Biostatistician II - 63056

Job Type:Location: LOC_HOME-Home/Remote Office LocationReq ID: 87374Shift: DaysEmployment Status: Regular - Full Time Job SummaryThe DSBU (Data Science and Biostatistics Unit) 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. This interdisciplinary team consists of biostatisticians, epidemiologists, data scientists, data analysts and other methodologists. 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 statistical methodologies, including propensity score matching, multivariate modeling, latent variable mixture models, and geographic information systems. We regularly seek mission-oriented individuals with expertise in the areas of biostatistics, quantitative methods, data science and geospatial analyses.

In order to support DSBU’s rapid growth in meeting the analysis needs of CHOP’s hundreds of research teams, we are recruiting a Biostatistician II. The biostatistician will work with teams across the Research Institute to clean and manage data, apply statistical methods to data, and interpret results. In particular, this role will work with principal investigators within CHOP's Center for Pediatric Clinical Effectiveness. This position will report to the Biostatistician Supervisor within the DSBU.
Job ResponsibilitiesBiostatistician II is a moderately independent role that builds upon an entry level position based on demonstrated increase in consistent proficiency of methods application, programming, interpretation, and communication. The role largely works under the 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 semi-weekly basis with an emphasis on validation, consistency, refinement of communication, and expansion to more complex techniques.

• Consults with team members to determine study design, conduct power calculations, identify appropriate variables and methods, format data, and identify and resolve data anomalies.
• Actively contributes to 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.
• Applies proficient 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 senior statisticians and domain experts may understand and replicate.
• Investigates optimal methods for validation and documentation.
• Provides analysis services for grant applications.
• Contributes to academic output of study teams by writing methods, results, and interpretation for manuscript publication, authoring abstracts, and presenting at professional conferences under the guidance of senior staff/manager.
• Recommends protocol, workflow, or data management changes based on results.
• Participates in communication of research methods, implementation, and results to varied audience of clinicians, scientists, analysts, and programmers.
• Contributes to critical assessment of computational and algorithmic approaches to address assigned biomedical research questions.
• Tracks project activities for reporting and billing purposes.
  

Job Responsibilities (Continued)Job Responsibilities (Continued)Required Licenses, Certifications, RegistrationsRequired Education and ExperienceRequired Education: Bachelor’s degree
Required Experience:

• Three (3) years of experience with progressively more complex applied statistics.
• Three (3) years applied experience in using one or more common statistical language programs

Preferred Education, Experience & Cert/LicPreferred Education: Master’s degree
Preferred Experience:

• Five (5) years of experience with progressively more complex applied statistics.
• Five (5) years applied experience in using one or more common statistical language programs

Additional Technical Requirements

• Proficient 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.
• Proficient in UNIX and/or Windows OS.

All CHOP employees who work in a patient building or who provide patient care are required to receive an annual influenza vaccine unless they are granted a medical or religious exemption.Children's Hospital of Philadelphia is committed to providing a safe and healthy environment for its patients, family members, visitors and employees. In an effort to achieve this goal, employment at Children's Hospital of Philadelphia, other than for positions with regularly scheduled hours in New Jersey, is contingent upon an attestation that the job applicant does not use tobacco products.Children's Hospital of Philadelphia is an equal opportunity employer. We do not discriminate on the basis of race, color, gender, gender identity, sexual orientation, age, religion, national or ethnic origin, disability or protected veteran status.VEVRAA Federal Contractor/Seeking priority referrals for protected veterans. Please contact our hiring official with any referrals or questions.CHOP Careers ContactTalent Acquisition2716 South Street, 6th FloorPhiladelphia, PA 19146