Biostatistician (Senior Research Associate STS) 137 - Cardiology (Medicine)

Date: January 2022

Title: Biostatistician (Senior Research Associate STS) 137

Department: Cardiology (Medicine)

School: Medicine

Location: Wolstein Research Building, 4th floor

Supervisor Name and Title: Sanjay Rajagopalan, Director Cardiovascular Research Institute (CVRI) and Chief Cardiovascular Medicine, Harrington Heart and Vascular Institute (HHVI), Professor of Medicine and Radiology

 

POSITION OBJECTIVE

The Biostatistician/Senior Research Associate STS will play a leading role in managing all aspects of data analysis for the Translational Sciences Unit (TSU) within the Division of Cardiovascular Medicine and its associated nationally reputable interdisciplinary programs, CINEMA and CLARIFY. The Biostatistician/SRA STS will provide expertise and support to research projects with the aim of fostering translational and implementation science research in patients at risk for heart and vascular complications in the Cardiovascular Research Institute at Case Western Reserve University. The Biostatistician/STA STS will be responsible for implementing and fully supporting statistical analysis and information visualization (e.g. figures, graphs) for the TSU and all its ancillary programs. The SRS STS is expected to work with a high degree of independences and serve in a leadership role for the TSU and its programs.

 

ESSENTIAL FUNCTIONS

  1. Work with the clinical collaborative team as the biostatistical expert and advisor to clinical investigators on protocol development, on protocol development, from the hypothesis generation phase through the dissemination of results. Train, supervise, and provide oversight to lab members. (20%)
  2. Determine appropriate statistical approaches and conduct complex statistical analysis of data from experimental and observational clinical research studies in the TSU. (20%)
  3. Prepare written reports for projects that summarize the analysis of research data, interpret the findings, and provide conclusions and recommendations. (20%)
  4. Manage a large prospective registry (CLARIFY) involving >60,000 individuals with sophistical phenotypic measures of heart and vascular health. (10%)
  5. Assist in-house efforts to improve data visualization for complex bioinformatic datasets including animal experiments that combine transcriptomics, proteomics and epigeomic data sets (20%).
  6. Actively participate in manuscript preparation and submission of grants. (10%)

 

NONESSENTIAL FUNCTIONS

  1. Supervise student trainees in experimental design and data analysis of a variety of projects.
  2. May supervise lab staff and graduate students.
  3. Perform other duties as assigned.

 

CONTACTS

Department: Routine contact with PI and laboratory members

University: Regular contact with clinical investigators to advise on and collaborate with on research projects; Occasional contact with collaborating departments to share information

External: Maintain and develop contacts with external collaborators

Students: Oversee and train students

 

SUPERVISORY RESPONSIBILITY

My supervise lab members, including research assistants and graduate students.

 

QUALIFICATIONS

Experience: Minimum 5 years of experience in biostatistical analysis. Demonstrated advanced skill will be considered is required. Expert working knowledge and application of R, SAS, Power Bl and other related data visualization software. Individuals who are experienced in MS SQL Server, complex analysis of large data sets including use of unbiased approaches such as Machine Learning etc and familiarity with graphical software (e.g. GraphPad and Adobe Photoshop) would be an added advantage but not necessary.

Education/Licensing: PhD or Master of Science (MS) in Biostatistics/Epidemiology required.

 

REQUIRED SKILLS

  1. Proficiency in R, SAS, Power Bl and other related data visualization software.
  2. Experience in one or more of the following is strongly preferred: MS SQL Server, complex analysis of large data sets including use of unbiased approaches such as Machine Learning etc
  3. Familiarity with graphical software (e.g. GraphPad and Adobe Photoshop) preferred.
  4. Excellent oral and written communication skills and interpersonal skills; must demonstrate the ability to effectively and professionally communicate and work with various individuals within and external to the University.
  5. Strong organization skills; ability to multi-task, prioritize and meet deadlines.  Must demonstrate attention to detail and accuracy, time management skills, and follow-through. Must be able to work under pressure and conform to shifting priorities, demands and timeline.  
  6. Ability to work effectively independently and collaboratively within a team.  Must be highly motivated, responsible, dependable and a self-starter.
  7. Effective problem-solving skills; must demonstrate innovation and creativity, excellent analytical skills, sound judgment and good decision-making. 

 

WORKING CONDITIONS

General office and laboratory environment with no expected exposure to known hazards. Will be required to wear appropriate PPE when applicable. Expected to work after hours/weekends if required by research projects.

 

DIVERSITY STATEMENT

In employment, as in education, Case Western Reserve University is committed to Equal Opportunity and Diversity.  Women, veterans, members of underrepresented minority groups, and individuals with disabilities are encouraged to apply.

Apply to sxr647@case.edu