Biostatistician I

Beth Israel Lahey Health•Boston, MA

2d•$60,000 - $99,000•Onsite

About The Position

When you join the growing BILH team, you're not just taking a job, you’re making a difference in people’s lives. The BIDMC Cardiology Division and CardioVascular Institute is seeking a highly motivated individual with expertise in biostatistics to work on multiple clinical and translational research projects focused on cardiovascular disease. This Biostatistician position offers the opportunity to work directly with Senior Investigators in the Division of Cardiology at BIDMC and a collaborative multidisciplinary team of clinicians, scientists, and trainees. The candidate will be responsible for performing primary analyses, including development of study design, methods development, data extraction, organization, and detailed rigorous analyses. The candidate will have the opportunity to incorporate machine learning based analyses for projects related to heart disease, and to leverage conventional and advanced approaches to analyze large unique high-dimensional complex databases of human data.

Requirements

Bachelor's degree required in Statistics, Computer Science or Public Health
1-3 years related work experience required.
Proficient in running SAS statistical analysis procedures required.
Understanding of statistical concepts and SAS procedures; familiarity with epidemiological and quality assurance principles.
Prior research experience required.
Must be able to create analytic files by merging multiple, large databases; formatting; recording; and sub setting data to meet the analysis goals.
Must be able to create tables and figures that accurately reflect the results of the analysis.
Advanced skills with Microsoft applications which may include Outlook, Word, Excel, PowerPoint or Access and other web-based applications.
May produce complex documents, perform analysis and maintain databases.

Nice To Haves

Master's degree preferred.
Familiarity with SUDAAN and STATA preferred.

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.