Research Scientist/Engineer Senior

University of Washington Medical Center

1d•$120,000 - $140,004

About The Position

The Division of Metabolism, Endocrinology and Nutrition (MET) has an outstanding opportunity for a Research Scientist/Engineer Senior to join their team. The Division of Metabolism, Endocrinology and Nutrition (MET) has an outstanding opportunity for a Research Scientist/Engineer Senior position to support studies within the Pyle and Bjornstad Laboratories. Housed within the University of Washington Medicine Diabetes Institute at the South Lake Union campus, the Pyle laboratory applies translational data science to bridge complex biostatistics and bioinformatics findings into medical insights. The Bjornstad and Pyle laboratories focus on metabolic and hemodynamic mechanisms underlying the development of diabetic kidney disease (DKD) and cardiovascular disease (CVD) in Type 1 (T1D) and Type 2 (T2D) diabetes and obesity. The field of research this position is engaged in is Biostatistics and data analysis. This research applies translational data science to bridge complex biostatistics and bioinformatics findings into medical insights. This Research utilizes applied or computational mathematical and statistical analyses for a wide array of different applications and to solve complex problems. This position will work independently and in collaboration with investigators on all biostatistical aspects of the research process including the design of new studies, structuring data collection systems, data reduction and analysis, and preparation of abstracts, talks, and manuscripts. They will provide professional and rigorous statistical expertise. This position will teach biostatistics concepts to trainees and the job duties will include ongoing teaching and mentorship responsibilities. In addition to the role as biostatistician, they will also take on the role of Assistant Director and will have responsibilities related to the day-to-day management and operations of the UW Medicine Diabetes Institute (UWMDI) Biostatistics and Research Operations.

Requirements

Master's degree in Bioinformatics, Biostatistics, Computational Biology, Data Science, Computer Science or related field AND 8 years of relevant work experience.
Equivalent education/experience will substitute for all minimum qualifications except when there are legal requirements, such as a license/certification/registration.
Advanced knowledge of statistical principles relevant in medical research, including longitudinal data analysis and survival analysis
Ability to analyze and solve complex problems and apply quantitative analytical approaches
Ability to develop complex analytical plans in collaboration with investigators
Demonstrated fluency in one or more programming languages (e.g., R, Python, Perl, Java, C++) and willingness to learn new programming languages as necessary
Ability to communicate effectively, both in writing and orally
Ability to establish and maintain effective working relationships with employees at all levels throughout the institution
Outstanding customer service skills
Demonstrated commitment and leadership ability to advance diversity and inclusion
Ability to interpret and master complex research protocol information
Ability to handle multiple projects simultaneously within rigorous timelines
Demonstrated experience writing federal grant submissions, including power and sample size calculations
Demonstrated experience leading research teams and managing daily operations of a collaborative biostatistics/data science group
Demonstrated experience supervising biostatisticians and data scientists, including identifying training needs and opportunities and providing mentorship

Nice To Haves

Ability to develop new statistical and analytical methods leading to grant funding and accepted abstracts and publications in peer-reviewed journals
Experience with Linux operating systems, high performance computing

Responsibilities

Collaborate with faculty at the UWMDI on scholarly research projects, including activities such as: NIH and other Federal grant submissions, manuscript and abstract writing, protocol review, power and sample size calculations, statistical data analysis, data management and integration, data visualization, and reproducible research
Lead research teams in establishing, managing, and executing analytic plans
Provide ongoing education and mentorship on biostatistics to collaborators and trainees (students, residents, fellows)
Teach special topic workshops or seminar series
Derive new methods to analyze diabetes specific data, leading to grant funding, accepted abstracts and publications in peer-reviewed journals.
Promote practices that support diversity, equity, and inclusion within research projects
Attend statistical methodology training courses to stay up to date on methodology relevant to research at UWMDI
Travel to conferences (national and international) related to diabetes or statistical methodology
Lead the design and implementation of organizational systems and policies that enhance operational efficiency
Create and oversee comprehensive project management frameworks, including resource allocation, timeline management, and deliverable tracking
Establish and maintain key performance indicators (KPIs) for measuring group productivity and success
Participate in leadership discussions to set priorities and define scopes of work.
Identify opportunities for new collaborations and service offerings
Facilitate knowledge sharing and best practices across projects
Advise UWMDI leadership on team structure, allocation of resources, motivation and engagement of the research team
Review new project requests from faculty for feasibility, performing scope of work exercises, and assigning projects to biostatisticians within the Group
Project management duties, such as tracking ongoing projects to completion
Run meetings within the Group
Manage expectations, resolve issues, and ensure satisfaction of collaborators
Participate in search committees for hiring of new full time and student biostatisticians, as the needs of the Group grow
Supervise, hire and train other biostatisticians and bioinformaticians within the Group, including identifying training needs and opportunities, providing mentorship, and addressing any issues