Life Sciences Software Intern
This role is responsible for analyzing and driving technical aspects of life sciences/bioinformatics/biomedical informatics related projects. This includes working on code optimizations and parallelization on bioinformatics and other life sciences codes/algorithms/pipelines.
You will get an opportunity to collaborate with interdisciplinary teams of business, user-experience and domain experts, and external industry partners. As you prepare yourself for the future, this internship will train you in the ability to make high level design choices for the software structure, frameworks, protocols, algorithms and standards.
Your deliverables at the end of the internship could include solution blueprints, reference architectures, prototypes, case studies or white papers.
We would love to have you for an extended amount of time even up to 1 year (3 months minimum), giving you the chance to ramp up, learn and deliver great results.
Responsibilities may be quite diverse of a software technical nature. Experience and education requirements will vary significantly depending on the unique needs of the job. Job assignments are usually for the summer or for short periods during breaks from school.
You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Experience listed below would be obtained through a combination of your school work/classes/research and/or relevant previous job and/or internship experiences.
- Must be pursuing a MS or PhD degree in Computer Science,
Bioinformatics or Biomedical informatics.
-Experience in algorithm optimization, data structures, data, vector and task parallelization techniques.
-Data analytics experience along with statistical and algorithm development.
-Comfortable with Linux/Unix, scripting languages (python, perl, ruby), programming languages (R, C/C++) and multithreaded programming.
-Good understanding of statistical methods as they apply to genomic and genome-wide genetic data.
-Knowledge of Next Generation Sequencing, genotyping, gene expressions, or molecular diagnostics a definite plus
Additional Desired Experience: (not a must)
-Distributed Cloud Computing Architecture, Hadoop, HBase, MapReduce, pattern matching and filtering.
-Experience architecting and developing life sciences/bioinformatics solutions for High Performance Computing and/or Shared Memory systems.
Mar 18, 2013
May 27, 2013
Employees in the Intel Architecture Group (IAG) deliver innovative platforms across computing and communication segments including data centers, mobile and desktop personal computers, handhelds, embedded devices and consumer electronics. Intel's industry leading technology is used to create integrated hardware and software solutions such as processors, chipsets, communication radios, graphics processors, motherboards, and networking components that deliver capabilities from security and manageability to computing performance and energy efficiency. IAG employees are at the forefront of enabling a new era of computing that is more integrated into all aspects of our daily lives.
The Health Strategy and Solutions Group (HSS) is a collaborative team of ethnographers, designers and technologists whose vision is to deliver innovative computing technologies and solutions that improve healthcare quality, cost and access to billions of people worldwide. We achieve this vision by growing Intel's impact, influence and revenue in the global health market place through people and customer-centric pathfinding.
We will accept applications/resumes until 60 days after posting date or earlier at Intel’s discretion. Intel invites people of all ages currently enrolled in an academic institution (or graduated within the last 18 months) to apply.
Intel - 16 months ago
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