Senior Associate, Statistician

SaveLIFE Foundation

SaveLIFE Foundation

Delhi, India · Delhi, India
Posted on Jan 6, 2025

Are you passionate about making a positive impact on road safety? Do you thrive in a collaborative team environment built on mutual respect and integrity? Are you an experienced Statistician/Mathematician with a passion for saving lives across the country? If so, we have an exciting opportunity for you to join our team at SaveLIFE Foundation.

About SaveLIFE Foundation :

SaveLIFE Foundation (SLF) is on a mission to save lives on roads across India. Since 2012, over 1.5 million people have been killed in road crashes in India and close to 5 million have been left seriously injured or permanently disabled. Besides the insurmountable emotional trauma that thousands of families must suffer each year, road crashes deal a crushing economic blow to many families.

SLF is a fast-growing, specialised organisation with a proven track record of delivering large-scale impact. We are best known for getting India its Good Samaritan Law and developing the “Zero-Fatality Corridor” solution to transform dangerous highways into “safe ways”. We are registered as a not-for-profit organisation to ensure complete mission alignment.

Our teams work in a creative environment to build novel solutions and thrive on problem-solving. Over the last 15 years, we have built unique strengths in areas such as forensic investigation of crashes, data analytics and predictive modelling, safety design and engineering, public policy formulation, and strategic communication and training. We strive for excellence in everything we do and build leaders through opportunity and mentorship.

We are seeking an accomplished Senior Associate, Statistician to join our organization dedicated to advancing road safety initiatives. The selected candidate will leverage sophisticated statistical methodologies and mathematical modeling techniques to analyze complex datasets, develop robust predictive models, and generate evidence-based insights that inform strategic interventions for reducing road traffic incidents and enhancing public safety outcomes.

Role and Responsibilities

The position requires expertise in translating intricate data patterns into actionable solutions, contributing directly to our mission of creating safer transportation ecosystems through data-driven decision-making.

Your responsibilities include

I. Data Analysis & Interpretation

Collaborate with field/Various teams to design and implement data collection strategies (surveys, traffic monitoring, accident reporting).

Produce clear, concise reports summarizing key findings from data analysis, with actionable insights.

Develop dashboards or data visualizations to communicate trends and patterns in road traffic accidents and safety-related data.

Analyze raw traffic data, accident reports, and other related datasets to identify trends, patterns, and key risk factors.

II. Mathematical Modeling and Optimization:

Develop mathematical and statistical models to understand traffic behavior, accident risks, and optimal road safety measures.

Use optimization techniques to recommend cost-effective safety solutions.

III. Statistical Reporting and Data Visualization:

Apply statistical tools (e.g., regression analysis, hypothesis testing, time series analysis) to derive actionable insights from traffic safety data.

Generate evaluation reports on the effectiveness of road safety programs, comparing pre- and post-intervention accident data.

Assess the long-term impact of safety measures through statistical analysis.

IV. Impact Evaluation Reports:

Conduct rigorous analysis of the impact of road safety interventions, such as public awareness campaigns or traffic flow changes, using pre- and post-intervention data.

Provide insights on the effectiveness of road safety programs and suggest adjustments or new strategies.

V. Continuous Learning and Development:

Stay updated on the latest research, techniques, and tools in statistical analysis, mathematical modeling, and road safety.

Participate in relevant workshops, training, or conferences to enhance professional skills and contribute innovative solutions to the team.

Professional Experience

  • Postgraduate degree in Mathematics (Honours) or a related field.
  • Minimum of 3 years of experience in mathematical analysis, data interpretation, and statistical modeling, preferably in a research, NGO, or public safety context.
  • Proficiency in statistical software (e.g., R, SPSS, MATLAB, SAS).
  • Strong knowledge of mathematical modeling, optimization, and predictive analytics.
  • Experience in data visualization and report writing.
  • Ability to communicate complex mathematical and statistical concepts to non-technical stakeholders.
  • Strong attention to detail and analytical thinking.

Personal Characteristics

Experience in road safety, transportation, or public health data analysis.

Ability to work independently and in a collaborative team environment.

Strong problem-solving skills and a proactive approach to challenges.

How to Apply: Interested candidates can apply for this position by clicking on the following link https://forms.gle/obWbNEWUG3U7Ndv27