The Corrigan Minehan Heart Center at Massachusetts General Hospital is seeking exceptional candidates to join the lab of Dr. Steven Lubitz in the Cardiovascular Research Center, serving in the role of biostatistician. The candidate will join an interdisciplinary team of epidemiologists, senior statisticians, and clinicians, computational biologists, bioinformaticians, clinical informatics personnel, research coordinators, and research nurses who are working together to identify the causes of cardiac arrhythmias and identify methods to improve health outcomes. Projects will focus on 1) identifying factors related to arrhythmias, 2) modeling strategies to improve health outcomes, and 3) implementing pragmatic interventions to diagnose arrhythmias and minimize morbidity. Current efforts include a large-scale randomized clinical trial focused on screening patients for atrial fibrillation, randomized implementation of atrial fibrillation risk prediction in clinical practice, and large-scale observational electronic health record research. The candidate will work with robust human health data derived from clinical data linked to electronic medical records from 7 academic hospitals spanning records for over 6 million individuals.
The candidate will be a critical member of the lab organization. Primary roles will include the development and execution of statistical analysis plans, development of computational algorithms for database analysis, and manuscript writing. The candidate must thrive in an academic/professional atmosphere, where interdisciplinary teams are central to project success. A high level of maturity is essential, as the analyst is given access to personal and confidential medical information. Strong organizational and interpersonal skills, attention to detail, and the ability to prioritize multiple tasks are essential. The candidate must be self-motivated, independent in task completion, and comfortable accepting feedback and guidance from colleagues. This position is ideal for either individuals with a Master of Science or PhD degree (postdoctoral fellow) in Biostatistics, Epidemiology, or Public Health with 1 to 2 years of real-world analytic experience. Prior experience with electronic health records or claims data is preferred.
PRINCIPAL DUTIES AND RESPONSIBILITIES:
- Lead the design and development of statistical analysis plans for projects.
- Assist in the review of data collection forms.
- Work with the study team to develop reporting plans and generate reports on study progress.
- Assemble analysis data sets from potentially diverse sources.
- Develop programs to perform data validation and error detection to ensure data integrity.
- Coordinate and interact closely with other collaborating scientists on data quality and file management.
- Perform statistical analyses of clinical trial and observational data.
- Apply traditional epidemiologic and statistical methods to analyze relations between risk factors and health outcomes, including prediction modeling and absolute risk modeling.
- Work with other team scientists in the development of computer-based decision analytic models to inform the optimal effectiveness of management approaches.
- Regularly communicate accomplishments and progress at project team meetings.
- Proactively communicate with data analysis groups to help ensure analytical goals are achieved.
- Actively participate in the preparation of manuscripts for publication, scholarly reports and present at scientific conferences.
- Share expertise, provide training and guidance with other team members as needed.
- Participate within a team of scientists to foster a culture of scientific excellence.
Qualifications SKILLS/ABILITIES/COMPETENCIES REQUIRED:
- Master of Science or PhD degree in Biostatistics, Epidemiology, or Public Health.
- Experience with traditional epidemiological and biostatistical modeling methods, including time to event analysis, is required.
- Experience with observational data analysis including risk prediction modeling and absolute risk estimation is strongly preferred.
- Experience with clinical trials is strongly preferred.
- Experience with electronic health records research or claims data is strongly encouraged.
- Experience computational methods relevant to high dimensional data analysis and disease classification algorithms.
- Must have demonstrated proficiency with at least one of the following computer languages/environments: SAS, SQL, R, Python, Unix, Java, HTML, Matlab, R, C, C++.
- Ability to work independently while making necessary connections with experts in various computational analysis groups.
- Willing to commit to a two-year position. Postdoctoral fellowship positions may be three years or longer.
- Self-starter, highly motivated.
- Excellent communication skills.
- Excellent organization and time management skills.
Master of science required or PhD degree preferred. Coursework in advanced-level math or science.
Experience 1 or 2 years working in an analytic environment preferred.
EEO Statement Massachusetts General Hospital is an Equal Opportunity Employer. By embracing diverse skills, perspectives and ideas, we choose to lead. Applications from protected veterans and individuals with disabilities are strongly encouraged.
Primary Location: MA-Boston-MGH Main Campus Work Locations: MGH Main Campus 55 Fruit Street Boston 02114 Job: Professional/Managerial Organization: Massachusetts General Hospital(MGH) Schedule: Full-time Standard Hours: 40 Shift: Day Job Employee Status: Regular Recruiting Department: MGH Cardiovascular Research Center Job Posting: Jun 17, 2019