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Wayne State University Research Assistant - Department of Ophthalmology, Visual and Anatomical Sciences in Detroit, Michigan

Research Assistant - Department of Ophthalmology, Visual and Anatomical Sciences

Wayne State University is searching for an experiencedResearch Assistant - Department of Ophthalmology, Visual and Anatomical Sciencesat its Detroit campus location.

Wayne State is a premier, public, urban research university located in the heart of Detroit, Michigan where students from all backgrounds are offered a rich, high-quality education. Our deep-rooted commitment to excellence, collaboration, integrity, diversity and inclusion creates exceptional educational opportunities which prepare students for success in a global society.

Essential functions (job duties):

Perform laboratory based scientific techniques or clinical/population science (human subjects) research. Design and perform experiments, recruit participants for studies by developing surveys and interviewing candidates. Participate in implementing research objectives, ensuring compliance with all legal, regulatory and protocol guidelines. Assist staff with experiments/research protocols as required. Communicate with principal investigator and Postdoctoral scholars/fellows on the status of research.

Collect and log laboratory results, clinical outcomes and/or survey data. Evaluate and perform data analysis using graphs, charts or tables to highlight the key points of the research results collected in accordance with the research protocols as stipulated. Proofread and edit research data and documents to ensure accuracy.

Assist principal investigator with writing methods and summarizing/organizing data to be used in preparing and presenting presentations for professional, scientific and academic conferences and submittal to academic and scholarly peer-reviewed journals.

Maintain the laboratory work areas including routine maintenance on laboratory equipment as required. Order and organize required research supplies and records. Maintain cleanliness and organization of work station.

Perform other related duties as assigned.

Unique duties:

Master’s-trained Biostatistician to work with NIH-funded research projects focused on imaging data analysis, working under supervision to analyze data using established methods and assist in developing new analytical approaches for these imaging datasets. The Biostatistician will apply complex data management and a variety of intermediate and advanced statistical techniques and technical skills to promote the collection, analysis and interpretation of data arising from research studies. This work may include providing statistical consultation on study design and data preparation, assistance with the statistical aspects of manuscripts, posters and abstracts.

Qualifications:

MINIMUM QUALIFICATIONS

Education: Bachelor's degree

Bachelor’s degree in a related field of study, preferred. Requires advanced knowledge

predominantly intellectual in character in a field of science or learning acquired by a prolonged

course of specialized intellectual instruction.

Experience: Entry level (less that a year of job-related experience)

Experience performing basic research techniques or interacting with human subjects, preferred.

Knowledge, Skills and Abilities:

Ability to work independently. Ability to analyze, summarize and interpret research findings and

data in reports and spreadsheets and communicate results. Knowledge of scientific integrity

principles. Excellent time management and organization skills. Excellent interpersonal and communication skills and demonstrated ability to work with others in a collaborative environment. Microsoft office software skills.

Preferred qualifications:

Master’s preparation in Statistics with statistical consulting or another related field with strong analytical skills required. Prior work experience in public health, epidemiology, and/or biomedical research is desirable. Experience in mixed models, and experience with longitudinal data analysis, functional data analysis, and generalized additive models would be a bonus. Skilled in descriptive analysis and applying modern statistical methods in modeling of data. Technical writing and computer programming skills. Strong communication and strong interpersonal skills. Proficient in at least either SAS or R. Experience with SQL, other statistical software, and programming languages is a bonus. Willingness to learn new statistical methods and new software. Document all aspects of analyses. Ability to handle multiple projects simultaneously, prioritize heavy workload and function both autonomously and as member of a team.

School/College/Division:

H06 - School of Medicine

Primary department:

H0603 - Department of Ophthalmology, Visual and Anatomical Sciences

Employment type:

  • Regular Employee

  • Job type: Full Time

  • Job category: Research

Funding/salary information:

  • Compensation type: Annual Salary

  • Hourly rate:

  • Salary minimum: TBD

  • Salary hire maximum: TBD

Working conditions:

Typical work environment may include a laboratory and/ or office environment. May require working non-standard business hours including evenings and weekends. May be required to travel to scientific conferences.

Job openings:

  • Number of openings: 1

  • Reposted position: No

  • Reposted reason: None (New Requisition)

  • Prior posting/requisition number:

Background check requirements:

University policy requires certain persons who are offered employment to undergo a background check, including a criminal history check, before starting work. If you are offered employment, the university will inform you if a background check is required.

Equal employment opportunity statement:

Wayne State University provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. The university encourages applications from women, people of color and other underrepresented people. Wayne State is an affirmative action/equal opportunity employer.

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