Sr. Associate - Data Science (Ur)

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

WHAT YOU WILL DO

Let’s do this. Let’s change the world. In this vital role you as a Data Excellence rotational program member, you will gain first-hand experience solving some of the most exciting 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.

• Implement data science projects and complete high quality deliverable on time to support business
• Apply 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

WIN

WHAT WE EXPECT OF YOU

We are all different, yet we all use our unique contributions to serve patients. The [vital attribute] professional we seek an emerging, 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 useful decisions for the business.

BASIC QUALIFICATIONS:

• Master’s degree

OR

• Bachelor’s degree and 2 years of Data Science; Computer Science; Biomedical, Computer, or Software Engineering; Mathematics; Computational Chemistry or Biology; Statistics; Information Systems; Relevant Programs

Or

• Associate’s degree and 6 years of Data Science; Computer Science; Biomedical, Computer, or Software Engineering; Mathematics; Computational Chemistry or Biology; Statistics; Information Systems; Relevant Programs

Or

• High school diploma / GED and 8 years of Data Science; Computer Science; Biomedical, Computer, or Software Engineering; Mathematics; Computational Chemistry or Biology; Statistics; Information Systems; Relevant Programs

PREFERRED QUALIFICATIONS:

• 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 teammate who is able to collaborate with colleagues on complex tasks
• Track record of optimally 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