3 gigs found in Cambridge

Vecna is an Equal Employment Opportunity and Affirmative Action employer. We are committed to maintaining a working environment where all members feel valued and empowered. Candidates are considered for employment on the basis of individual merit, qualifications, ability, and potential and without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, or status as a covered veteran in accordance with applicable federal and state laws. Vecna conducts pre-employment screening in order to protect the interests of the company's employees and resources. Pre-employment screening may include a criminal background check, a credit check, and verification of academic credentials, licenses, certifications, references, and work history. Please fill out the following form to be considered for the Vecna team. Consistent with our commitment to equal employment opportunity, Vecna provides reasonable accommodations to qualified individuals with disabilities who need assistance in applying electronically for a position with Vecna, unless doing so would impose an undue hardship. To request a reasonable accommodation for this purpose, please call 617-864-0636 ext 3072.

Positions available: 9   Our focus in the Alexa Knowledge team combines natural language understanding, acquiring large volumes of structured knowledge, and building autonomous machine reasoning to allow our customers to get answers to their questions in the most natural way possible. We’re part of a huge research and engineering effort on the Amazon Alexa team. We’ve solved many complex problems to get to where we are today, but there are still plenty of challenges ahead of us, and Alexa is getting smarter every day. The problems we solve in the Alexa Knowledge team in Cambridge help Alexa get smarter by understanding the different ways people talk, by learning more and more facts about the world, by improving her common sense reasoning and by responding in the most natural way possible in multiple languages. We set out to build Alexa at Amazon because we believe that voice will fundamentally improve the way people will interact with technology, and we wanted to create a computer in the cloud that could be controlled entirely by your voice. On the Knowledge Extraction and Understanding team, we are constantly making Alexa smarter by enabling her to learn about what’s going on in the world. We believe that the information to answer (almost) every question can be found somewhere on the internet, and not just in an encyclopedia. Our goal is to teach Alexa how to read a wider range of texts and learn about the world as she reads them.  This will require methods that lie beyond the cutting edge academic and industrial research of today, at internet-level scale. Your role is to design these methods and work with the engineers on the team to bring them to the millions of customers who use Alexa every day.  Basic Qualifications   Currently enrolled in a PhD program in Computer Science, Machine Learning, Computational Linguistics, Natural Language Processing, Applied Mathematics or a related field; Hands-on experience in one or more of: Information Extraction, Deep Learning, Scalable Machine Learning, Semantic Parsing; Good coding skills. Experience in Python or Java is a plus; Good communication skills and the ability of working in a team.    Preferred Qualifications Ability to convey rigorous mathematical concepts and considerations to non-experts; Demonstrable research track record in the form of academic publications; Experience of working with large datasets. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. We offer a competitive salary and stock units, we offer a whole host of other benefits, including an employee discount, private health care and pension scheme. We are committed to keeping compensation fair and equitable.

Agios Pharmaceuticals is searching for a statistician Intern to join our statistic group.  The summer intern will have the opportunity to work with a senior statistician on a project involving statistic considerations and method in Patient Reported Outcome (PRO) development, including considerations in PRO in-trial validation and its impact on the analyses in the registration trials. Key Responsibilities Perform statistical, clinical, and regulatory literature reviews on various methodologies PRO development Develop SAS/R programs to implement these methodologies Perform other duties as assigned Give regular progress updates to manager and mentor Prepare a final report of work and make a presentation to the Biostatistics staff meeting and on intern poster day Minimum Requirements Currently enrolled in a graduate-level curriculum leading to a PhD in statistics, biostatistics or highly related field Completed at least two, preferable three, full years of graduate study before the start of the internship in summer Preferred Qualifications Solid statistical background with proven research abilities Strong written and verbal communication skills Prior internship or co/op experience Excellent programming skills in SAS, R; Highly motivated and detail oriented