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Senior Scientist (Computation)

Genentech

South San Francisco (CA)

On-site

USD 128,000 - 238,000

Full time

2 days ago
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Job summary

Genentech seeks a talented Senior Scientist in Computational Biology to analyze large-scale multi-omic experiments for inflammatory diseases. This role involves understanding disease biology to inform therapeutic discovery. A Ph.D. in a relevant field and innovative thinking are essential for success in this collaborative environment.

Qualifications

  • 0-3 years of post-PhD experience (industry or academia).
  • Experience with single-cell and multi-omic data analysis preferred.
  • Strong publication record is a plus.

Responsibilities

  • Design and analyze multi-omic experiments focused on inflammatory diseases.
  • Collaborate within an interdisciplinary team of quantitative and clinical scientists.
  • Present complex results clearly to diverse audiences.

Skills

Data Analysis
Analytical Skills
Communication
Collaboration
Research Skills

Education

Ph.D. in Computational Biology, Bioinformatics, Molecular Biology, or Immunology

Tools

R
Python

Job description

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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.

Genentech is seeking a talented and highly motivated Senior Scientist in Computational Biology to join our dynamic team. The successful candidate will work in a highly interdisciplinary group at the intersection of Genentech’s Computational Sciences, Immunology Discovery & Regenerative Medicine and Translational Medicine Departments.

The Opportunity

In this role, you will be responsible for planning and analyzing large-scale multi-omic experiments for inflammatory diseases at both the bulk and single-cell levels. These experiments aim to generate novel insights, particularly in Inflammatory Bowel Disease (IBD) and Chronic Obstructive Pulmonary Disease (COPD). This will involve using data from both preclinical models and patient samples. The ultimate goal is to deepen our understanding of disease biology and progression, directly informing the discovery of novel therapeutic targets and biomarkers. Additionally, your work will address key project team questions related to both forward and reverse translation.

  • Design and analyze multi-omic experiments, with a primary focus on understanding IBD and COPD disease biology from preclinical models and patient samples.
  • Identify and integrate relevant dataset from various internal and external resources.
  • Understand and apply best-in-class algorithms to address biological and clinical questions.
  • Collaborate effectively within an interdisciplinary team of quantitative, experimental, and clinical scientists.
  • Present complex results clearly and concisely to diverse audiences.

Who You Are

  • You have a Ph.D. in Computational Biology, Bioinformatics, or a related field; or a Ph.D. in (Molecular) Biology or Immunology with in-depth experience in high-throughput data analysis evidenced by publications.
  • You have 0-3 years of post-PhD experience (industry or academia). A strong publication record is a plus.
  • You have experience with single-cell and multi-omic data analysis. Experience with spatial assays and/or clinical data is preferred but not required.
  • Excellent communication skills, with the ability to present complex data to varied audiences.
  • A collaborative mindset and the ability to work effectively in an interdisciplinary team environment.

Preferred

  • Strong Interest in inflammatory diseases; prior expertise in immunology, inflammation, or autoimmune diseases is a plus.
  • Proficiency in advanced analytical tools and algorithms, with extensive experience in R and/or Python for statistics and computational biology. Familiarity with UNIX, high-performance computing environments, and ML/AI approaches is a plus.

#gCS

#tech4lifeDataAnalytics

Relocation benefits are available for this posting

The expected salary range for this position based on the primary location of California is $128,200 - 238,000. 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.

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.

Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Research, Analyst, and Information Technology

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