Scientist I, Clinical Biomarker Development (Cancer Genomics)

Revolution Medicines is a clinical-stage precision oncology company focused on developing novel targeted therapies to inhibit frontier targets in RAS-addicted cancers. The companys R&D pipeline comprises RAS(ON) Inhibitors designed to suppress diverse oncogenic variants of RAS proteins and RAS Companion Inhibitors for use in combination treatment strategies. As a new member of the Revolution Medicines team you will join other outstanding Revolutionariesin a tireless commitment to patients with cancers harboring mutations in the RAS signaling pathway.

The Opportunity :

In this role you will join the Cancer Genomics group within Clinical Biomarker Development which sits in the Translational Medicine department to develop biomarker technology and computational strategies for our RAS(ON) inhibitor programs. You will drive the application of advanced genomics analyses & emerging NGS technologies to maximize insight generation from clinical samples in our Phase I-III studies. This role offers the chance to work in a collaborative and innovative environment including on cross-functional teams with other computational scientists biomarker leads biostatisticians and preclinical scientists.

As a Cancer Genomics Scientist I in Clinical Biomarker Development you will :

Apply advanced analytics and genomics solutions to clinical biomarker data to inform research & development including machine learning methods with high throughput NGS genomic data.

Integrate multi-omics datasets (e.g. spatial transcriptomics liquid biopsy and other NGS approaches) to interrogate disease biology resistance mechanisms and predict drug response.

Collaborate with cross functional teams managing interactions with key stakeholders to deliver robust biomarker analyses and recommend follow up actions.

Communicate results to expert and non-expert audiences including internal cross-functional team members and external collaborators through scientific publications and presentations.

Required Skills Experience and Education :

A Ph.D. in Cancer Genomics Genetics Computational Biology or similar degree in which cancer biology is integrated with genomics data analysis.

Proficiency programming in R and / or Python for computational biology analysis.

Expert in clearly documenting work with a version control system (git).

Experienced in Linux and the cloud including HPC clusters and command line interface.

Practiced at developing genomics workflows for large scale NGS datasets.

Expert in the interrogation of RNAseq data such as bulk single-cell and spatial transcriptomics data preferably including utilization of single-cell atlas data to inform analysis flow.

Experienced working with DNA sequence data (mutation liquid biopsy CGP WES or similar).

Practiced in commonly used tools and methods (Seurat Scanpy GATK Bioconductor etc) and in utilizing publicly available datasets (TCGA cBioPortal) to interrogate cancer genomics data.

Strong interpersonal verbal and written communication skills; proactive self-motivated and adaptable in a dynamic environment.

Demonstrated ability to translate complex data into clear biological insight and to influence project direction through data-driven scientific inquiry.

Preferred Skills :

Experienced with AI / ML approaches to integrate single-cell & spatial transcriptomics data.

Deep knowledge of pancreatic cancer preferably including how progression response and resistance may be mediated by tumor microenvironment and / or transcriptional programming.

Trained in cancer signaling biology with strong understanding of RAS / MAPK signaling pathways.

Strong understanding of statistics and the ability to generate robust predictive models for outcomes in multidimensional data. #LI-Hybrid #LI-SH1

The base pay salary range for this full-time position for candidates working onsite at our headquarters in Redwood City CA is listed below. The range displayed on each job posting is intended to be the base pay salary range for an individual working onsite in Redwood City and will be adjusted for the local market a candidate is based in. Our base pay salary ranges are determined by role level and location. Individual base pay salary is determined by multiple factors including job-related skills experience market dynamics and relevant education or training.

Please note that base pay salary range is one part of the overall total rewards program at RevMed which includes competitive cash compensation robust equity awards strong benefits and significant learning and development opportunities.

Revolution Medicines is an equal opportunity employer and prohibits unlawful discrimination based on race color religion gender sexual orientation gender identity / expression national origin / ancestry age disability marital status medical condition and veteran status.

Revolution Medicines takes protection and security of personal data very seriously and respects your right to privacy while using our website and when contacting us by email or phone. We will only collect process and use any personal data that you provide to us in accordance with our CCPA additional information please contact .

Base Pay Salary Range

$115000 $144000 USD

Key Skills

Fire Protection,Attorney At Law,Cost Estimation,Cloud Services,Art & Design

Employment Type : Full Time

Experience : years

Vacancy : 1