Intern - Product Development Data Sciences - Data and Statistical Science

Key Skills

Data science techniques, Data Visualization, Genomic data, Git, Large scale data processing, R Programming, R-Shiny, Statistical modeling

Job Description

Product Development Data Sciences is a group of more than 1,000 data scientists across 5 global sites. We deliver data and insights about our medicine with excellence and passion. Our mission is to unlock the full potential of data, to accelerate innovative healthcare solutions for patients and society.

During this internship, you will receive on-the-job type of training and get exposure to diverse types of data science projects in the pharmaceutical industry. 

To be considered, please submit your application along with a cover letter. In the cover letter, please share with us why you are interested in this internship, what you wish to achieve from this internship, and your targeted starting date and duration. 

This internship position is located in South San Francisco.

Key Responsibilities

• Data analytics: Developing code for processing or exploration of patient level clinical data, potentially aggregating with digital health (device) and/or genomic data.
• Data engineering: Exploring efficiencies in data flow from raw to analysis-ready data sets
• Developing R packages: Developing or refactoring code to create reusable R packages for data processing or visualization.
• Automation: Developing innovative solutions for automating data handling and analytics processes.
• Statistical research: Applied problems with direct relevance to ongoing clinical or nonclinical drug development in diverse therapeutic areas such as oncology, immunology, infectious disease, ophthalmology, and neuroscience. The specific topics may cover research problems from translational research to late-stage clinical trials and post-marketing evaluations.
• Machine learning research: Suggesting and implementing new methodologies in machine learning for data exploration to enable scientific reverse translation.
• Innovation: Driving proof of concept work to explore usage of new software or programming language in a component of our work.

Program Highlights

• Intensive 6-12 month paid internship. The first 12-weeks is required to be full time (40 hours per week, standard business hours), after the first 12 weeks there is an option to switch to a part-time schedule (>= 20hr/week).
• Program start dates are in May/June
• Ownership of challenging and impactful business-critical projects
• Work with some of the most talented people in the biotechnology industry
• Final presentations of project work to senior leaders
• Lead or participate in intern committees to design and coordinate program events and initiatives
• Professional & personal development curriculum throughout the program, including networking opportunities, workshops, and panel discussions
• Participate in volunteer projects, social events, and team-building activities

Who You Are

• Current Master’s or PhD Student, or Master’s or PhD student who graduated within 1 year.
• Preferred Majors: The ideal intern candidate will have a major or coursework in Statistics, Biostatistics, Computer Science, Data Science, Biotechnology, or related fields.

Qualifications and Competencies

• Solid training in statistics and/or data science.
• Expert problem solver capable of seeking help when needed.
• Excellent communicator and team player; comfortable explaining complex technical topics to non-technical audiences.
• Intermediate programming ability in R; familiarity with R Shiny a plus.
• Experience with software development workflow including versioning and code collaboration with Git.
• Passion for learning and curious about drug development in the biotech industry.
• Familiarity with time-to event and clinical data a plus. 

Along with the submission of your CV, a cover letter is optional.

Relocation benefits are not available for this job posting.