Sr. Associate - Data Science (UR)
We are seeking early career, entry-level talent to play a major role in how we architect, visualize, and interpret critical data that is at the very core of our business. As a Data Science Sr. Associate in our Data Excellence Development Program, you will be challenged with uncovering analytical insights through data mining and statistics. And you will have the opportunity to translate those insights into actionable decisions for the business.
As a Data Excellence rotational program member, you will gain first-hand experience solving some of the most challenging problems facing the biotech industry today within a variety of functions. This three year development program will expose you to three different business analytics roles by spending one year in three different departments, with opportunities in Research & Development, Operations, Global Commercial Operations, and Corporate. Starting from Day One, you will be introduced to the many nuances and complexities of our organization and asked to think creatively and independently to influence and drive decision-making. You will also be given the opportunity to work in cross-functional teams that include key internal and external partners across the business, including but not limited to business development partners, scientists, operations staff, engineers, product teams, and executives.
Responsibilities will include:
Execute data science projects and complete high quality deliverable on time to support business
Utilize programming / code to parse data, statistics, machine learning and artificial intelligence techniques, and NLP algorithms to uncover novel trends or factors representing opportunities or challenges to our business
Liaise with potential users and SMEs to get input for design and to validate utility of solutions developed
Write communications and facilitate discussions on processes / behaviors
Analyze business needs and translate to software-level requirements
Currently enrolled in final year of a Master's degree in one of the following areas:
Data Science; Computer Science; Biomedical, Computer, or Software Engineering; Mathematics; Computational Chemistry or Biology; Statistics; Information Systems; Relevant Programs
Minimum GPA of 3.0 in current program
Demonstrated aptitude and exposure with industry standard tools to execute and automate the more technical aspects of statistical data analysis, including SQL, R, SAS, Python (or equivalent)
Prior internship in similar field
Highly motivated, self-starting nature; capable of and comfortable with independent critical thinking and problem solving; energized by change and challenge
Excellent written and verbal communication skills with a particularly well-developed ability to display data and lead audiences to logical conclusions
Strong team player who is able to collaborate with colleagues on complex tasks
Track record of successfully owning, planning, and implementing multi-faceted projects
Experience with formal Agile project methodologies
Programming Experience : familiarity with C , R, MATLAB, Python
Database Experience: SQL query, (familiarity with Hive/Hadoop, Mongo, Pandas)
Big Data Storage Tools: AWS, virtual machines
Data visualization tools: Tableau, Spotfire or similar; d3.js
Basic understanding of application development methodologies and techniques, as well as the knowledge and skills to advise users of a proposed software's functionality
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, or disability status.
Website : http://www.amgen.com
Amgen discovers, develops, manufactures, and delivers innovative human therapeutics. A leader in biotechnology since 1980, Amgen was one of the first companies to realize the new science’s promise by bringing safe, effective medicines from lab, to manufacturing plant, to patient. Amgen therapeutics have changed the practice of medicine, helping millions of people around the world in the fight against cancer, kidney disease, rheumatoid arthritis, bone disease, and other serious illnesses.