
Multinational biopharmaceutical company.
Sr Manager GTN Innovation
必須スキル
Python
Machine Learning
Career Category
Government Affairs
Job Description Job Description
ABOUT AMGEN
Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today.
ABOUT THE ROLE:
Role Description:
As a Senior Manager – V&A Insights, you will be responsible for leading team to develop and deploy advanced machine learning, operational research, semantic analysis, and statistical methods to uncover structure in large data sets. This role under supervision of Director Value and Access Insights creates analytics solutions to address customer needs and opportunities
Roles & Responsibilities:
- Provide oversight to a team of Managers, Business analysts, data scientists and engineers on developing and deploying AI solutions
- Assume the role of business owner and manage the Proprietary AI algorithms built to support Copay, Patient support, Gross to Net programs and other aspects of US value and access ecosystem
- Identify Opportunity areas within US commercial organizations to leverage AI/ML into driving revenue and optimization
- Cross Collaborate with US Commercial and Technology functions for expansion and continued Optimization
- Accountable to drive full lifecycle of Data Science projects delivery and ability to guide data scientists in shaping the developing solutions and act as a subject matter expert in solving development and commercial questions
- Own the end-to-end AI Product roadmap: from performance tracking and Strategic design recommendations using predictive modeling and opportunity sizing.
- Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics.
- Summarize and Present insights to Cross functional executive leadership
- Oversee a team of 8-10 Data scientists including managers and senior associates, including setting performance standards, managing their staffing, and monitoring performance
- Lead Development and integration custom applications, intelligent dashboards, and automated workflows that incorporate AI capabilities to enhance decision-making and efficiency
- Serve as the AI/ML subject matter expert within Value & Access.
Functional Skills:
- Must-Have Skills
- Foundational understanding of US pharmaceutical ecosystem and Patient support services offerings (Copay) and other standard data sets including claims, prescription
- Experience with one or more analytic software tools or languages like R and Python
- Strong foundation in machine learning algorithms and techniques
- Experience in statistical techniques and hypothesis testing, experience with regression analysis, clustering and classification
Professional Certifications
- Any AWS Developer certification (preferred)
- Any Python and ML certification (preferred)
Basic Qualifications**:**
- Master’s degree in computer science, statistics or STEM majors with a minimum of 8 years of Information Systems experience OR
- Bachelor’s degree in computer science, statistics or STEM majors with a minimum of 10 years of Information Systems experience.
- Strong understanding of US pharmaceutical ecosystem and Patient support services offerings (Copay) and other standard data sets including claims, prescription
- Experience with one or more analytic software tools or languages like R and Python
- Strong foundation in machine learning algorithms and techniques
Preferred Qualifications:
- 3-5 years of pharmaceutical or biotech industry experience, ideally with hands-on involvement in Gross-to-Net (GTN), revenue forecasting, product launches, and commercial strategy support
- Experience in leading data science projects and managing large teams
- Knowledge of NLP techniques for text analysis and sentiment analysis
- Experience in analyzing time-series data for forecasting and trend analysis
- Experience with Databricks platform for data analytics and MLOps Experience with AWS, Azure, or Google Cloud
Soft Skills:
- Initiative to explore alternate technology and approaches to solving problems.
- Skilled in breaking down problems, documenting problem statements, and estimating efforts.
- Excellent analytical and troubleshooting skills.
- Strong verbal and written communication skills
- Ability to work effectively with global, virtual teams
- High degree of initiative and self-motivation.
- Ability to manage multiple priorities successfully.
- Team-oriented, with a focus on achieving team goals
EQUAL OPPORTUNITY STATEMENT:
Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
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Amgenについて

Amgen
PublicA 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
最新情報
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1w ago
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