Anesthesiology Faculty Data Science Research

We are seeking an entry-level data scientist junior faculty to join our clinical data research lab. The ideal candidate will have a strong foundation in statistics machine learning and data programming. This position is expected to work in two separate locations in the STAR-ORC lab located at the UMB campus and at the new University of Maryland-Institute for Health Computing which is a major computational research hub in North Bethesda that uses next-generation computational analytics to improve health and human disease. The position will be responsible for developing and implementing data analysis pipelines to support a variety of clinical research projects as well as mathematical modeling to improve predictions and analytic capabilities that merge different kinds of data assets (i.e. clinical biological environmental).

Job Duties:

l Lead the data analysis in clinical and laboratory research projects. Join team meetings and provide suggestions in research methodologies and plannings.

l Develop grants applications.

l Develop and maintain data analysis pipelines including data extraction cleaning transformation quality assurance pipeline monitoring and maintenance.

l Apply statistical and machine learning methods to support meaningful data analyses.

l Create high-quality and informative graphs and write corresponding manuscript sections to describe the methodology and results in detail for scientific publications.

l Work with other members of the team to design and conduct clinical research studies.

l Collaborate with clinicians and scientists to translate research findings into clinical practice.

l Apply next-generation computational approaches to clinical biological and environmental big data assets.

l Integrate high-level mathematics to predict events that are important in health outcomes including treatment response hospitalizations and other end-points.

l Promote analytics that consider bias and improve health equity.

Required Qualifications:

l Strong programming skills in Python R or another statistical programming languages.

l Experience with statistical methods (such as descriptive statistics hypothesis testing time series analysis etc.) and machine learning methods (data cleaning feature engineering hyperparameter tuning model evaluation and interpretation).

l Scientific literature search and review skills.

l Excellent analytical and problem-solving skills. Be able to work independently and collaboratively.

l Good communication (written and oral) and interpersonal skills.

l Experience as a good team member or team leader.

Preferred Qualifications:

l Experience with clinical data and clinical research methods.

l Experience with statistical and machine learning libraries and tools such as Scikit-learn pandas.

l Experience as a good team member or team leader autonomy in the health care system clinical analytics field and pursuing health equity.

l A significant publication record in clinical/health care analytics or healthcare.

l A track record of applications for grant funding in clinical/health care analytics.

l Experience with deep learning and its framework (e.g. Pytorch) is a plus.

Required Education and Experience:

l Doctoral degree in statistics computer science data science or a related field.

l A faculty member at an academic medical center (or equivalent) in good standing at the level of assistant professor or above (rising assistant professors also considered).

l 0-2 years of experience in a data science role.

UMB is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex gender identity sexual orientation race color religion national origin disability protected Veteran status age or any other characteristic protected by law or policy. If you need a reasonable accommodation for a disability for any part of the employment process please submit an online request or contact . Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address.

Please reference this recruitment advertisement and position number in your cover letter. Interested candidates should use this online portal to submit their cover letter CV and contact information for three references.

Qualified applicants must have a doctoral degree professional experience consistent with the faculty rank of Assistant Professor or higher. Expected rank for this position will be Assistant Professor or higher however final rank and tenure status will be commensurate with selected candidates experience.