Technical Project Manager

Job ID: req2615
Employee Type: exempt full-time
Division: Biomedical Informatics & Data Science
Facility: Telework: US
Location: 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 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 Strategic and Data Sciences Initiatives (SDSI) group in BIDS works collaboratively to accelerate cancer research with a focus on building effective use of innovative data and scalable computing and guiding development of future computational infrastructure and workforce capabilities needed to address key cancer research challenges including predicting treatment outcome, addressing bias in data and applications, and shortening the time it takes for new treatments to be developed. The group's efforts leverage some of the largest computers in the world and advanced techniques like machine learning and artificial intelligence to create insights that can be applied at local cancer treatment centers to improve quality of life and improved outcomes for all cancer patients. A key focus of this group is to provide secure and robust data management and data modeling platforms and services for scientific data in accordance with FAIR data principles (Findability, Accessibility, Interoperability, and Reusability) supporting an increasing depth of scientific insight for the ever-expanding collection of scientific datasets.

KEY ROLES/RESPONSIBILITIES

• Support collaborative activities, including project management and project coordination, required for the aims of the scientific goals of JDACS4C Project 3 (Population Information, Integration Analysis and Modeling)
• Work with the NCI-DOE team to identify goals, tasks, dependencies, action items, risks, and risk mitigations
• Provide logistical support through scheduling, facilitation, and participation in meetings to support collaborative activities with the NCI and DOE labs
• Collaborate and coordinate with project stakeholders which includes the NCI, DOE, Information Management Systems Inc (IMS), four central cancer registries, and clinical experts
• Coordinate with JDACS4C partners to facilitate across-project collaboration and support for broader JDACS4C goals
• Coordinate to provide monthly written technical status reports describing in detail the activities performed each month in support of JDACS4C Project 3

BASIC QUALIFICATIONS

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

• Possession of Master's degree from an accredited college/university according to the Council for Higher Education Accreditation (CHEA) or six (6) 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 two (2) years of progressively responsible experience
• Two (2) years of experience in Technical Project Management
• Experience with data management or engineering and coordination (eg, packaging and transferring of data; versioning; mapping and transforming data or file types, formats)
• Experience with assessing scientific goals to inform:
• Technical needs, features, and requirements
• Development of technical protocols for assessing the performance of NLP algorithms under different use cases, including experience with writing of protocols
• Assessment of software products, including experience with evaluating utility and functionality of software
• Experience with Management of complex and multi-prong projects
• Experience with Management and coordination of large teams across organizations and stakeholder groups
• Ability to obtain and maintain a security clearance

PREFERRED QUALIFICATIONS

Candidates with these desired skills will be given preferential consideration:

• Ability to oversee integration of various data types, in particular biomedical and clinical data such as images, treatment information, biomarkers and ability to understand the technical challenges associated with receipt and storage of these heterogeneous data
• Knowledge of Data Science or Analytics (experience with Python, R, or other languages along with machine learning experience)
• Knowledge of Data and programming standards
• Experience with Participating/managing research efforts

EXPECTED COMPETENCIES

• Ability to interpret technical language for a non-technical audience and distill technical requirements from non-technical stakeholders
• Ability to work with ease in a fast paced, agile environment
• Self-motivated and result-oriented, able to handle multiple simultaneous projects efficiently
• Excellent communication and interpersonal skills

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

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