Job details

Bioinformatics Data Engineer

Revolution Medicines is a clinical-stage precision oncology company focused on developing novel targeted therapies to inhibit frontier targets in RAS-addicted cancers. The company’s 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 professionals in a tireless commitment to patients with cancers harboring mutations in the RAS signaling pathway.The Opportunity:In this role, you will work within our Translational Medicine group transferring, organizing, curating and disseminating biomarker data from clinical trial samples. This incoming data consists of a diverse mix of next-generation sequencing, downstream variant calls, imaging, and other molecular assay outputs. The bioinformatics data engineer will work on various projects in different phases of drug development and contribute to the cross-functional bioinformatics team which includes other bioinformaticians and data scientists. As a Bioinformatics Data Engineer in Translational Medicine, you will:• Act as a main liaison between internal scientists and external molecular diagnostic providers.• Be the primary point of contact for the data transfer process, establishing connections between our cloud storage and external file shares.• Help develop scripts and processes to clean, upload and accession biomarker data from clinical trails into internal systems for further analysis.• Carry out data modeling and curation to ensure data quality and relevance.• Collaborate with other departments to share and disseminate data in a controlled and documented manner.• Develop web-based data visualization dashboards using python and R frameworks.• Use and modify data analysis pipelines using nextflow and WDL.Required Experience, Skills, and Education:• Master’s or bachelor’s degree with 3+ years’ experience in biology/computer science related field.• Expertise using linux clusters, cloud computing and file systems.• Proficient in designing and querying databases using SQL and object-relational mapping techniques.• Skilled in utilizing Python and R for data manipulation and analysis.• Strong familiarity with bioinformatics data types and outputs.• Excellent communication skills, enabling effective collaboration and conveying technical information clearly to diverse audiences.Preferred Experience, Skills, and Education:• Experience using visualization packages such as R Shiny, PowerBI or similar systems.• Experience in biomarker data analysis and bioinformatics.• Familiarity with large genomic data sets (GDC, TCGA, etc.).• Experience in tools to analyze cancer genomics datasets (GATK, Salmon, OncoKB, VEP, etc.).• Development experience in groups using IDE’s, a ticketing system and software control systems (GIT).The expected salary range for this role is $120,000 to $145,000. An individual’s position within the range may be influenced by multiple factors, including skills and experience in role, overall performance, individual impact and contributions, tenure, and market dynamics. Base salary 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 Notice and Privacy Policy. For additional information, please contact privacy@revmed.com.

Average salary estimate

Estimate provided by employer

$32 / HOURLY (est.)

min

max

$15

$49

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Bioinformatics Data Engineer, Revolution Medicines

As a Bioinformatics Data Engineer at Revolution Medicines, based in Redwood City, CA, you will be at the forefront of innovation in precision oncology. Your role is vital in ensuring that the biomarker data from clinical trials is properly transferred and organized, allowing our talented Translational Medicine team to turn this information into breakthroughs for patients battling RAS-addicted cancers. You will collaborate closely with scientists and external molecular diagnostic providers, serving as the linchpin for data management and quality assurance. Your technical expertise in Python and R will come into play as you develop web-based data visualization dashboards, making complex data easy to grasp for your colleagues. You'll find yourself utilizing cloud storage solutions to streamline the data transfer process and using SQL for effective database management. With three or more years of experience in the biology or computer science fields, your background will position you to excel in this dynamic environment. Revolution Medicines is all about growth; we provide opportunities for you to advance your skills while contributing to the fight against cancer. Your work here will directly impact patients' lives, making your role not just a job, but a commitment to better health outcomes. If you are passionate about data engineering and eager to make a difference, we encourage you to join our mission!

Frequently Asked Questions (FAQs) for Bioinformatics Data Engineer Role at Revolution Medicines

What are the main responsibilities of a Bioinformatics Data Engineer at Revolution Medicines?

The Bioinformatics Data Engineer at Revolution Medicines is responsible for transferring, organizing, curating, and disseminating biomarker data from clinical trial samples. This role involves acting as the main liaison between internal scientists and external diagnostic providers, developing scripts for data cleaning and uploading, carrying out data modeling, and collaborating with various departments to ensure controlled dissemination of data.