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Summer Intern - System Development Department

Company: Disability Solutions
Location: Santa Clara
Posted on: February 7, 2024

Job Description:

The Position2024 Summer Intern - System Development DepartmentDepartment SummaryOur System Development team is committed to evaluating and integrating systems for sequencing-related in-vitro diagnostic applications. We are a diverse group of agile engineers and scientists, deeply passionate about delivering high-quality solutions to our customers. Our work is at the intersection of hardware, software, assays, and clinical data.This internship position is located in Santa Clara, on site. Key Responsibilities1 Data Analysis

  • Assist in analyzing high-throughput biological data, such as Next Generation Sequencing (NGS) data, using established computational tools and pipelines.
  • Perform quality control, preprocessing, and basic statistical analysis of biological datasets.2 Algorithm Implementation
    • Contribute to the development and implementation of computational algorithms or scripts for processing and analyzing biological data.3 Literature Review
      • Stay informed about the latest developments in genomics and bioinformatics through literature review.
      • Summarize relevant research papers and contribute to understanding current trends in the field.4 Data Visualization
        • Create visualizations to aid in the interpretation of biological data.
        • Assist in developing clear and informative figures for presentations and reports.5 Collaboration
          • Collaborate with team members and researchers to understand project goals and contribute effectively to ongoing research initiatives.
          • Attend team meetings and present updates on assigned tasks.6 Documentation
            • Maintain accurate and detailed documentation of analysis procedures, codes, and results.
            • Document any troubleshooting or optimization steps undertaken during the internship.7 Professional Development
              • Engage in skill-building activities, training sessions, and workshops to enhance computational biology and bioinformatics skills.
              • Attend seminars or webinars related to genomics and computational biology.Program Highlights
                • Intensive 12-weeks, full time (40 hours per week) paid internship.
                • Program start dates are in May/June (Summer)
                • 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) Required Education
                  • Must be pursuing a Master's Degree or PhD machine learning, statistics, bioinformatics, biomedical engineering or a data science related field.
                  • Completed at least 2 years of graduate studies to be eligible for the program.
                  • Minimum availability of 12 weeks (Required start on or before program Welcome Reception and end date on or after Summer End Poster Symposium).Required skills:
                    • Strong data analytical skill in Python or equivalent software.
                    • Proficiency in machine learning, deep learning, computer vision and image analysis concepts
                    • Proficiency in python programming to implement machine learning libraries (such as Scikit-learn, Pandas, Nmpy,Seaborn).
                    • Familiarity with deep learning libraries (e.g., PyTorch, TensorFlow, PyG, or DGL).
                    • Familiarity with or willingness to learn best practices for code development and maintenance, using Git for version control.
                    • Resourcefulness: Ability to quickly assimilate new information to perform assigned tasks effectively.
                    • Understand the Design of Experiments.
                    • Basic understanding or willingness to learn about Linux OS commands and tools such as Conda, Docker, or Singularity.
                    • Familiarity with Research or IVD applications using NGS based technology.Preferred Qualifications
                      • Self-motivated and quicker learner.
                      • Any prior experience or coursework involving MLops tools or involvement in projects with large-scale data or model implementations, like Large Language Models, would be a plus.
                      • Familiarity with or interest in applying image processing methods to biomedical images. Any experience or knowledge of utilizing acceleration hardware would be a plus.
                      • Exposure to or eagerness to learn about training and evaluating deep learning models using cloud-managed services such as AWS or GCP.
                      • Must have a ---3.0 GPA.Relocation benefits are not available for this job postingThe expected salary range for this position based on the primary location of Santa Clara, CA is $22 - $50/hr. 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. #Roche-R&D-Interns-2024 (ROCHE)Who we areAt Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we've become one of the world's leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.Roche is an equal opportunity employer and strictly prohibits unlawful discrimination based upon an individual's race, color, religion, gender, sexual orientation, gender identity/expression, national origin/ancestry, age, mental/physical disability, medical condition, marital status, veteran status, or any other characteristic protected by law.If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form .

Keywords: Disability Solutions, Santa Clara , Summer Intern - System Development Department, Other , Santa Clara, California

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