トレンド企業

Amgen
Amgen

Multinational biopharmaceutical company.

Senior Scientist – Research Computational Biology Platforms (ARIA)

職種機械学習
経験シニア級
勤務地US - California - South San Francisco; US - Massachusetts - Boston; US - California - Thousand Oaks
勤務オンサイト
雇用正社員
掲載3週間前
応募する

Career Category

Research

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.

Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.

Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.

Senior Scientist – Research Computational Biology Platforms (ARIA)

What you will do

Let’s do this. Let’s change the world. The ARIA Computational Biology team is seeking a talented and creative computational biologist to further our mission of serving patients by advancing and replenishing the Amgen therapeutic pipeline. In this vital role, you will apply your expertise in data science and mechanistic disease biology to develop innovative methods and platforms that accelerate the identification, prioritization, and validation of transformative therapeutic targets within a dynamic, cross-functional research environment.

Focus areas include:

  • Developing and applying methods and platforms to discover, prioritize, and validate targets across a broad range of diseases and therapeutic modalities.
  • Designing and building a Precision Targeting Engine that integrates internal and high-value public data into an automated, scalable framework with custom expression analytics across diverse data types and disease areas.
  • Contributing to the design and evolution of Amgen’s preclinical omics data ecosystem in partnership with the Research Informatics team.
  • Evaluating and integrating emerging AI/ML technologies (e.g., biological foundation models), and developing custom research agents to accelerate early pipeline efforts.
  • Partnering with data science and information systems teams to embed tools and analyses developed within ARIA Computational Biology into integrated R&D platforms.
  • Training and mentoring other scientists in the use of advanced research tools and platforms.

What we expect of you

We are all different, yet we all use our unique contributions to serve patients. The dynamic professional we seek is a scientist with these qualifications.

Basic Qualifications:

PhD in computational biology, bioinformatics, data science, or a related discipline and relevant post-doc where applicable

OR

Master’s degree in computational biology, bioinformatics, data science, or a related discipline and 3 years of relevant research experience

OR

Bachelor’s degree in computational biology, bioinformatics, data science, or a related discipline and 5 years of relevant research experience

Preferred Qualifications:

  • Strong programming expertise in Python and R, with proficiency in Linux/Unix environments, cloud computing, HPC, and collaborative development practices (e.g., Git).
  • Experience developing complex computational tools and visualizations that translate biological insights into actionable strategies.
  • Experience developing and deploying computational tools and pipelines, including use of workflow management systems (e.g., Nextflow), CI/CD practices, and interactive visualization tools (e.g., Shiny/Streamlit).
  • Strong background in molecular and systems biology.
  • Demonstrated expertise in the analysis and interpretation of single-cell omics data.
  • Experience leveraging and fine-tuning transcriptional foundation models, large language models (LLMs), and biomedical knowledge graphs to advance research objectives.
  • Familiarity with high-value public data resources (e.g., Dep Map, Human Cell Atlas, TCGA, GTEx, and Tahoe-100M) used to complement and enhance analyses of internal datasets.
  • Excellent communication and presentation skills, with the ability to convey complex concepts to diverse audiences.
  • Self-motivated, collaborative, and committed to continuous learning and growth.

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.

The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and qualifications.

In addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities that may include:

  • A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts
  • A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
  • Stock-based long-term incentives
  • Award-winning time-off plans
  • Flexible work models where possible. Refer to the Work Location Type in the job posting to see if this applies.

Apply now and make a lasting impact with the Amgen team.

careers.amgen.com

In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

Application deadline

Amgen does not have an application deadline for this position; we will continue accepting applications until we receive a sufficient number or select a candidate for the position.

Sponsorship

Sponsorship for this role is not guaranteed.

As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.

Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.

We will ensure that individuals with disabilities are provided 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. 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.

Amgen will consider for employment qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chance Ordinance.

Salary Range

153,708.00 USD - 183,270.00 USD

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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

M3

M4

M5

M6

Mid/L4

Senior/L5

Staff/L6

L3

L4

L5

Junior/L3 · Associate Data Analytics

2件のレポート

$104,000

年収総額

基本給

$80,317

ストック

-

ボーナス

-

$98,800

$124,000

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