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トレンド企業

トレンド企業

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求人Amgen

Senior Associate - Value and Access Insights

Amgen

Senior Associate - Value and Access Insights

Amgen

India - Hyderabad

·

On-site

·

Full-time

·

1w ago

Career Category

Value and Access:

Job DescriptionABOUT 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.

Job Summary

The Value and Access Insights Senior associate is responsible for analytics relating to managed care/organized customers and help shape payer & IDN strategies for Value & Analytics insights organization for Retail, Specialty, Oncology and Rare disease areas. The individual will be part of a cross functional analytics team to support insights and analytics across these therapeutic areas. This role is specifically responsible for providing insights impacting payer reimbursement strategies through secondary data analytics and data integration

This position reports to the Manager, Value & Access Insights team

Amgen Job Description:

In the face of a US health care system growing more complex day-by-day, we must constantly adapt and evolve our strategies to ensure our patients have appropriate access to our medicines. The Value & Access (V&A) Insights Senior associate will play a critical role in monitoring, diagnosis and performing analytics, to address payer obstacles and challenges. In this role, you will partner with US Insights & analytics and Coverage and Pricing team to build a deep understanding of the US managed markets environment for assigned products. You will provide integrated analysis combining multiple primary and secondary data sources to uncover deep insights that will guide payer, access, and reimbursement strategies.

Responsibilities:

  • Produce and deliver regular performance dashboards based on complex data sources, including claims data, payer rebate data, DDD data and IDN affiliations data
  • Understand pharmaceutical ecosystem and data sets including medical and pharmacy claims (ex. IQVIA LAAD, Symphony Claims), prescription (ex. IQVIA NPA), outlet (ex. IQVIA DDD)
  • Provide in-depth, expertise-based oversight and delivery of managed markets analysis including product formulary position, utilization management controls, customer segmentation and control/sophistication assessment.
  • Prepare, continuously refine and present periodic reports tracking product and portfolio performance against business objectives.
  • Execute analytics plan to support payer insights from various payer datasets based on detailed understanding of related datasets i.e. Patient level claims data; Payer claims data; Formulary coverage; Specialty Pharmacy Data.
  • Perform advanced analytics including longitudinal patient level analysis, time series modeling, customer segmentation and diagnostics in support of business questions
  • Create data analytics models to generate strategic actionable business insights using SQL, Python and Microsoft Excel

Basic Qualifications:

  • Master’s degree and 1 to 3 years of computer science, statistics or STEM majors with a minimum of 1 year of Information Systems experience OR
  • Bachelor’s degree and 3 to 5 years of computer science, statistics or STEM majors with a minimum of 2 years of Information Systems experience OR
  • Diploma and 7 to 9 years of computer science, statistics or STEM majors with a minimum of 2 years of Information Systems experience

Preferred Qualifications:

  • Basic knowledge of marketing analytics in the pharmaceutical industry
  • Foundational understanding of US pharmaceutical ecosystem and Patient support services offerings (Copay) and other standard data sets including claims, prescription
  • Strong expertise in any one of the visualization tools – Tableau or Power-BI
  • Experience in database languages (e.g. SQL)
  • Ability to think strategically to support key business decisions
  • Ability to work collaboratively in team-based environment across different functional groups
  • Demonstrated analytical skills—understands the strengths and limitations of different analytical approaches and their findings
  • Skill in handling multiple responsibilities, priorities, tasks and projects simultaneously
  • High degree of analytical and problem-solving skills
  • Exhibits strong understanding of business strategies

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 an accommodation.

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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

3.6

10件のレビュー

ワークライフバランス

3.2

報酬

4.1

企業文化

3.4

キャリア

2.8

経営陣

3.5

65%

友人に勧める

良い点

Excellent benefits and health benefits

Good pay and compensation

Supportive management and strong leadership

改善点

Limited career growth and promotion opportunities

Work-life balance challenges and long hours

Bureaucratic processes

給与レンジ

1,244件のデータ

L2

L3

L4

L5

L6

L2 · Business Development L2

0件のレポート

$60,752

年収総額

基本給

$24,301

ストック

$30,376

ボーナス

$6,075

$42,526

$78,978

面接体験

5件の面接

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

HR Screen

3

Hiring Manager Interview

4

Technical/Role-Specific Interview

5

Panel Interview

6

Offer

よくある質問

Technical Knowledge

Behavioral/STAR

Past Experience

Data Analysis/Statistics

Culture Fit