Bioinformatics Manager

Job ID: req2612
Employee Type: exempt full-time
Division: Biomedical Informatics & Data 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 DESCIRPTION

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.

The Advanced Biomedical Computing Sciences (ABCS), part of BIDS, provides scientific computing, modeling, imaging, and bioinformatics support, engages in scientific consultation and collaboration, and offers training to NCI and NIH scientists and staff. The Data Solutions and Systems Biology (DSSB) group in ABCS strives to streamline and provide innovative solutions for the NCI/NIH community to access and use biological information collected across different sources and formats. Integrating diverse data sources to streamline project requests and analysis workflows, enable disease agnostic access and analysis, variant impact annotation, identifier conversions across species, and merging clinical and research data enabling translation from basic to the goal of precision medicine.

KEY ROLES/RESPONSIBILITIES

This position provides leadership and support for the Advanced Biomedical Computational Science biomedical image analysis initiatives. Specific responsibilities include the following:

• Work as part of a dynamic team to provide general project management and reporting support across ABCS scientific projects
• Lead development activities such as computer vision, image segmentation, image registration, image visualization, feature extraction, and statistical analysis using open-source solutions and machine learning/deep learning technologies on medical images
• Write, revise and submit scientific manuscripts on significant research findings
• Provide proactive communication about projects and staff to all relevant stakeholders
• Follow established procedures and suggest updates to enhance efficiency and effectiveness of procedures
• Be able to work independently
• Manage and supervise group members supporting the project

BASIC QUALIFICATIONS

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

• Possession of Bachelor's degree from an accredited college/university according to the Council for Higher Education Accreditation (CHEA) in computer science, Bioinformatics, Biomedical Science or a related field or four (4) years relevant experience in lieu of degree. Foreign degrees must be evaluated for U.S. equivalency
• In addition to the education requirement, a minimum of four (4) years of progressively responsible experience, including two (2) years of experience in a leadership/manager capacity
• Experience in biomedical image analysis with managerial experience supervising a biomedical imaging team
• Demonstrated ability to understand and develop machine learning/deep learning algorithms in the image processing or computer vision
• Experience with medical image formats and concepts
• Expertise with one or more common programming and scripting languages such as C/C++ and Python
• Hands on experience of Deep Learning frameworks such as Tensorflow/Keras and PyTorch
• Experience with scientific software development under Linux environments
• Experience with reporting scientific and technical accomplishments
• Experience leading successful collaborative efforts involving multiple stakeholders
• Self-motivated and results-oriented, able to effectively handle multiple projects concurrently
• Ability to multi-task in complex/dynamic operating environment
• Ability to identify issues and apply problem solving skills
• Excellent communication and interpersonal skills
• Ability to obtain and maintain a security clearance

PREFERRED QUALIFICATIONS

Candidates with these desired skills will be given preferential consideration:

• Possession of a Ph.D. in a computer science, Bioinformatics, Biomedical Science or a related field
• Experience with self-guided learning in a quickly evolving technical environment
• Hands on experience of large scale computational tasks in HPC environments
• Hands on experience of Distributed Deep Learning on GPU clusters

EXPECTED COMPETENCIES

• Must be detail-oriented and possess strong organizational and analytical skills with the ability to prioritize multiple tasks/projects
• Exceptional written and oral communication skills in order to work closely with numerous stakeholders from diverse organizations
• Ability to work with ease in a fast paced, agile environment
• Ability to multi-task in complex/dynamic operating environment
• Ability to identify issues and apply problem solving 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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