Environmental Data Science Intern Jobs in Baltimore, MD

Job Description
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/affirmative action 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.
Qualifications
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 and a track record of independent research funding from diverse sources.
Salary Range - Base Compensation [Research Faculty w/ PhD Degree]
Expected Salary Range: $69,336 to $164,684.
*The referenced salary range reflects base pay, which is based on faculty rank and years in rank. This salary range does not include all components of the Department of Anesthesiology faculty compensation program or pay from participation in Department of Anesthesiology incentive compensation programs. Therefore, the actual compensation paid to the selected candidate may vary from the salary range stated herein. For more information, please contact the hiring department.
The referenced salary range represents the minimum and maximum salaries for this position and is based on the University of Maryland School of Medicine's good faith belief at the time of posting. Not all candidates will be eligible for the upper end of the salary range. The actual compensation offered to the selected candidate may vary and will ultimately depend on multiple factors, which may include the successful candidate's geographic location, skills, work experience, internal equity, market conditions, education/training and other factors, as reasonably determined by the University.
UMB offers a comprehensive benefits package that prioritizes wellness, work/life balance, and professional development. This position participates in a retirement program that must be selected and is effective on your date of hire. Faculty receive a generous leave package that includes over 4 weeks of vacation accrued each year, paid holidays, personal leave, unlimited accrual of sick time, and comprehensive health insurance; professional learning and development programs; tuition remission for employees and their dependents at any University System of Maryland school.
Qualifications
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 candidate's experience. #J-18808-Ljbffr