Data Manager, Lead

Job Locations US-MD-Frederick
# of Openings
1
Category
NIAID
Type
Regular Full-Time
Min
USD $117,000.00/Yr.
Max
USD $125,000.00/Yr.

Overview

We are seeking a Lead Data Manager to support the National Institutes of Health’s (NIH), world renowned National Institute of Allergy and Infectious Diseases (NIAID) in Frederick, MD. Our NIAID professional, technical, and scientific support personnel are part of a preeminent team focused on positively impacting millions of lives around the world with groundbreaking research. Candidates will work at a prominent and vibrant NIAID worksite to directly support exciting ongoing research activities as a contractor team member. Accelerate your career and apply below to help us make a difference.

 

CAMRIS International is a dynamic clinical research and international development firm that achieves innovative solutions to health and development challenges through high-quality, cost-effective programs and research management services. We combine our proven systems with today’s most effective, evidence-based best practices. Our core practice areas include: clinical research; vaccine research, microbiology and infectious disease research, development and production; biodefense; global health security; and HIV/AIDS programs. 

 

Our employees enjoy a collegial environment where individual contributions matter at all levels. At CAMRIS, you will notably improve the lives of people at home and abroad.  

Responsibilities

  • Provide coordination and oversight of the Integrated Research Facility-Frederick (IRF) data management practices, in support of the complete research data life cycle and in alignment with the IRF data management strategic plan.
  • Provide integrated strategy that includes workflows for the collection, annotation, structure, storage and dissemination of research data; is responsible for day-to-day data management, including: custody, use, care, and safekeeping of data and the information systems containing and pertaining to research, regulatory files, and working files; and actively participates in practices/processes to enhance data quality and integrity including periodic review of study execution to identify gaps and refine procedures.
  • Assist with developing/managing complex data systems governing the IRF research programs. Coordinates routinely with the Federal Task Leader and NIAID/NIH stakeholders to ensure IRF data system requirements are being met.
  • Establish an integrated strategy that includes workflows for the collection, annotation, structure, storage, and dissemination of research data in accordance with HHS, NIH, NIAID, and IRF requirements and needs.
  • Provide oversight of daily operation and activities for overall Data Management activities.
  • Conduct periodic routine and/or unannounced audits of data systems to monitor for compliance with relevant data management requirements and practices.
  • Draft reports of findings; propose remediation and process changes if/as needed.
  • Facilitate IRF to adopt new initiatives such as data sharing, electronic lab notebooks, and multifactor authentication in a BSL-4 environment.
  • Performs other duties as assigned.

Qualifications

  • Minimum of Bachelor’s degree from an accredited college or university in the field of science and/or IT/Data Management field with 10 years’ experience.
  • Previous experience with NIH data management requirements is required.
  • Previous experience with IRF data management system(s) preferred.
  • Ability to pass and maintain a 5b (Public Trust) level background investigation.
  • Must be able to work both independently and in a team environment.

Physical Requirements:

 

The physical requirements described here are representative of those that must be met by a candidate to perform the essential functions of this job. Reasonable accommodations may be provided to enable individuals with disabilities to perform essential job functions.

  • Ability to lift or carry less than 25 pounds, lift or carry 25- 50 pounds, push or pull less than 25 pounds, push or pull 25 – 45 pounds, push or pull more than 45 pounds, reach above shoulder level, and use both hands.
  • Must be able to stand or walk more than 25 of 30 min., bend repeatedly, kneel, crawl, and climb.
  • Must have depth perception, have correctable near vision, ability to distinguish basic colors, and perform repetitive activities.
  • Ability to work closely with others on slippery or uneven working surfaces, on ladders or scaffolding and work with solvents.

Please submit your resume online at www.CAMRIS.com. CAMRIS is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran status, disability status, or any other characteristic protected by any applicable federal, state, or local law.

 

CAMRIS offers a comprehensive benefits package, including medical, dental, and vision insurance for individuals and families, FSAs, HSA, life and AD&D insurance, short- and long-term disability, legal services, voluntary hospital indemnity, critical illness and accident insurances, EAP, pet insurance, 401(k) with employer match and Roth option, tuition and professional reimbursement, public transportation support in the DMV area, a referral bonus program, vacation with tenure-based increases, PTO, 11 paid holidays, paid bonding leave, and paid supplemental short-term disability.

 

Employment is contingent upon successful completion of a Public Trust-level background check, a requirement for this position under an active federal contract. The background check process may include, but is not limited to the following: (1) contacting your professional references; (2) verification of previous employment, education and credentials; (3) a criminal background check; (4) use/abuse of federally-controlled substances; and (5) a department of motor vehicle check. Candidates must be prepared to fully-complete any required background check questionnaire during initial onboarding.

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