This is a Without Compensation position. There will be no pay for work in this position.

Duties

Duties Include: Conducts data analyses including machine learning and natural language processing Oversees the scientific conduct of the study by guiding study design and implementing research studies, including development of study protocols providing subject matter expertise and writing manuscripts. Oversees study operations and works closely with project management team to ensure that the project meets timeline goals and regulatory requirements. Provides input on methods for analyzing cross-sectional data, as well as longitudinal data methods Assists senior management to oversee quality, coordination and timelines of study data, facilitating and operationalizing the management of study planning activities Collaborates with study investigation team members to prepare grants, abstracts, manuscripts and presentations for external meetings. Management of databases. Performs other related duties as assigned. Work Schedule: Full-time, Monday - Friday; to be set between the hours of 6:30am to 5:00pm Compressed/Flexible: May be available Telework: VA supports the use of telework as a way to help attract and retain talented individuals in public service, increase worker productivity, and better prepare the agency to operate during emergencies. This position may be authorized for telework. Telework eligibility will be discussed during the interview process. Virtual: This is not a virtual position. Position Description/PD#: Data Scientist (WITHOUT COMPENSATION)/PDN/A Relocation/Recruitment Incentives: No Critical Skills Incentive (CSI): No ???????Financial Disclosure Report: Not required

Requirements

Qualifications

To qualify for this position, applicants must meet all requirements by the closing date of this announcement, 01/30/2024. You may qualify based on your experience and/or education as described below: Specialized Experience: You must have one year of specialized experience. Specialized experience would typically include but is not limited to: Python (Numpy, Pandas, Scikit-Learn, Matplotlib, Seaborn, SciPy), Machine learning (Linear/logistic regression,Random Forest, XGBoost, Decision tree, Clustering), Statistical/Predictive Modeling, Tableau, SAS, Jupyter, SQL,Tensorflow, Keras, PyTorch, GCP, AWS, Flask, NLTK, Github, Linux/Unix, AND; Education: Applicants must posses possess a Bachelor's level degree with a major study in an academic field related to the medical field, mathematics, statistics, computer science, data science appropriate to the work of the position. (transcript must be submitted with application) Preferred Experience: At least 3 years of experience in developing machine learning and statistical models and in statistical genetics including analysis of RNA-seq data. Experience as a project leader and co-investigator with excellent presentation skills. Experience in presentations and publications with minimum 5 publications, AND: Preferred Education: a Ph.D level degree with a major study in an academic field related to the medical field, mathematics, statistics, computer science, data science appropriate to the work of the position. (transcript must be submitted with application) You will be rated on the following Competencies for this position: CommunicationsDatabase Management SystemsLead or Supervise Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religions; spiritual; community; student; social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience. Note: A full year of work is considered to be 35-40 hours of work per week. Part-time experience will be credited on the basis of time actually spent in appropriate activities. Applicants wishing to receive credit for such experience must indicate clearly the nature of their duties and responsibilities in each position and the number of hours a week spent in such employment. Physical Requirements: Note: A full year of work is considered to be 35-40 hours of work per week. Part-time experience will be credited on the basis of time actually spent in appropriate activities. Applicants wishing to receive credit for such experience must indicate clearly the nature of their duties and responsibilities in each position and the number of hours a week spent in such employment. For more information on these qualification standards, please visit the United States Office of Personnel Management's website at https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/.

Education

A transcript must be submitted with your application.

Note: Only education or degrees recognized by the U.S. Department of Education from accredited colleges, universities, schools, or institutions may be used to qualify for Federal employment. You can verify your education here: http://ope.ed.gov/accreditation/. If you are using foreign education to meet qualification requirements, you must send a Certificate of Foreign Equivalency with your transcript in order to receive credit for that education. For further information, visit: http://www.ed.gov/about/offices/list/ous/international/usnei/us/edlite-visitus-forrecog.html.

Contacts

• Address VA Providence Healthcare System 830 Chalkstone Avenue Providence, RI 02908 US
• Name: Anthony Cappiello
• Phone: (401) 317- 6359
• Email: [email protected]