トレンド企業

Amgen
Amgen

Multinational biopharmaceutical company.

Senior Associate - RWE Innovation Programming

職種オペレーション
経験シニア級
勤務地Hyderabad, India
勤務オンサイト
雇用正社員
掲載2ヶ月前
応募する

必須スキル

Machine Learning

Career Category

Clinical

Job Description

Join Amgen’s Mission of Serving Patients

At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do.

The Center for Observational Research (CfOR) generates real-world evidence to support Amgen’s medicines throughout their lifecycle. The newly formed Programming Innovations Team builds on that foundation—developing, implementing, and maintaining programming solutions, tools, and processes that improve efficiency, quality, and scalability across CfOR.

As a Senior Programmer on the Programming Innovations Team, you will play a key role in identifying opportunities for improvement, designing and delivering solutions, and fostering innovation that accelerates real-world data (RWD) analytics across Amgen.

NOTE: THIS ROLE DIFFERS FROM A TRADITIONAL STATISTICAL PROGRAMMING POSITION.

This position will focus on developing programming efficiencies, automation solutions, and innovative tools that enhance productivity and scalability across programming teams. This position is ideal for candidates who enjoy building systems and optimizing workflows—not for those primarily seeking to perform statistical analysis or data manipulation work.

What you will do

Let’s do this. Let’s change the world. In this role, you will:

  • Design, build, and maintain programming solutions and tools that improve efficiency and quality across CfOR’s programming ecosystem.
  • Contribute to the full solution development lifecycle—from requirements gathering and design through testing, deployment, and maintenance.
  • Collaborate with programming teams across CfOR to identify process gaps and prototype scalable solutions using modern programming practices.
  • Support federated innovation—integrating ideas and code contributions from other programming teams into unified, CfOR-wide solutions.
  • Automate repeatable programming tasks and establish standards for modular, reusable code.
  • Leverage AI and machine learning capabilities, including developing and deploying AI agents or copilots, to optimize programming workflows and knowledge sharing.
  • Create and maintain clear, version-controlled documentation, training materials, and user guides to enable sustainable adoption of new tools.
  • Participate in ongoing evaluation and enhancement of tools, ensuring continued performance, security, and relevance.
  • Collaborate with cross-functional partners to align innovations with business needs and technical standards.

What we expect of you

We are all different, yet we all use our unique contributions to serve patients. This individual contributor programming role will collaborate with teams across multiple time zones to fulfill requests, clarify requirements, escalate issues, and deliver high-quality results.

What we seek in you as a professional are these qualifications and competencies:

Qualifications:

Basic Qualifications:

  • Bachelor’s degree in Computer Science, Statistics, Mathematics, Life Sciences, or related field.
  • At least four (4) years of relevant experience in statistical programming, data engineering, or software development in a life sciences or research setting.
  • Proficiency in SAS and/or R, with additional experience in SQL and Python.

Preferred Qualifications:

  • Master’s degree in Computer Science, Statistics, Data Science, or related field.
  • Experience developing or maintaining solutions through a structured software development lifecycle (SDLC).

Experience:

  • Working with real-world healthcare data (RWD) such as healthcare claims (e.g., Market Scan, Optum Clinformatics, Medicare) and EHR databases (e.g., OptumEHR Pan Ther, Flatiron, CPRD, MDV)
  • Working knowledge of common data model standardization frameworks (e.g., CDISC).
  • Working knowledge of version control (e.g., Git) and collaborative coding practices.
  • Familiarity with AI and machine learning frameworks (e.g., OpenAI API, or custom model training).
  • Building or implementing AI-driven programming assistants, copilots, or agents for workflow optimization.
  • Working knowledge of Agile project management and collaborative development environments.

Competencies:

  • Strong programming (e.g., SAS, R, SQL, Python) and analytic skills
  • Innovation and problem solving
  • Strong documentation and communication skills
  • Collaboration and teamwork across functions
  • Organization and follow-through in structured projects
  • AI and automation mindset
  • Learning agility and curiosity

What you can expect from us

As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way.

In addition to a competitive base salary, Amgen offers comprehensive Total Rewards plans aligned with industry standards.

Join us. Together, we’ll transform how we program, discover, and deliver the next generation of evidence.

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Amgenについて

Amgen

Amgen

Public

A biotechnology company that develops and manufactures human therapeutics for various illnesses and diseases.

10,001+

従業員数

Thousand Oaks

本社所在地

$138B

企業価値

レビュー

24件のレビュー

3.6

24件のレビュー

ワークライフバランス

3.2

報酬

3.5

企業文化

3.1

キャリア

2.8

経営陣

3.4

65%

知人への推奨率

良い点

Excellent benefits and health benefits

Good pay and compensation

Supportive management and leadership

改善点

Limited career growth and promotion opportunities

Work-life balance challenges and long hours

Bureaucratic processes

給与レンジ

1,002件のデータ

Junior/L3

L2

L6

Mid/L4

Senior/L5

Director

L3

L4

L5

Junior/L3 · Associate Fuel Operations

2件のレポート

$99,200

年収総額

基本給

$80,652

ストック

-

ボーナス

-

$99,200

$99,200

面接レビュー

レビュー5件

難易度

3.0

/ 5

期間

14-28週間

内定率

40%

体験

ポジティブ 20%

普通 80%

ネガティブ 0%

面接プロセス

1

Application Review

2

Recruiter Screen

3

Hiring Manager Interview

4

Technical/Case Interview

5

Final Round/Panel Interview

6

Offer

よくある質問

Technical Knowledge

Behavioral/STAR

Past Experience

Case Study

Culture Fit