, data preparation, and writing of statistical results, primarily maintaining independence; provides oversight and mentorship to junior biostatisticians.
What you will do

• Biostatistician III is a mostly independent and collaborative role that builds upon the II position based on demonstrated increase of mastery of methods application, programming, interpretation, and communication. The role largely works as a standalone peer within teams that include one or more biomedical domain experts. Management of this role is usually provided on a weekly/biweekly basis with emphasis on study-level issues.
• Leads all aspects of study design, appropriate variables and methods, data formatting, and anomaly identification and resolution in collaboration with study team.
• Leads development of a statistical analysis plan that includes methods, programming procedures, variable definition, and data handling rules and procedures.
• Investigates increasingly complex methods for inclusion into projects.
• Advocates for and enables adoption of advances in methods and workflow to peers and more junior staff.
• Applies advanced level of statistical programming to clean and interrogate data, view diagnostics elements of data such as underlying distributions and parameters, implement optimal statistical methods, interpret and export key visuals and results.
• Validates and documents methods such that both more junior statisticians and domain experts may understand and replicate.
• Actively mentors junior staff on methodology and analytical tasks within projects.
• Provides analysis services for grant applications.
• Independently leads analytical portion of study team academic output by writing methods, results, and interpretation for manuscript publication, authoring abstracts, and presenting at professional conferences with limited review.
• Recommends protocol, workflow, or data management changes based on results.
• Leads communication of research methods, implementation, and results to varied audience of clinicians, scientists, analysts, and programmers.
• Leads critical assessment of computational and algorithmic approaches to address assigned biomedical research questions.
• Tracks project activities for reporting and billing purposes.

Education Qualifications

• Master's Degree Required
• Doctorate Preferred

Experience Qualifications

• At least five (5) years experience with progressively more complex applied statistics. Required
• At least five (5) years applied experience in using one or more common statistical language programs. Required
• At least seven (7) years with progressively more complex applied statistics Preferred
• At least seven (7) years in using one or more common statistical language programs Preferred

Skills and Abilities

• Advanced proficiency in programming and application of common statistical methods in medical and clinical research such as SAS, STATA, R or another commonly accepted analytical programming language.
• Excellent verbal and written communications skills with the demonstrated ability to explain technical concepts to a lay audience.
• Detail-oriented with excellent validation and documentation skills.
• High level of personal initiative; ability to work independently as well as collaborate in teams and with people from multiple business and scientific areas.
• Advanced proficiency in UNIX and/or Windows OS.

To carry out its mission, CHOP is committed to supporting the health of our patients, families, workforce, and global community. As a condition of employment, CHOP employees who work in patient care buildings or who have patient facing responsibilities must be fully vaccinated against COVID-19 and receive an annual influenza vaccine. Learn more.
Employees may request exemptions for valid religious and medical reasons. Start dates may be delayed until candidates are immunized or exemption requests are reviewed.
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