Statistician

Think Tank, Inc.; Washington (District of Columbia); On-site; USD 120,000 - 160,000; Full time

Job summary

Think Tank, Inc. seeks a senior statistician to analyze spatial and temporal patterns in salmon migration data and guide management decisions for river systems affected by hydropower. You will build probabilistic models, support study design, and share reproducible workflows.

Requirements include a PhD with strong quantitative background and 10+ years of relevant experience; Bayesian methods and mark-recapture knowledge are highly preferred. Field data collection may be required.

Qualifications

• PhD in statistics, mathematics, fisheries, ecology or related field.
• 10+ years of experience in statistics and data analysis for ecological systems.
• Experience with Bayesian statistics and mark-recapture methods preferred.

Responsibilities

• All analyses with accepted methods and QA/QC.
• Develop reproducible workflows; share scripts on open-science platforms.
• Publish papers and reports; present at meetings and conferences.
• Assist field data collection as needed.

Skills

Statistics

Probability

Bayesian statistics

Data analysis

Education

PhD in statistics, mathematics, fisheries, ecology or related

Advanced degree substitution for experience (MS/PhD years)

Tools

R

Python

GitHub

Stan / Bayesian tools

Job description

Job Description

Job Description

• *Position is Subject to Contract Award

POSITION DESCRIPTION:Description of Duties:

Provide statistical analysis to inform management decisions. Statistically analyze spatial and temporal variability in processes experienced by migrating salmon in river systems, especially survival and migration patterns through hydropower systems and across life cycles. Analyze and generate relationships between fish responses (density, growth, survival, migration rate) and stressors in particular life stages. Develop novel probabilistic mathematical and simulation models representing complex ecological and behavioral processes with modern statistical methods. Provide statistical support to other researchers during study design and analysis; organize and curate ecological datasets relevant to mark-recapture modeling. Document and share reproducible workflows and analytical protocols; publish reports and scientific papers and present at regional/national meetings and conferences. Assist with field collection of fish and environmental data as needed (may involve riding in vehicles and/or boats).

EDUCATION & EXPERIENCE:

Required:Education: PhD from an accredited college/university with a major related to the task order, with emphasis in statistics, mathematics, fisheries, ecology, or the natural sciences. Must have a strong quantitative background with a solid foundation and extensive coursework in statistics and probability. Experience: Ten (10) or more years of experience related to the task order, including familiarity with the species and habitats managed by NOAA Fisheries in the West Coast region. Desired:Knowledge and experience in Bayesian statistics and mark-recapture methods is strongly preferred. Advanced degree in a related field - may substitute for two (MS) or four (PhD) years of experience

CERTIFICATIONS:

Required:Valid U.S. driver's license - required and maintained throughout the period of performance. Public trust suitability; background investigation cleared prior to beginning performance. Government-required training to be completed within 5 business days of start: NOAA IT Security, NOAA Safety, Sexual Assault/Sexual Harassment Prevention & Response (NAM (b)(6)), and Records Management 101.

RESPONSIBILITIES:Required (Deliverables):

All analyses conducted with accepted methods and QA/QC. Reproducible analytical workflows documented; statistical scripts and methodologies shared via open-science platforms (e.g., GitHub). Analysis products archived accessibly; final data and models shared via public scientific repositories or interactive research dashboards. Published scientific papers and reports; regular communication with team members. Written status reports and other ad hoc communications; participation in field tasks as needed.

SKILLS: