data scientist Bethesda, MD
Job description
ACI is seeking a highly ambitious, adaptable, structured, and detail-oriented Data Scientist to join our vibrant team in Bethesda, MD.
Overall Position Summary and Objectives
The All of Us, Office of Data Analytics, Data Scientist focus on the business analytics, metrics collection, and analysis efforts in All of Us. Designing and implementing advanced configurations for complex data sets. Compiling data analysis and conducting sophisticated analysis using tools and natural language processing. Producing ad hoc reports to answer questions Processing data holdings to extract topics that could be parsed to further illuminate areas of customer interest and collection priorities
Work Details:
Provides programming and troubleshooting support to the Federal Government in the dissemination of research data.
Generate and optimize programs and scripts for the analysis of data; create programs and algorithms and develop computational infrastructure resources for organizing and parsing data from large and complex data.
Serve as bioinformatics expert and coordinate with teams of biologists to conduct experimental queries and/or perform portions of studies using complex procedures and techniques common to modern bioinformatics.
Coordinate building bioinformatics infrastructure to ensure easy and meaningful scientific analysis and interpretation of data.
Provide broad-based programming and analytic support for a wide variety of bioinformatic and research projects.
Install, troubleshoot and run open-source and commercial scientific software on platforms
Performs computations on research data analysis.
Perform computational analysis of, and interpret results.
Provide reports based on analysis of scientific data.
Perform sequencing and alignment of raw data, and interpret new data using larger public access datasets.
Provide interpretive analyses of data derived from different experimental platforms to generate biological meaning.
Write custom programs and algorithms to support data analyses and discovery.
Works with staff on scientific programming and experimental design.
Collaborate with scientists to design, analyze, manage and interpret all types of data. 1
Design and execute computational experiments. 2
Work with staff on planning of experiments, and data analysis for internal and collaborative projects; use bioinformatics expertise to advise and help bench scientists on experimental design and trouble-shooting. 3
Work with staff to develop specifications for new analysis; design, test and implement solutions. 4
Make recommendations to investigators about the correct computational tools for testing scientific hypotheses and reaching valid conclusions. 5
Records observations and report results at weekly laboratory meetings.
Prepare scientific reports and progress reports; assemble data to prepare tables, graphs and slides; conduct scientific and program related information searches and report results.
Provides statistical support / analysis on research data.
Utilize and adapt existing bioinformatics techniques to check for trends and patterns in the data.
Provides research / service goals in the context of the laboratory's overall mission.
Participate in research design with investigators for determining best practices pertaining to the bioinformatics analysis in new and ongoing projects.
Evaluates new types of experimental approaches to protocols based on knowledge of scientific literature, available facilities and research needs.
Analyze and evaluate data cleaning and harmonization needs in the using a variety of descriptive statistics and analytic methods.
Independently coordinates the training of personnel in the use of scientific software applications, statistical software applications and programmatic software applications.
Provide training in and technical support (including product updates and version control) for programs, algorithms, archives, and pipelines generated during the course of this work.
Initiates interdisciplinary collaborations with other research centers.
Work with staff, collaborate with outside researchers, and contribute to positive overall teamwork; teach Bioinformatics principles and methodologies.
Deliver at least one presentation per year to audiences outside the Government.
Present analysis results at research conferences and meetings.
1, 2, 3, 4, 5 represents priority rankings, where 1 is highest priority and 5 is lowest priority of those ranked
ACI is seeking a highly ambitious, adaptable, structured, and detail-oriented Data Scientist to join our vibrant team in Bethesda, MD.
Overall Position Summary and Objectives
Work Details:
- Provides programming and troubleshooting support to the Federal Government in the dissemination of research data.
- Generate and optimize programs and scripts for the analysis of data; create programs and algorithms and develop computational infrastructure resources for organizing and parsing data from large and complex data.
- Serve as bioinformatics expert and coordinate with teams of biologists to conduct experimental queries and/or perform portions of studies using complex procedures and techniques common to modern bioinformatics.
- Coordinate building bioinformatics infrastructure to ensure easy and meaningful scientific analysis and interpretation of data.
- Provide broad-based programming and analytic support for a wide variety of bioinformatic and research projects.
- Install, troubleshoot and run open-source and commercial scientific software on platforms
- Performs computations on research data analysis.
- Perform computational analysis of, and interpret results.
- Provide reports based on analysis of scientific data.
- Perform sequencing and alignment of raw data, and interpret new data using larger public access datasets.
- Provide interpretive analyses of data derived from different experimental platforms to generate biological meaning.
- Write custom programs and algorithms to support data analyses and discovery.
- Works with staff on scientific programming and experimental design.
- Collaborate with scientists to design, analyze, manage and interpret all types of data. 1
- Design and execute computational experiments. 2
- Work with staff on planning of experiments, and data analysis for internal and collaborative projects; use bioinformatics expertise to advise and help bench scientists on experimental design and trouble-shooting. 3
- Work with staff to develop specifications for new analysis; design, test and implement solutions. 4
- Make recommendations to investigators about the correct computational tools for testing scientific hypotheses and reaching valid conclusions. 5
- Records observations and report results at weekly laboratory meetings.
- Prepare scientific reports and progress reports; assemble data to prepare tables, graphs and slides; conduct scientific and program related information searches and report results.
- Provides statistical support / analysis on research data.
- Utilize and adapt existing bioinformatics techniques to check for trends and patterns in the data.
- Provides research / service goals in the context of the laboratory's overall mission.
- Participate in research design with investigators for determining best practices pertaining to the bioinformatics analysis in new and ongoing projects.
- Evaluates new types of experimental approaches to protocols based on knowledge of scientific literature, available facilities and research needs.
- Analyze and evaluate data cleaning and harmonization needs in the using a variety of descriptive statistics and analytic methods.
- Independently coordinates the training of personnel in the use of scientific software applications, statistical software applications and programmatic software applications.
- Provide training in and technical support (including product updates and version control) for programs, algorithms, archives, and pipelines generated during the course of this work.
- Initiates interdisciplinary collaborations with other research centers.
- Work with staff, collaborate with outside researchers, and contribute to positive overall teamwork; teach Bioinformatics principles and methodologies.
- Deliver at least one presentation per year to audiences outside the Government.
- Present analysis results at research conferences and meetings.
1, 2, 3, 4, 5 represents priority rankings, where 1 is highest priority and 5 is lowest priority of those ranked
