Amazon Data Science Internship Jobs in Boston, MA

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.

Data Scientist

Duties: Apply statistical trending tools to product and method data Apply engineering principles and multivariate statistical analysis in-order to understand sources of variation and evaluate opportunities for improvements; Use data analytics software to develop visualizations to review, assess, and improve analytical method performance; Interface with analytical scientists, process development scientists, and engineers to assess, understand, and support data consumption needs; Interface with product quality, QC, quality assurance, and manufacturing organizations to resolve method issues; Support ongoing GMP activities such as the generation of the annual product review documents, regulatory inspections, and process documentation; Stay abreast of new technologies and statistical approaches to recommend improvement; and Apply machine learning methodologies where appropriate for analyzing datasets. May telecommute.

Requirements: Position requires a Master's degree (or foreign equivalent) in Data Science, Computer Engineering or related field & completion of a university-level course, research project, internship, thesis, or one year of experience in the following:

Data analysis and visualization using tools including Power BI and Tableau

Develop data pipelines Extract, Transform, and Load using Data warehouse solutions including Databricks, Snowflake, and Amazon Redshift

Analyze time series data and performing statistical analyses and hypothesis testing;

Programming languages including Python and R;

AI/ML (Artificial Intelligence/Machine Learning) techniques including classification, regression, and anomaly-detection methods for predictive analytics and operational improvements;

Conducting research in AI/ML (Artificial Intelligence/Machine Learning) topics including deep learning, natural language processing (NLP), and predictive analytics for potential application; and

Machine Learning models including convolutional neural networks to understand protein structures.

Contact: Interested candidates please apply via https://careers.amgen.com/en/search-jobs and search for job #R-248084

Job type: Full-Time position. The annual salary range for this position in the U.S. is $114,088.00 - $133,117.00 per year. Also, this position offers stock, retirement, medical, life and disability insurance and eligibility for an annual bonus or for sales roles, other incentive compensation. For more details visithttps://careers.amgen.com/life-at-amgen/benefits/

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, 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, including remote and hybrid work arrangements, where possible

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.

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.

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.