Senior Data Scientist
Location: Bethesda, MD 20892 (Onsite)
Weekly Hours: 30-40 hours per week
Duration: Long term Contract
W2 Role (NO C2C)
Position Summary:
We are seeking a Scientific Computing Specialist to provide comprehensive support for statistical modelling, server and software management, database management, web development, and data visualization. The ideal candidate will have experience with MATLAB, Linux, R, Python, and Shiny languages, and proficiency in optimizing the extraction and analysis of multivariate data using relational databases (e.g., PostgreSQL).
Key Responsibilities:
Statistical Modelling: Apply a variety of statistical and computational techniques to solve complex analytic problems. Assist with biostatistics and statistical modeling across various applications.
Software and Database Management: Develop, test, and refine programming methods, toolkits, and algorithms. Optimize data extraction and analysis using PostgreSQL and maintain software and databases.
Web Development: Develop and utilize dynamic web applications or software tools for bioinformatics applications using R, Shiny, and/or Python.
Data Visualization: Implement applications for analysing diverse data sets, including time series, transcriptomics, and behavioural data.
Technical Support: Provide support for bioinformatics and scientific computing research projects. Maintain and monitor applications, databases, and software tools. Document programming problems and solutions.
Documentation and Reporting: Prepare roadmaps, schedules, status reports, and recommendations. Document algorithms and contribute to the publication of software and research.
Qualifications:
Education: Bachelor’s degree in Computer Science, Computer Programming, or a related field. A Master’s degree is preferred.
Experience: At least 3 years of experience in related fields. Minimum of 1 year of statistical modelling experience.
Skills:
Statistical modelling
Server hardware/software management
Database management
Web development
Data visualization
Software Experience:
MATLAB
R languages
PostgreSQL
GitHub
Linux
Python and/or Shiny
Field of Study:
Computer Programming and Data Processing
Computer Science
Information Sciences
Statistics and Decision Science
Computer and Information Systems
Additional Responsibilities:
Develop and maintain data processing pipelines for efficient data movement and display.
Design and implement backup strategies for data and applications.
Provide feasibility studies and research for database compatibility and usability.
Troubleshoot and refine existing code and applications.
Support hardware and software needs and provide technical assistance to users.
PriceSenz is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, age, sex, sexual orientation, gender identity, national origin, or disability.