Senior Data Scientist

The Frederick National Laboratory is dedicated to improving human health through the discovery and innovation in the biomedical sciences, focusing on cancer, AIDS and emerging infectious diseases.

The Biomedical Informatics and Data Science (BIDS) directorate works collaboratively and helps to fulfill the mission of Frederick National Laboratory in the areas of biomedical informatics and data science by developing and applying world leading data science and computing technologies to basic and applied biomedical research challenges, supporting critical operations, developing and delivering national data resources, and employing leading-edge software and data science to effectively enable and advance clinical trials.

The Strategic and Data Sciences Initiatives (SDSI) group in BIDS works collaboratively to continue to accelerate cancer research with a focus on increasingly effective use of data and scalable computing while guiding development of future computational infrastructure and workforce capabilities needed to address key cancer research challenges.

KEY ROLES/RESPONSIBILITIES
Senior Data Scientist:

• Responsible for the analysis of bioinformatics data through the use of machine learning techniques, computational methods, and cloud resources to facilitate analysis such as next generation sequencing, functional genomics data, drug data, natural language processing, molecular dynamics simulations, and image processing
• Provides expertise and guidance for data integration and data aggregation across multiple data types and data sources
• Contributes with educational material and expertise for training initiatives across the program
• Contributes to development and testing of data science workflows implemented on High Performance Computing and Cloud systems

BASIC QUALIFICATIONS
To be considered for this position, you must minimally meet the knowledge, skills, and abilities listed below:

• Possession of a Masters of Science from an accredited college or university according to the Council for Higher Education Accreditation in areas related to life science, computer science, data science, or biomedical informatics. (Additional qualifying experience may be substituted for the required education)
• Five (5) years of experience working in clinical/bioinformatics projects with a strong background in programming (e.g. Python, R, Perl, bash)
• Working knowledge of bioinformatics methods and data formats (e.g., NGS, medical images, NLP, structural biology, molecular dynamic simulations, etc.) and experience working with Ph.D. and M.D. researchers
• Hands-on experience working with various life sciences research data and metadata including proteomics, genomics, image analysis, and clinical data
• Self-motivated and willing to learn and explore technology
• Must be able to obtain and maintain a Public Trust Clearance

PREFERRED
Candidates with these desired skills will be given preferential consideration:

• Experience with application of machine learning / deep learning methods for medical data
• Experience with cloud environment e.g. AWS, Azure or Google Cloud
• Knowledge of scientific workflows development (e.g. Snakemake, Nextflow, CWL, etc.)
• Experience with use of containers (e.g., Docker, Singularity), etc.

EXPECTED COMPETENCIES

• Ability to work with ease in a fast paced, agile environment
• Self-motivated and result-oriented, able to handle multiple projects efficiently
• Excellent communication and interpersonal skills
• Must be a team player

Equal Opportunity Employer (EOE) | Minority/Female/Disabled/Veteran (M/F/D/V) | Drug Free Workplace (DFW)

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