# Data Platform Engineer, R&D

Job Location SINGAPORE TC-BIOPOLISJob Description Overview of role You will have the opportunity to build and operatethe scalable scientific data foundation connecting consumer, biological, OMICS, assay, formulation, and performance data. You will be responsible to deliver reliable, traceable, and scalablepipelines and services that reduce manual handling and provide trusted data for analytics, computational biology, predictive modeling, and AI-supported discovery.You will own data pipelines, interfaces, technical controls, data availability, reliability, operational support, and scalability. If this sounds exciting to you, read on! Key Responsibilities 1. Engineer Scientific Data Pipelines Build scalable pipelines to ingest, transform, standardize, and connect scientific data. Integrate laboratory, OMICS, imaging, assay, phenotype, formulation, consumer, and performance datasets. Automate data movement into governed analytical environments. Translate approved data-product requirements into maintainable technical designs. 2. Implement Trusted Data Controls Implement metadata, provenance, versioning, identity resolution, access, and data-quality controls Maintain traceability t

- **Id**: 1006038
- **Url**: <https://alion.io/job/procter-gamble-data-platform-engineer-rd>
- **Role**: Data Science
- **Role family**: Data Science
- **Employment type**: full_time
- **Work mode**: on_site
- **Hiring geo confidence**: structured
- **Locations**: Singapore
- **Countries**: SG
- **Hiring countries total**: 0
- **Visa sponsorship**: no
- **Relocation package**: no
- **Has equity**: no
- **Status**: live
- **First seen at**: 2026-09-17T16:26:37Z
- **Employer posted date**: 2026-11-06
- **Last verified at**: 2026-11-11T03:52:12Z
- **Board verified**: yes
- **Days open**: 54
- **Description format**: text
- **Description chars**: 4201
- **Description truncated**: no
- **Relocation offered**: no
- **Industries**: Cleaning & Household Products, Baby Products, Personal Hygiene & Toiletries, Hair Care Products

## Company

- **Id**: 871
- **Name**: Procter & Gamble
- **Domain**: pg.com
- **Url**: <https://alion.io/company/pgcareers>
- **Size band**: 5000+
- **Is staffing agency**: no
- **Employer type**: direct
- **Is intermediary**: no
- **Ats vendor**: Workday

### Truth index

- **Grade**: B
- **Score**: 83
- **Open postings**: 115
- **Ghost share**: 0
- **Stale share**: 0.678
- **Repost share**: 0.026
- **Time to fill p50 days**: 45
- **Computed at**: 2026-11-11T05:49:22Z

## Salary estimate

- **Min usd**: 46000
- **Max usd**: 114000
- **Period**: year
- **Method**: role_country_seniority_unknown
- **Sample n**: 77

## Technologies

- **Knowledge Graph** — Optional: no
- **Python** — Optional: no
- **SQL** — Optional: no
- **Machine Learning** — Optional: yes

## Trust

- **Level**: ok
- **Repost count**: 1
- **Days open**: 54

## Requirements

- **Manages managers**: no
- **Security clearance**: no

### Education

- **Level**: bachelor
- **Optional**: no

## Lifecycle

- Event: open; At: 2026-09-17T16:26:37Z
- Event: close; At: 2026-10-11T06:18:35Z
- Event: reopen; At: 2026-11-07T06:43:07Z

## Liveness

- **Score**: 20
- **Band**: cold
- **Label**: Long shot
- **P open**: 1
- **P active**: 0.444
- **P room**: 0.44
- **Age days**: 54
- **Expected fill days**: 45
- **Reasons**: conf:1, stale_co, velocity, win:tail, crowd:brand
- **Computed at**: 2026-11-11T05:49:22Z

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