
Breakthroughs that change patients' lives.
Automation/MI Engineer (PCP) 15 months training programme
Use Your Power for Purpose
A career with us is about discovering breakthroughs that transform patients' lives. No matter your role, you'll be integral in bringing these therapies to people globally. You'll be at the forefront of the industry, driving it forward and making a significant positive impact. You'll find that incredible achievements are within reach, and together, we can make the impossible possible.
The Automation Engineer /MI trainee will support the development, implementation, and continuous improvement of industrial automation and digital solutions, including AI‑enabled and data‑driven systems, under the guidance of supervisor and senior engineers.
The role is designed to build a strong foundation in automation engineering, digital technologies, and responsible use of Generative AI, while operating within defined safety, quality, and regulatory frameworks.
What You Will Achieve
In this role, you will:
- Be trained on Good Manufacturing Practices and adherence on consistent safe work practices
- Participate in training programs and knowledge-sharing sessions to be equipped with technical knowledge
- Be exposed to various Automation/Digital MES systems and have sound working knowledge
- Assist in exploring use cases for AI and analytics in Automation
- Learn fundamentals of data flow, access controls, and system security in automated environments.
- Support ongoing changes, maintenance and optimization of Automation/Digital MES systems.
- Support preparation and periodic review of technical documentation
- Identify opportunities for improvements, standardization and digitalization.
- Qualification and testing of changes in Automation logic, systems, and equipment.
- Contribute to project milestones, learn and apply basic team effectiveness skills within the team.
- Be empowered to make decisions to resolve basic problems with limited options and decision-making authority, under supervisor's direction.
Here Is What You Need (Minimum Requirements)
- Bachelor's degree with 3-5 years of experience
- Basic understanding of control systems concepts (PCS, PLC)
- Experience, curiosity and openness to working with common AI tools, including generative technologies to support problem solving and enhance productivity.
- Demonstrated leadership and organizational skills to meet project task deadlines effectively
- Demonstrated communication and interpersonal skills
- Experience with automated systems and equipment
- Knowledge of Good Manufacturing Practices
Bonus Points If You Have (Preferred Requirements):
- Experience in pharmaceutical industry engineering
- Familiarity with Preventive Maintenance Procedures for process control systems
- Ability to monitor issues and develop preventative solutions
- Experience with manufacturing information systems
- Sound judgment and decision-making skills
Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.
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Pfizerについて

Pfizer
PublicPfizer Inc. is an American multinational pharmaceutical and biotechnology corporation headquartered at The Spiral in Manhattan, New York City. Founded in 1849 in New York by German entrepreneurs Charles Pfizer (1824–1906) and Charles F.
10,001+
従業員数
New York City
本社所在地
$280B
企業価値
レビュー
10件のレビュー
4.0
10件のレビュー
ワークライフバランス
3.2
報酬
4.3
企業文化
4.1
キャリア
3.4
経営陣
3.5
72%
知人への推奨率
良い点
Good salary and competitive compensation
Supportive management and team collaboration
Innovative and interesting projects
改善点
High workload and overwhelming demands
Long hours and fast-paced environment
Limited career advancement opportunities
給与レンジ
11件のデータ
Junior/L3
Mid/L4
Senior/L5
L3
Junior/L3 · SENIOR ASSOCIATE SCIENTIST
1件のレポート
$86,450
年収総額
基本給
$66,500
ストック
-
ボーナス
-
$86,450
$86,450
面接レビュー
レビュー4件
難易度
3.0
/ 5
期間
14-28週間
面接プロセス
1
Application Review
2
HR Screen
3
HireVue Video Interview
4
Hiring Manager Interview
5
Final Interview/Panel
6
Offer Decision
よくある質問
Behavioral/STAR
Past Experience
Culture Fit
Technical Knowledge
Case Study
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