Computational Scientist - Protein Modeling
January 27, 2023
Computational Scientist - Protein Modeling
Job ID: req3292
Employee Type: exempt full-time
Division: Bioinformatics and Computational Science
Facility: Frederick: Ft Detrick
Location: PO Box B, Frederick, MD 21702 USA
The Frederick National Laboratory is a Federally Funded Research and Development Center (FFRDC) sponsored by the National Cancer Institute (NCI) and operated by Leidos Biomedical Research, Inc. The lab addresses some of the most urgent and intractable problems in the biomedical sciences in cancer and AIDS, drug development and first-in-human clinical trials, applications of nanotechnology in medicine, and rapid response to emerging threats of infectious diseases.
Accountability, Compassion, Collaboration, Dedication, Integrity and Versatility; it's the FNL way.
PROGRAM DESCRIPTION
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 Bioinformatics and Computational Science (BACS) Directorate works collaboratively and helps to fulfill the mission of Frederick National Laboratory in the areas of bioinformatics and computational science by developing and applying world-leading computing technologies to basic and applied biomedical research challenges, data science, supporting critical operations, developing and delivering national data resources, and utilizing leading-edge software.
The Advanced Biomedical Computational Science (ABCS) group is a part of BACS and serves as a hub of translational scientists with expertise in machine learning applied to the interpretation of 2D and 3D biomedical images, clinical and genomics integration, computational chemistry, protein modeling, bioinformatic analysis of omics data, and other applications of computational and data science. ABCS develops state-of-the-art technologies in large-scale data modeling, analysis, and integration and supports the scientific research at the Frederick National Lab by helping translate scientific questions to technical solutions for cancer and biomedical research.
KEY ROLES/RESPONSIBILITIES:
**THIS POSITION IS CONTINGENT UPON FUNDING APPROVAL**
BASIS QUALIFICATIONS
To be considered for this position, you must minimally meet the knowledge, skills, and abilities listed below:
PREFERRED QUALIFICATIONS
Candidates with these desired skills will be given preferential consideration:
Equal Opportunity Employer (EOE) | Minority/Female/Disabled/Veteran (M/F/D/V) | Drug Free Workplace (DFW)
#readytowork
Job ID: req3292
Employee Type: exempt full-time
Division: Bioinformatics and Computational Science
Facility: Frederick: Ft Detrick
Location: PO Box B, Frederick, MD 21702 USA
The Frederick National Laboratory is a Federally Funded Research and Development Center (FFRDC) sponsored by the National Cancer Institute (NCI) and operated by Leidos Biomedical Research, Inc. The lab addresses some of the most urgent and intractable problems in the biomedical sciences in cancer and AIDS, drug development and first-in-human clinical trials, applications of nanotechnology in medicine, and rapid response to emerging threats of infectious diseases.
Accountability, Compassion, Collaboration, Dedication, Integrity and Versatility; it's the FNL way.
PROGRAM DESCRIPTION
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 Bioinformatics and Computational Science (BACS) Directorate works collaboratively and helps to fulfill the mission of Frederick National Laboratory in the areas of bioinformatics and computational science by developing and applying world-leading computing technologies to basic and applied biomedical research challenges, data science, supporting critical operations, developing and delivering national data resources, and utilizing leading-edge software.
The Advanced Biomedical Computational Science (ABCS) group is a part of BACS and serves as a hub of translational scientists with expertise in machine learning applied to the interpretation of 2D and 3D biomedical images, clinical and genomics integration, computational chemistry, protein modeling, bioinformatic analysis of omics data, and other applications of computational and data science. ABCS develops state-of-the-art technologies in large-scale data modeling, analysis, and integration and supports the scientific research at the Frederick National Lab by helping translate scientific questions to technical solutions for cancer and biomedical research.
KEY ROLES/RESPONSIBILITIES:
- Computational modeling of protein-ligand interactions using both molecular dynamics simulations and docking software
- Working effectively as a member of a team that includes non-computational scientists
- Provide clear written and oral communication about projects to all relevant stakeholders
- Assist with writing, and revising scientific manuscripts on significant research findings
- Follow established procedures and suggest updates to enhance efficiency and effectiveness of procedures
**THIS POSITION IS CONTINGENT UPON FUNDING APPROVAL**
BASIS QUALIFICATIONS
To be considered for this position, you must minimally meet the knowledge, skills, and abilities listed below:
- Possession of a Ph.D. degree in Computational Chemistry, Molecular Modeling, or a comparable field from an accredited college or university according to the Council for Higher Education Accreditation (CHEA), or at least 6 years of comparable experience. Foreign degrees must be evaluated for U.S. equivalency
- In addition to the education requirement, a minimum of two (2) years of progressively responsible experience
- Have experience in protein modeling simulations
- Ability to multi-task across projects and collaborators
- Proficiency in a programming language such as Fortran or C/C++
- Ability to learn the biology needed to properly analyze the data and answer the scientific question
- Understanding of, or the ability to learn, basic physical chemistry concepts
- Ability to obtain and maintain a security clearance
PREFERRED QUALIFICATIONS
Candidates with these desired skills will be given preferential consideration:
- Experience with self-guided learning in a quickly evolving technical environment
- Experience with docking software such as AutoDock/Vina
- Ability to develop, modify and maintain molecular dynamics and docking software for non-standard data analyses
Equal Opportunity Employer (EOE) | Minority/Female/Disabled/Veteran (M/F/D/V) | Drug Free Workplace (DFW)
#readytowork