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Genentech

Senior Data Scientist

Posted 21 Hours Ago
Be an Early Applicant
In-Office
5 Locations
Mid level
In-Office
5 Locations
Mid level
Develop software tools to enhance data scientists' capabilities, contribute to open-source packages, and streamline data processing and analysis.
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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.

Data & Statistical Sciences is a department of over 1,000 data scientists working across multiple therapeutic areas to bring Roche molecules to patients. As an industry leader in data science, we have a strong commitment to developing open post-competitive tools that accelerate the time to insights. 

The Opportunity

As a member of Data Science Acceleration, you will work on projects that amplify the impact of data scientists, working on tooling across modern data science languages like R and Python to build tools that unlock patient data and streamline meaningful insights.

  • Work on software products to revolutionize the way our Data Scientists generate actionable and novel insights

  • Contribute to open source R packages and Python libraries that form part of our data science stack

  • Responsible for supporting the strategic, technical and business direction of our Data Sciences software products

  • Review opportunities to simplify, innovate and collaborate with experts within and outside of the Data Sciences organization to create efficiencies in clinical trial data collection, data storage, data processing, and data analysis

  • Required skills include advanced programming capability in Python, familiarity of modern version control tools, software development tools like CICD and open-source principles

  • Highly preferred skills include knowledge of R, Rshiny, javascript, container, AWS services like S3 and SQL/NoSQL databases.

  • Have a passion for the continual evolution of data science, and be a pragmatic subject matter expert able to assess the wide ecosystem of tools relevant to data science, from AWS through to snakemake, and be able to design, run and productionize efforts to help improve our path to insights.

Who You Are

  • Bachelor degree or higher degree, specifically in computer science, data science or relevant technical field.

  • 2 or more years experience in data science, specifically in the pharmaceutical/biotech industry. 

  • On-site position. Location: South San Francisco - US, Boston - US, Basel - Switzerland, Welwyn - UK, or Mississauga - Canada

Preferred Qualifications

  • Track record of establishing successful internal partnerships and collaborations.

  • Influential and confident communicator

  • Demonstrates experience utilizing models, modern ways of working consistent with an agile growth mindset, and agile behaviors and methodologies. 

  • Fluency in written and spoken English

  • Ability to work across multiple cultures and countries

  • Willingness to travel as required 

Relocation benefits are available for this posting

The expected salary range for this position based on the primary location of California is $153,900 - $285900. 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.

Benefits

Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.

If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.

Top Skills

AWS
JavaScript
NoSQL
Python
R
SQL

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