Senior Statistical Analyst, Science & Technology Platform

Overview of Ariadne Labs
Ariadne Labs is a joint center for health systems innovation at Brigham and Women’s Hospital and the Harvard T.H. Chan School of Public Health. Our goal is to drive scalable solutions for better care at critical moments in people’s lives everywhere. Better care means better health outcomes, lower costs, and more actual caring. Critical means solving health systems failures that have major impact, typically touching people by the millions. Ariadne Labs currently has research programs in the areas of childbirth, surgery, palliative care, and primary health care.

The Senior Statistical Analyst will join the Data Science team within the Science & Technology platform. The Science and Technology platform consists of experts in quantitative and qualitative research methodologies, implementation science, and software engineering. The Senior Statistical Analyst will bring expertise in statistical programming and will work with Senior Scientists and clinical study teams to manipulate and analyze data.
 

Job-Specific Responsibilities

Duties and responsibilities include, but are not limited to, the following:

  • Collaborate closely with study teams, communicate processes and results clearly, and establish trusting collegial relationships.
  • With autonomy and independence, prepare and manipulate datasets of various types, including cleaning, linking, and joining, in shared data servers and environments. Data types will vary, but typically include observational or experimental data arising from formal research designs or administrative records. N’s are typically small, <1,000.
  • Apply technical knowledge and experience to design statistical analyses in consultation with study investigators and other data science team members. Analyses typically involve a first phase of generating descriptive tables for data diagnostics and quality assurance. The second, analytic phase can range from simple statistical tests to modeling with linear regression, logistic regression, Cox regression, or methods for clustered and repeated measures data.
  • Carry out the statistical analysis plans through programming in SAS, R, Python, Stata, or similar language (SAS preferred). Use SAS macros, Stata programs, or similar structures to write efficient, well-documented code.
  • Leverage expertise and technical knowledge to create data visualizations using Excel, PowerPoint, Tableau, Spotfire, R, or similar tools.
  • Support study teams in proposal development by participating in study design discussions, including performing sample size and power calculations, and contributing to methods and other sections, as needed.
  • Draft methods and results sections of manuscripts and other deliverables, with input from senior staff.
  • Contribute to the Data Science team by supporting colleagues, attending regular team meetings, helping to evaluate projects and set priorities, and similar team-building activities.
  • Performs other duties as assigned.

PLEASE NOTE: Short-listed candidates will be required to submit a work/code sample and/or take a SAS programming test.

PLEASE NOTE: This position has a term appointment of one year from date of hire with the possibility of extension. The primary work location for this position is Boston, MA and in order to be on Harvard payroll, you must reside in one of the following states – MA, NH, RI, ME, CT, VT, NY, MD, or CA. We are also working primarily remotely at this time due to the COVID-19 pandemic. Until our return to campus, which is anticipated to begin in fall 2021, this interview process and position will be conducted virtually – including virtual interviews, remote onboarding, and remote work. The remote nature of this position is only temporary. Local, on-campus work will be required as a condition of continued employment once the School and this role return to an operational status that supports it. The Harvard T.H. Chan School of Public Health will support flexible work schedules upon this return, subject to individual departments’ business needs.

Basic Qualifications

  • Bachelor’s degree in biostatistics, statistics, epidemiology, public health, applied mathematics, computer science, or closely related field required
  • 2+ years of related experience required
  • Statistical programming experience in SAS, or related software, required 
  • Data visualization experience in Excel, PowerPoint, Tableau, Spotfire, R, or related software, required

Additional Qualifications and Skills

The following job-specific skills and competencies are preferred:

  • Master’s degree in epidemiology, public health, health services research, biostatistics, or related field, along with 5+ years of professional programming or research experience
  • PhD in epidemiology, public health, health services research, biostatistics, or related field, and 1+ years post-doctoral research experience is a strong plus
  • Excellent statistical programming skills
  • Familiarity with research designs and statistical models outside our normal tools, such as those in econometrics, machine learning, or Bayesian statistics. Surprise us!
  • Familiarity with qualitative research methods
  • Training in human subjects protection and experience with IRB approvals
  • Strong knowledge of a broad range of research designs in health care, epidemiology, implementation science, and similar fields
  • Comfort with many types of data structures arising from different research designs or from administrative data such as claims or EHR
  • Work effectively in a matrixed environment, on more than one project at a time
  • Works well on a cross-functional team with many types of people, ranging from software developers to clinicians
  • Curiosity and willingness to learn

To apply, log onto Harvard Careers and search requisition #56228BR under the “Search Jobs” tab.