Sr. Data Scientist - Process Modeling

BioSpace; Boston (MA); Presencial; USD 120.000 - 160.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Retirement and Savings Plan

Medical, dental, vision coverage

Stock-based incentives

Flexible work models

Paid time off

Descripción de la vacante

Amgen is seeking a Senior Data Scientist for Process Modeling in the U.S. You will join the Digital Process and Systems Analysis group, advancing biologics drug-substance modeling and digitizing tech-transfer workflows.

You will lead data pipelines, modeling, and visualization efforts to support drug substance development, tech transfer, and manufacturing across Amgen sites. The role emphasizes collaboration with scientists and engineers, open-ended problem solving, and ongoing performance

Formación

• Doctorate degree or equivalent data science/engineering education.
• Master's degree plus 2 years of data science/engineering experience, or equivalent.
• Bachelor's degree plus 4 years of data science/engineering experience.
• Associate's degree plus 8 years of data science/engineering experience.
• High school diploma or GED plus 10 years of data science or engineering experience.

Responsabilidades

• Drive implementation of digital technologies using tech-transfer and process-modeling knowledge.
• Own digital applications for tech-transfer, expanding digital process-modeling for the DS network.
• Make change management to integrate digital applications into product teams.
• Develop data products to enable FAIR data for tech transfer/NPI.
• Enable AI workflows for DST modeling assets.
• Collaborate with digital product teams to integrate modeling assets into business processes.
• Interact cross-functionally with diverse teams and stakeholders.
• Present cost-benefit analyses, forecasts and scenario analyses to stakeholders.
• Contribute to establishing a robust data science strategy across processes.

Conocimientos

Leadership

Communication

Python

SQL

Databricks

AI tools

React

Power BI

Biotech experience

Agile methodologies

Educación

Doctorate degree

Master's degree

Bachelor's degree

Associate's degree

High School diploma

Herramientas

Databricks

Python

SQL

React

Power BI

Tableau

Descripción del empleo

Join Amgens Mission of Serving Patients

At Amgen, if you feel like youre part of something bigger, its because you are. Our shared missionto serve patients living with serious illnessesdrives all that we do.

Since 1980, weve helped pioneer the world of biotech in our fight against the worlds toughest diseases. With our focus on four therapeutic areas Oncology, Inflammation, General Medicine, and Rare Disease we reach millions of patients each year. Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity and obesity-related conditions. As a member of the Amgen team, youll 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, youll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.

Sr.Data Scientist - Process Modeling

What you will do

Lets do this. Lets change the world. In this vital role you will join the Digital Process and Systems Analysis group within Process Development plays a key role in providing data infrastructure, platforms, and analytics to support engineering teams across our network, ensuring state-of-the-art data insights to drive innovation and efficiency for the commercialization and optimization of Amgens pipeline. This group also supports key priorities and the development of strategies for digital process development for both biologic and synthetic moieties.

This position is part of a team advancing biologics drug-substance modeling and the digitization of tech-transfer workflows. As new modeling capabilities are developed and information is parameterized, opportunities abound to deploy modeling tools to enable early insights and phase-appropriate decision-making. These capabilities support drug substance development, technology transfer, manufacture, and life-cycle management across Amgens global network of manufacturing and development sites.

This role will contribute to the success of Drug Substance Technology organization by helping to digitize workflows to drive improvements in technology transfer timelines and ensure right-first-time success. As a Sr. Data Scientist, you will evaluate and improve Amgens digital assets, collaborating as part of a multi-disciplinary team of scientists and engineers on a wide range of problems. The position will lead to solutions for open-ended no single right answer challenges, including modeling, data pipelines, and visualizations to support drug substance development, tech transfer, and manufacturing. The Sr. Data Scientist will also be responsible for determining, defining, and tracking performance improvements.

Responsibilities

• Leverage tech-transfer and process-modeling domain knowledge to drive implementation of digital technologies
• Digital Product Ownership of tech-transfer digital applications, focused initially on expansion of digital process-modeling for the DS network
• Change management to integrate tech transfer digital applications into product teams
• Development of data products to enable FAIR data for tech transfer/NPI
• Enable AI Agentic workflows for DST modeling assets
• Collaborate with digital product teams to build and integrate modeling assets into business processes for DST
• Interact cross-functionally with a wide variety of people and teams. Work closely with engineers to identify opportunities for process design improvements for Amgen products
• Make business recommendations (cost-benefit, forecasting, scenario analysis) with effective presentation of findings to varied levels of stakeholders
• 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

What we expect of you

We are all different, yet we all use our unique contributions to serve patients. The Data Scientist professional we seek is an individual with these qualifications.

Basic Qualifications

• Doctorate degree
• OR
• Masters degree and 2 years of Data Science or Engineering experience
• OR
• Bachelors degree and 4 years of Data Science or Engineering experience
• OR
• Associates degree and 8 years of Data Science or Engineering experience
• OR
• High School diploma or GED and 10 years of Data Science or Engineering experience

Preferred Qualifications

• MS degree or doctorate in an engineering or scientific field with demonstrated capability in application of data science.
• Chemical Engineering modeling, drug-substance, tech-transfer experience
• 3+ years of work experience in biotechnology role (e.g. process engineer, scientist, data scientist)
• Experience with AGILE software development methodologies
• Experience with Databricks, coding languages (Python, SQL), AI Tools (Chat GPT, Codex, GenieCode), React, and BI tools (Spotfire/Tableau/Power BI)
• Experience in developing AI applications for process development workflows and integrating AI solutions into process development business processes
• Experience with process modeling for cell-culture, harvest,and purification scale-up
• Demonstrated performance in application of digital tools to solve analytical problems
• Demonstrated effective written and verbal communication skills
• Demonstrated leadership and self-direction. Demonstrated willingness to both teach others and learn new techniques as well as manage team members and deliverables.

What you can expect of 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, well 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.

Benefits

• 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.

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.

Equal Opportunity

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.