Biostatistician ; Epidemiology & Data Science Section

Position: Biostatistician I (Epidemiology & Data Science Section)
# Biostatistician I (Epidemiology & Data Science Section)
Beth Israel Lahey Health Full Time Boston, Massachusetts, USPosted Yesterday##

Role Overview Beth Israel Lahey Health is hiring a Biostatistician I (Epidemiology & Data Science Section). This is a full-time role in Boston, Massachusetts. posted yesterday. Full responsibilities, required qualifications, and the apply link are listed in the description below.## Resume Keywords to Include Make sure these keywords appear in your resume to improve ATS scoring

ExcelEHRORCompensationBILHBiostatistician Department Epidemiology Sign  up free to auto-tailor your resume with all these keywords and get a higher ATS score## Job description

When you join the growing BILH team, you're not just taking a job, you’re making a difference in people’s lives.

The Biostatistician will be responsible for performing primary analysis for research projects as determined necessary by the Department. She/he will be responsible for developing study hypothesis, method development, data extraction, organization and detailed analysis. She/he will work with faculty to design the study, analytic plans and then perform these analyses in a rigorous fashion. She/he will have responsibility for assuring that projects are proceeding according to plan and helps develop recording systems assuring the flow of data is tracked in an accurate and timely fashion.

The Epidemiology and Data Science Section at the Richard

A. and Susan

F. Smith Center for Outcomes Research at BIDMC is seeking a Biostatistician I. The Smith Center (Richard

A. and Susan

F. Smith Center for Outcomes Research) is devoted to addressing the most pressing issues in cardiovascular care through innovative and rigorous analysis of diverse data sources, including large national registries, administrative claims data, survey-based data, and EHR data. The Epidemiology & Data Science Section focuses on the development of novel methods of extending causal inferences from one or more trials to target populations and transporting clinical prediction models.

The Biostatistician I will work closely with Section Head Dr. Issa Dahabreh, Smith Center Director Dr. Robert Yeh, and Smith Center Director of Research Statistics Yang Song, PhD, on technical work that requires understanding semi parametric theory and empirical process theory, with a focus on applications to causal inference methods development. The Biostatistician I’s work will include: contributing to the development and evaluation of new biostatistical methods including target trial emulation, generalizability, transportability, and target augmentation analyses;

designing and implementing simulation studies to evaluate novel methods, including comparisons against previously proposed methods such as dynamic borrowing and Bayesian methods; and implementing methods in empirical evaluations and applied work. The Biostatistician I should have prior experience and knowledge of causal inference and biostatistical methods including target trial emulation, generalizability, transportability, and target augmentation analyses; experience with large datasets – including administrative (Medicare) claims and nation-wide registries – and clinical trials data.

Job Description:

Essential Responsibilities:

Assist in the design and management of data storage using Access, Excel and other relevant data management systems.

Using SAS and other relevant statistical software, create analytic files by merging multiple, large databases including Medicare, and other complex claims-based data to meet the analysis goals.

Carry out and conduct statistical analyses of large and small databases using SAS, SUDAAN and other related statistical software.

Create tables and figures that accurately reflect the results of the analysis

Serve as a resource and help answer programming questions for Division's trainees (Research Fellows, Research Students) and Research Staff at the discretion of the Principal Investigator.

Required Qualifications:

Bachelor's degree required in Statistics, Computer Science or Public Health;
Master's degree preferred.
1-3 years related work experience required.

Proficient in running SAS…