Post Doctoral Fellow - AI / Machine Learning Data Scientist

US - Massachusetts - Cambridge

Amgen

Amgen is committed to unlocking the potential of biology for patients suffering from serious illnesses by discovering, developing, manufacturing and delivering innovative human therapeutics.

View all jobs at Amgen

Apply now Apply later

Career Category

Postdoctoral

Job Description

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.

Post Doctoral Fellow - AI / Machine Learning Data Scientist

Live

What you will do

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

Amgen’s Transformative Digital Capabilities (TDC) organization is a global process development function that develops and deploys state of the art advanced computational technologies in: 1) data capture, integration and management, 2) empirical and first principles modeling towards improved process understanding and robustness, and 3) monitoring, prediction and optimization of manufacturing.

As a Post Doctoral Fellow within TDC you will be responsible for developing, maintaining and deploying machine learning models for biopharmaceutical processes, such as upstream biologics, where having a fundamental understanding of process engineering would be preferred. You will be responsible for the selection of the underlying technologies and infrastructure. Finally, you will enable dataflow from our centralized data lake to computational models.

The ideal candidate will have a strong background in engineering as well as expertise in data science to tackle challenging cross‐functional projects including machine learning, machine learning and first principles hybrid model development, data analysis and visualization.

The candidate will be part of cross functional project teams with frequent interactions with Amgen’s SMEs and stakeholders as well as document and communicate the underlying technical basis of the models for the benefit of and use by engineers and scientists.

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:

  • PhD at time of appointment

Preferred Qualifications:

  • PhD in an engineering or science field completed by Dec 2024

  • Track record of leading data science and machine learning projects

  • 4+ yrs of coding experience in Python

  • Engineering background with strong ML skills

  • Experience in AI and ML algorithms

  • Experience working with experimental data sets, data mining, and machine learning tools such as PyTorch and TensorFlow

  • Understanding of biopharmaceuticals process and related unit operations.

  • Experience using Git for version control

  • Familiarity with DevOps and software best practices (i.e., version control, continuous integration, test driven development)

  • Experience in Databricks, Spotfire

  • Experience in cloud computing and storage systems such as AWS.

  • Independent, self‐motivated, organized, able to multi‐task in time‐sensitive environments, and skilled in communication, facilitation, and collaboration

  • Excellent communication skills (written and verbal)

  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy

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.

.

Salary Range

76,773.00 USD - 87,171.00 USD
Apply now Apply later

Tags: AWS Data analysis Databricks Dataflow Data Mining DevOps Engineering Git Machine Learning ML models PhD Python PyTorch Spotfire TensorFlow

Perks/benefits: Career development Equity / stock options Flex hours Flex vacation Health care Insurance Salary bonus

Regions: Europe North America
Country: United States

More jobs like this