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Data Scientist
Amgen Cambridge, MA
$122k-150k (estimate)
Full Time | Scientific Services 3 Weeks Ago
Save

Amgen is Hiring a Remote Data Scientist

HOW MIGHT YOU DEFY IMAGINATION?

You’ve worked hard to become the professional you are today and are now ready to take the next step in your career. How will you put your skills, experience and passion to work toward your goals? At Amgen, our shared mission—to serve patients—drives all that we do. It is key to our becoming one of the world’s leading biotechnology companies, reaching over 10 million patients worldwide. Come do your best work alongside other innovative, driven professionals in this meaningful role.

Data Scientist

Live

What you will do

Let’s do this! Let’s change the world!

The Digital Process and Systems Analysis group within Process Development plays a key role in providing data infrastructure, platforms, and analytics to support drug substance technology operations. The team supports the end-to-end process development lifecycle from pre-pivotal development through commercialization, covering all of Amgen’s product modalities. This specific role is part of a group that develops, implements, and sustains digital assets such as data pipelines, database tables and data analytics applications at all data asset lifecycle stages.

This Data Scientist role will be part of a team focused on advancing digital capabilities for the drug substance technologies organization. In this role, you will develop, evaluate, and improve Amgen’s digital assets, collaborating as part of a multi-disciplinary team of scientists and engineers on a wide range of problems. The ideal candidate will solve complex and open-ended “no single right answer” challenges by advancing data architecture and creating high value data analytics. Scope of work in this role is inclusive of digital systems related to process monitoring, technology transfer and commercial manufacturing support in addition to supporting larger, cross-functional digital initiatives.

  • Support digital systems and applications (e.g., Spotfire visualizations, SIMCA models, Databricks infrastructure and code repos, Product Lifecycle Management) to provide insights through integration of multiple data sources

  • Develop comprehensive understanding of Amgen data structures and metrics, advocating for changes where needed for process improvements

  • Support design and development of data pipelines to extract, transform and load data to support digital technology transfer solutions

  • Support data governance and good data practices including but not limited to ontologies, reference data, and semantic modeling.

  • Leverage large datasets to conduct end-to end analytics projects that include data gathering and requirements specifications, processing, analytics, ongoing deliverables, and presentations

  • Interact cross-functionally with a wide variety of people and teams. Work closely with engineers to find opportunities for process design improvements for Amgen products

  • Make business recommendations (cost-benefit, forecasting, scenario analysis) with effective presentation of findings to multiple level of stakeholders through visualizations

  • Contribute to establishing a robust data science strategy by providing recommendations related to process monitoring, data engineering, analytic platforms, analysis plans, and other relevant areas of data science

  • Enabling generative AI use cases for drug substance technologies

Win

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 self-starter with these qualifications.

Basic Qualifications:

  • High school diploma / GED and 8 years of Data Science or Engineering experience OR

  • Associate’s degree and 6 years of Data Science or Engineering experience OR

  • Bachelor’s degree and 2 years Data Science or Engineering experience OR

  • Master’s degree

Preferred Qualifications:

  • 3 years of work experience in biotechnology role (e.g. a statistician, statistical programmer, data analyst, data scientist, or process development/process engineering)

  • Experience with programming (e.g. R, Python) and database languages (e.g. SQL), as well as data visualization tools (e.g. Tableau, Spotfire)

  • Experience with statistical data analysis such as linear/non-linear multivariate models and hypothesis testing

  • Experience with Amazon Web Services, and/or Databricks, and/or Snowflake

  • Demonstrated skills in selecting the right tools given a data analysis question

  • Demonstrated effective written and verbal communication skills ability to plan and effective

  • Demonstrated leadership, self direction, and ability to effectively plan and follow through on complex projects

  • Ability to learn new techniques and provide technical leadership for key initiatives. Enthusiasm for training customers and teammates

  • Enthusiasm to build and maintain effective collaborations with partner organizations across Amgen’s Process Development and Operations Networks

Thrive

What you can expect of us

As we work to develop treatments that take care of others, we also work to care for our teammates’ professional and personal growth and well-being.

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.

Amgen offers a Total Rewards Plan comprising 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 including:

  • 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 and bi-annual company-wide shutdowns

  • Flexible work models, including remote work arrangements, where possible

Apply now

for a career that defies imagination

Objects in your future are closer than they appear. Join us.

careers.amgen.com

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 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.

Job Summary

JOB TYPE

Full Time

INDUSTRY

Scientific Services

SALARY

$122k-150k (estimate)

POST DATE

05/24/2024

EXPIRATION DATE

07/23/2024

WEBSITE

amgen.com

HEADQUARTERS

BOTHELL, WA

SIZE

15,000 - 50,000

FOUNDED

1980

TYPE

Public

REVENUE

$10B - $50B

INDUSTRY

Scientific Services

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About Amgen

Amgen discovers, develops, manufactures and delivers human therapeutics for patients suffering from serious illnesses.

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The following is the career advancement route for Data Scientist positions, which can be used as a reference in future career path planning. As a Data Scientist, it can be promoted into senior positions as a Data Scientist IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Scientist. You can explore the career advancement for a Data Scientist below and select your interested title to get hiring information.

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If you are interested in becoming a Data Scientist, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Scientist for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

Quotes from people on Data Scientist job description and responsibilities

Data scientists work closely with business stakeholders to understand their goals and determine how data can be used to achieve those goals.

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Data scientists are meant to use their technology and social science skills to develop different trends and manage data wisely.

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A data scientist develops software to structure the raw data.

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Data scientist will need to meet with their business stakeholders early and often to ensure that they are on the same page about the goals and deliverables of the project.

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Data scientists may spend some of their time working on ad hoc data requests, but these types of requests should only take up a small portion of their time.

02/01/2022: Peoria, IL

Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

Career tips from people on Data Scientist jobs

Analyzing data from multiple angles and searching for trends that could reveal problems or opportunities.

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Data scientists lay a solid foundation to help perform all kinds of analysis.

01/31/2022: Champaign, IL

Data scientists are also expected to have stronger software engineering skills that data analysts.

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Business analysts are focused on reporting, just like data analysts.

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A data scientist should understand the assumptions that need to be met for each statistical test.

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Step 3: View the best colleges and universities for Data Scientist.

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