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student looking for an applied research internship? Starting date early January 2024, duration 12 weeks, potentially extended up to 6 months.

You might end up working closely with me and/or one of my colleagues on some cool LLM-related stuff!

roche.wd3.myworkdayjobs.com/RO

roche.wd3.myworkdayjobs.com2024 Spring Intern - Product Development Digital Strategy and Enablement (PD-DSE)2024 Spring Intern - Product Development Digital Strategy and Enablement (PD-DSE), On-site South San Francisco, CA Department Summary: In DSE we focus on delivering technology that evolves the practice of medicine and helps patients live longer, better lives. We are a diverse team of open and friendly people, enthusiastic about technological novelties and optimal enterprise solutions. We share knowledge, experience & appreciate different points of view. As a DSE AI intern, you will work closely with multi-disciplinary teams to contribute to the design, development and deployment of structured, high-quality AI solutions, in particular Large Language Model (LLM) solutions. These solutions will be leveraged across the PD organization to help our teams fulfill our mission: to do now what patients need next. This internship position is located in South San Francisco and it is an on-site position. Key Responsibilities: Partner with the Data Scientists and cross functional teams to solve complex problems and help to create unique solutions by using modern NLP technologies including LLMs Contribute to the build of data pipelines for ML models. Development and evaluation of ML models according to business and functional requirements. Document and communicate the design and implementation details. Program Highlights: Intensive 12-weeks (possibly being extended to 6 months), full time (40 hours per week) paid internship. Program start dates are in January A stipend, based on location, will be provided to help alleviate costs associated with the internship. Ownership of challenging and impactful business-critical projects. Work with some of the most talented people in the biotechnology industry. Who You Are (Required) You meet one of the following criteria: - Attained a Bachelor's Degree - Pursuing a Master's Degree - Attained a Master's Degree - Pursuing a PhD Your Qualifications and Experience: Experience with Machine Learning (ML) algorithm development and evaluation. Familiarity with Deep Learning (DL) and DL frameworks e.g. pytorch, tensorflow. Working experience with revision control systems e.g. git. Team player and good interpersonal skills. Ability to work effectively with team members and virtual teams from different locations and different cultural backgrounds. Required Majors: Bachelor’s degree in Computer Science/Engineering, Statistics, Applied Mathematics, Operations Research, Physics and other quantitative disciplines or equivalent work experience. Required Skills: Outstanding problem-solving skills. Solid programming skills in Python. Other Preferred Qualifications: NLP and LLM experience. High performance computing cluster experience. Experience with clinical study data. Along with the submission of your CV, a cover letter is optional. Relocation benefits are not available for this position. The expected salary range for this position based on the primary location for this position of California is $22.00 - $55.00 per hour. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. This position also qualifies for paid holiday time off benefits. Genentech is an equal opportunity employer, and we embrace the increasingly diverse world around us. Genentech prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin or ancestry, age, disability, marital status and veteran status. Who We Are Genentech, a member of the Roche group and founder of the biotechnology industry, is dedicated to pursuing groundbreaking science to discover and develop medicines for people with serious and life-threatening diseases. To solve the world's most complex health challenges, we ask bigger questions that challenge our industry and the boundaries of science to transform society. Our transformational discoveries include the first targeted antibody for cancer and the first medicine for primary progressive multiple sclerosis. Diversity and Inclusion (D&I) are critical to the success of our company and our impact on society. We believe that by championing diversity of background, thought and experience, we can foster a sense of belonging and provide an environment where every employee feels valued, included, and able to contribute their best for the patients we serve. We’re focused on attracting, retaining, developing and advancing our people to their full potential by rewarding bold ways of thinking and integrating inclusive behaviors into every aspect of our work. The next step is yours. To apply today, click on the "Apply for this job" button. Genentech is an equal opportunity employer & prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity/expression, national origin/ancestry, age, disability, marital & veteran status. For more information about equal employment opportunity, visit our Genentech Careers page. If you are in need of an accommodation due to a disability to assist with submitting your application or at any point during the hiring process, please email US.accommodation@roche.com. Beginning September 30, 2021, Genentech requires all new hires to be fully vaccinated against COVID-19 as of their start date. This requirement is a condition of employment at Genentech, and it applies regardless of whether the position is located at a Genentech campus or is fully remote. If you are unable to receive the vaccine due to a disability or serious medical condition, or because it is prohibited as a result of your sincerely held religious beliefs, you will have an opportunity to request a reasonable accommodation.
The Sigmoid Data Therapist

Genentech, if you didn’t know, is a “Big Pharma” (healthcare) company, with tons of interesting data and a great work culture.

Feel free to contact me with questions if any.