Sr Principal Data Scientist

at  Genentech

San Francisco, California, USA -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate19 Sep, 2024USD 364000 Annual19 Jun, 20247 year(s) or aboveKnowledge Management,Emerging Technologies,Business Operations,Development Strategy,Product Concept,Technical Leadership,Reuse,Platforms,Data Standards,Unstructured Data,Design,Technical Requirements,User StoriesNoNo
Add to Wishlist Apply All Jobs
Required Visa Status:
CitizenGC
US CitizenStudent Visa
H1BCPT
OPTH4 Spouse of H1B
GC Green Card
Employment Type:
Full TimePart Time
PermanentIndependent - 1099
Contract – W2C2H Independent
C2H W2Contract – Corp 2 Corp
Contract to Hire – Corp 2 Corp

Description:

THE POSITION

A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come.
Creating a world where we all have more time with the people we love.
That’s what makes us Roche.
The recent Generative AI (GenAI) Revolution has provided Roche with tremendous opportunities in Product Development (PD) Digital Strategy and Enablement (DSE). This position will take an innovative, strategic, talented technical expert in AI for clinical development and give the opportunity to utilize this knowledge and impact patients’ lives.

PREFERRED QUALIFICATION:

  • You have a sustained record of leading project teams to deliver in multiple areas. Track record of establishing successful internal collaborations and managing external technical vendors.
  • You have the demonstrated entrepreneurial mindset and self-direction, ability to teach others and willingness to learn new techniques. Evidence of business and technical acumen.
  • You have the aAbility to build business cases, technical requirements, solution architecture, data engineering design, computing/storage resource management, model development and evaluation, productization, and maintenance.
  • You have experience in GenAI / Foundation Models, and classical ML/DL algorithms & frameworks e.g. pytorch, tensorflow and standard NLP techniques and LLM.
  • You have experienced with multiple data modalities e.g. relational DB, images, free form texts.
  • You have hands-on experience with productivity toolchain eg JIRA, enterprise git.
    Relocation benefits are not available for this job posting.
    The expected salary range for this position based on the primary location of South San Francisco California is $196,000 - $364,000. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.

Responsibilities:

  • You will translate the business needs into technical requirements and user stories to ensure delivery of impactful and user-friendly digital solutions.
  • You will define the product concept, design the development strategy by evaluation both internal development feasibility and external acquisition opportunity
  • You will contribute technical leadership within and external to DSE including (but not limited to) current and new technologies, AI industry landscape, ways of working & best practices, engineering and analytics methodology etc. Key technologies and platforms in DSE include, but not limited to GenAI in particular LLMs, classical ML/DL, knowledge management and discovery, content creation and reuse, and operational data standards and governance.
  • You will drive to achieve results - demonstrates curiosity and ability to learn new things, show initiative, welcome problems as a challenge; deliver solutions to technical problems
  • You will collaborate with global informatics, design and implement GenAI applications, tools, and processes that enable value creating solutions to simplify business operations. Partner with data/content generation and management teams to automate at scale curation and organization of structured and unstructured data and information


REQUIREMENT SUMMARY

Min:7.0Max:12.0 year(s)

Information Technology/IT

IT Software - Other

Software Engineering

Graduate

Proficient

1

San Francisco, CA, USA