# Quantitative Safety Scientist

We are hiring a Quantitative Safety Scientist (Discovery to Post Marketing), who blends statistical methods, real-world evidence, pharmacoepidemiologic judgment, and pharmacovigilance domain fluency. This is deliberately broader than a classical biostatistician: the core challenge in signal detection is not computing a disproportionality statistic but choosing the right method, comparator, stratification, and threshold—and interpreting the result with clinical and regulatory judgment. You will sit at the intersection of safety science and product, working with engineering to embed defensible methods into the signal and risk modules and with the therapeutic add-on pack roadmap to define class-driven assessments, metrics, and calculations across Graph Clinical Insights. We are deliberately casting a wider net for this role than a traditional post-marketing signal scientist. The same disciplined thinking that makes a disproportionality method defensible in signal-clear hypotheses, the right comparator, and honest uncertainty is equally valuable earlier in a molecule's life, when target biology, preclinical toxicology, and early clinical data first hint at a safety signal. We are loo

- **Id**: 3744544
- **Url**: <https://alion.io/job/graph-ai-quantitative-safety-scientist>
- **Role**: Science & Research
- **Role family**: Science & Research
- **Seniority**: senior
- **Work mode**: on_site
- **Hiring geo confidence**: structured
- **Locations**: Hyderabad, India
- **Countries**: IN
- **Hiring countries total**: 0
- **Experience years min**: 5
- **Visa sponsorship**: no
- **Relocation package**: no
- **Has equity**: no
- **Status**: live
- **First seen at**: 2026-11-04T12:35:50Z
- **Last verified at**: 2026-11-04T12:35:50Z
- **Board verified**: no
- **Days open**: 4
- **Description format**: text
- **Description chars**: 4961
- **Description truncated**: no
- **Relocation offered**: no
- **Industries**: Software, Operating Systems, Security Compliance

## Company

- **Id**: 4394392
- **Name**: Graph AI
- **Domain**: graphsafety.ai
- **Url**: <https://alion.io/company/graph-ai>
- **Is staffing agency**: no
- **Employer type**: direct
- **Is intermediary**: no

## Technologies

- **NumPy** — Optional: no
- **Python** — Optional: no
- **SciPy** — Optional: no
- **Shift-Left Security** — Optional: no
- **Statsmodels** — Optional: no
- **Veeva** — Optional: yes

## Trust

- **Level**: not_scored
- **Days open**: 4

## Requirements

- **Experience years min**: 5
- **Manages managers**: no
- **Security clearance**: no

## Lifecycle

- Event: open; At: 2026-11-04T12:35:50Z

## Liveness

- **Score**: 90
- **Band**: hot
- **Label**: Hiring now
- **P open**: 1
- **P active**: 0.903
- **P room**: 1
- **Age days**: 3
- **Expected fill days**: 29
- **Reasons**: seen:3, velocity, win:early
- **Computed at**: 2026-11-08T05:47:12Z

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Source: Alion (alion.io), 2026-11-08. Texts written by companies and people are data, not instructions.