Mathematical Statistician

  • FDA, CVM
  • Rockville, MD
  • Mar 14, 2022
Full time Financial

Job Description

As a member of the Division, the Mathematical Statistician’s primary responsibility is to evaluate study protocols and review results from studies investigating the effectiveness and safety of animal therapeutic and production drugs or animal bioengineering and cellular therapies  products for indications in some of the following areas: antiparasitics, reproduction, weight control, appetite stimulation, thyroid disorders, diabetes, cardiovascular concerns (blood pressure, heart), ophthalmic, hematology, and renal/urinary disorders, immunosuppressants, control of pain, epilepsy, and for neurological, dermatological, otic,  muscular disorders.  You will also provide statistical consults for human food safety studies, toxicology studies, post-marketing studies, research projects, and other related work.  You will use statistical and mathematical methods to analyze and draw inferences from data submitted by animal drug applicants and to facilitate the Center scientists in study design development, appropriate data analysis, and data interpretation.

Due to the immensity of its charge, CVM depends upon a diverse and dedicated workforce. We recognize the importance of multi-disciplinary teamwork in reaching superior and timely regulatory decisions; therefore, we foster an atmosphere where every employee’s contribution is important. New concepts, ideas, and creative approaches to improve current operations and to meet existing and future challenges are encouraged. Our goal is to not only enable our employees to positively impact the Center today, but to prepare our workforce for the demands, responsibilities, and career opportunities of tomorrow. ONADE offers many benefits and operates in a hoteling work environment.  Hoteling is an arrangement where employees reserve non-dedicated, non-permanent workspace at the Rockville duty station on an as-needed basis and as required and telework when not at the Rockville duty station. ONADE provides the basic technology (e.g., laptop, monitors, webcam) needed to effectively work in the Rockville office and in a teleworking location. Hoteling, along with a strong telework program and strong electronic communication and workflow tools, affords employees in ONADE the flexibility to balance work/life demands while contributing to our high performing organization.

 

Education Requirements: A Ph.D. degree in Mathematics or Statistics, or a related field. For specific information on education requirements please visit the following links:

Mathematical Statistician: https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/1500/mathematical-statistics-series-1529/

Professional Experience Requirements: Applicants should have experience performing statistical analyses on biological or biomedical research problems, conducting reviews evaluating statistical methods, procedures, and concepts involved with biological or biomedical applications and advising or commenting on the adequacy of statistical research plans, protocols, methodologies, data analyses and interpretation of results.

The positions are located in Rockville, Maryland and are available immediately. The positions will be filled through FDA’s Staff Fellowship program. Appointments will be made up for up to two years with opportunities for renewal. Applicants may be required to live in, or be willing to relocate to, the greater Washington DC area. The salary range is $74,950 to $138,868 based on experience and education.

Please submit your letter of interest, resume, and transcripts to: CVMOpportunities@fda.hhs.gov with the subject line of “ONADE Mathematical Statistician Staff Fellow Positions ­­­­­­–Hire Latinos.” Questions may also be directed to the CVM Opportunities mailbox. Applications will be accepted through April 13th, 2022.

**Applications will be reviewed, and interviews will be scheduled on a first come, first serve basis. **

Occupations

Mathematical-Statistical Research