RESEARCH TECHNICIAN II

School of Medicine

Established in 1930, Duke University School of Medicine is the youngest of the nation's top medical schools. Ranked sixth among medical schools in the nation, the School takes pride in being an inclusive community of outstanding learners, investigators, clinicians, and staff where interdisciplinary collaboration is embraced and great ideas accelerate translation of fundamental scientific discoveries to improve human health locally and around the globe. Composed of more than 2,600 faculty physicians and researchers, nearly 2,000 students, and more than 6,200 staff, the Duke University School of Medicine along with the Duke University School of Nursing, and Duke University Health System comprise Duke Health, a world-class academic medical center. The Health System encompasses Duke University Hospital, Duke Regional Hospital, Duke Raleigh Hospital, Duke Health Integrated Practice, Duke Primary Care, Duke Home Care and Hospice, Duke Health and Wellness, and multiple affiliations.

Occupational Summary

A full-time, in-person, scientist to conduct research in the field of cardiology and cardiovascular genetics at Duke University.  The individual will perform a variety of activities involved in both analyzing large biological and genomic datasets, including statistical analyses and data visualization, as well as wet lab experimentation to explore the genetic causes of heritable cardiovascular diseases. 

Work Performed

We are seeking a full-time, in-person, staff scientist to 1) assist in cohort and dataset building in large population biobanks such as NIH All of Us, 2) assist in genomic analysis of large datasets, 3) assist in coding for statistical analysis and data visualization, 4) assist in cell culture work to translate findings into cell models of disease, and 5) assist in other administrative duties in the lab, such as ordering and biobank maintenance. 

Other aspects of the job include: 1) establish/optimize work procedures and experimental protocols, 2) evaluate and interpret collected data under the guidance of the principal investigator, 3) help in the preparation of oral presentations and/or written reports for meetings, manuscripts, and grants.

Required Skills

- Independently code and conduct statistical analyses in Python with supervision

- Familiarity with coding and analyzing large datasets and statistical analysis

- Willingness to learn bioinformatics tools to be used on large population datasets

- Willingness to do cell culture work with mammalian and non-embryonic stem cells

- Strong work ethic, attention to detail, ability to maintain confidentiality with private health information, strong written and oral communication skills

Preferred Skills

- Familiarity with R

- Ability to visualize data in accurate and meaningful ways

- Experience with data visualization tools, such as Seaborn, Matplotlib, Plotly

- Training, deploying, and working with machine learning models 

The above statements describe the general nature and level of work being performed by individuals assigned to this classification. This is not intended to be an exhaustive list of all responsibilities and duties required of personnel so classified.

Work generally requires a bachelor's degree in botany, biology, zoology, psychology or other directly related scientific field.

None required above education/training requirement. OR AN EQUIVALENT COMBINATION OF RELEVANT EDUCATION AND/OR EXPERIENCE

Duke is an Affirmative Action/Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, sexual orientation, or veteran status.

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Essential Physical Job Functions: Certain jobs at Duke University and Duke University Health System may include essentialjob functions that require specific physical and/or mental abilities. Additional information and provision for requests for reasonable accommodation will be provided by each hiring department.