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 Engineerin Translational Medicine, you will: <ul><li>Act as a main liaison between internal scientists and external molecular diagnostic providers.</li><li>Be the primary point of contact for the data transfer process, establishing connections between our cloud storage and external file shares.</li><li>Help develop scripts and processes to clean, upload and accession biomarker data from clinical trails into internal systems for further analysis.</li><li>Carry out data modeling and curation to ensure data quality and relevance.</li><li>Collaborate with other departments to share and disseminate data in a controlled and documented manner.</li><li>Develop web-based data visualization dashboards using python and R frameworks.</li><li>Use and modify data analysis pipelines using nextflow and WDL.</li></ul> Required Experience, Skills, and Education: <ul><li>Master's or bachelor's degree with 3+ years' experience in biology/computer science related field.</li><li>Expertise using linux clusters, cloud computing and file systems.</li><li>Proficient in designing and querying databases using SQL and object-relational mapping techniques.</li><li>Skilled in utilizing Python and R for data manipulation and analysis.</li><li>Strong familiarity with bioinformatics data types and outputs.</li><li>Excellent communication skills, enabling effective collaboration and conveying technical information clearly to diverse audiences.</li></ul> Preferred Skills: <ul><li>Experience using visualization packages such as R Shiny, PowerBI or similar systems.</li><li>Experience in biomarker data analysis and bioinformatics.</li><li>Familiarity with large genomic data sets (GDC, TCGA, etc.).</li><li>Experience in tools to analyze cancer genomics datasets (GATK, Salmon, OncoKB, VEP, etc.).</li><li>Development experience in groups using IDE's, a ticketing system and software control systems (GIT).</li></ul> The base salary range for this full-time position is $120,000 to $145,000 for candidates based at our headquarters in Redwood City, CA. The range displayed on each job posting is intended to be the minimum and maximum salary for the position in Redwood City and will be adjusted for the local market a candidate is based. Our salary ranges are determined by role, level, and location. Individual pay is determined by multiple factors, including job-related skills, experience, market dynamics, and relevant education or training. Please note that 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. #LI-Hybrid #LI-JC1

About Karius Karius is a venture-backed life science startup that is transforming the way pathogens and other microbes are observed throughout the body. By unlocking the information present in microbial cell-free DNA, we're helping doctors quickly solve their most challenging cases, providing industry partners with access to 1000's of biomarkers to accelerate clinical trials, discovering new microbes, and reducing patient suffering worldwide. Position Summary We are seeking a seasoned Staff data engineer to drive data platform initiatives across the data value chain at Karius. We develop and operate AI-driven data analytics pipelines to deliver life-saving results in the highly complex infectious disease landscape. In this role, you will have the opportunity to develop and optimize the data platform to enable our users to extract insights from large amounts of commercial, operational, genomic, and clinical data, ultimately providing actionable insights that serve the business and patients. You will be able to incorporate the next generation of AI technologies and tools (e.g. Generative AI) into the Karius data platform to significantly increase delivered value to internal stakeholders and our customers. Why Should You Join Us? Karius aims to conquer infectious diseases through innovations around genomic sequencing and machine learning. The company's platform is already delivering unprecedented insights into the microbial landscape, providing clinicians with a comprehensive test capable of identifying more than a thousand pathogens directly from blood, and helping industry accelerate the development of therapeutic solutions. The Karius test we provide today is one of the most advanced solutions available to physicians who aim to deliver better care to many otherwise ineffectively treated patients. Our test is the result of some incredible work done by our scientists, statisticians, engineers, and physicians, all driven by the same mission. You, as part of the Karius team, will be able to see how directly your work has a life-changing impact on people, and at scale. Reports to: Sr. Manager, Analytical Systems & Data Insights *This position is not open to agency support at this time. Agencies, please contact recruiting@kariusdx.com and not the hiring manager for inquiries. Location: Redwood City, CA (Hybrid) Primary Responsibilities •Data Platform Development: Design, develop, test, deploy, and maintain production-grade platforms and tooling that add value across the data lifecycle (ingest, transform, serve) for various use cases such as reporting, data analytics, machine learning, and bioinformatics. Examples of projects you will own and drive: - Data Architecture: Ensure centralized, standardized, and secure data access across business domains. - Data Pipelines and Reporting: Combine internal (including PHI) and external data sources via ETL/ELT tooling to calculate operational and commercial KPIs for data analysis and reporting use-cases, catalyzing insight generation. - ML/AI Data Platform Capabilities: Provide support for computational teams to drive value from clinical and genomic data assets through the ML lifecycle and data science tooling Generative. - Generative AI Integrations: Implement generative AI solutions to increase the value and usability of Karius data assets across use-cases such as data pipelining, data discovery, knowledgebase search, and conversational analytics. •Project Management: Proactively interface with cross-functional technical and non-technical stakeholders to identify unmet needs, ensure alignment with data initiatives (scope, timelines, deliverables), and communicate results and outcomes. •Collaboration: Coordinate with the engineering and IT domains to understand, interface with, and extend production data and software systems using engineering best practices. •Data Governance: Inform, implement, and follow data governance best practices and policies in conjunction with the Security and Compliance team to meet regulatory and legal requirements. •Continuous Improvement: Foster a growth mindset and self-starter attitude, continually seeking opportunities for process and system improvements with a focus on quality, practicality, and delivered value *Note that job duties and responsibilities may evolve based on company needs and technological advancements. What's Fun About the Job? Karius is operating at the edge of what is now known to be possible in infectious disease diagnostics. With that, comes a wave of new and incredible challenges and opportunities. To deliver on that value, you will be tapping into some of the most advanced technologies, architecting and innovating where the current solutions simply don't suffice. You will get to see how much your work really matters. Travel: No travel required Physical Requirements Subject to extended periods of sitting and/or standing, vision to monitor and moderate noise levels. Work is generally performed in an office environment. Position Requirements We are seeking a data engineer with exceptional system thinking. Critical to this role is the ability to grasp business needs, identify the complexity and interconnections of data elements, and determine the desired insights to extract. The ideal candidate will excel in translating business requirements into a technical roadmap and developing remarkable solutions to satisfy those needs. Educational Background •B.S. degree in Computer Science, Software Engineering, Electrical Engineering, Bioengineering, or related technical fields involving algorithms or coding (e.g., Physics or Mathematics). Professional Experience •10+ years of data engineering / software development experience with at least 5 years of relevant experience in building enterprise-scale data platforms. Technical Skills •Data Platforms and Cloud Services: Hands-on experience with data platforms (e.g. Databricks - strongly preferred, Snowflake) and cloud services (e.g AWS - strongly preferred, GCP, Azure). •Data Integration and Pipelines: - ETL/ELT tooling: Experience with ETL/ELT tools (e.g. Fivetran, Stitch, Airbyte) for integrating internal and third-party data sources - Batch and Stream Processing: Experience in building scalable infrastructure for batch processing (e.g., Spark, Hadoop) and stream processing (e.g., Kafka, Kinesis) for large volumes of data •Developer Toolset: Proficiency in programming languages for data engineering (i.e. Python and SQL) applied in conjunction with SDLC principles and developer practices (e.g. code/data version control, containerization, CI/CD, IaC, automated testing, monitoring/alerting). •Data Modeling and Architecture: Strong conceptual understanding of data modeling and practical experience with enterprise data models and data architecture components (e.g. databases, warehouse, lake, lakehouse, catalog). •Reporting and Visualization: Experience with reporting and dashboard tools (e.g. Looker, Streamlit, Tableau, PowerBI, Hex, Dash). •ML Tooling: Familiarity with data science tooling such as notebooks, standard data processing/visualization libraries (e.g. pyspark, pandas, numpy, scipy, plotly, seaborn, matplotlib, altair), and ML tooling (e.g. MLflow, SageMaker). •Generative AI: Working knowledge of generative AI concepts and hands-on experience with frameworks and tooling (e.g. LangChain, LlamaIndex, OpenAPI, RAG, vector databases, agents, Bedrock). •Data Governance and Compliance: Demonstrated experience in implementing and maintaining data governance and compliance frameworks, including handling Protected Health Information (PHI) and adhering to regulatory standards. Non-Technical Skills •Ability to work in a fast-paced, dynamic startup environment •Ability to balance quality and speed when building engineering systems. •Strong organizational and time management abilities. •Excellent communication and collaboration skills. •Attention to detail and commitment to delivering high-quality solutions Nice-to-haves •Experience working in the healthcare or life sciences industries, especially within a diagnostics setting. •Experience deploying generative AI products into production environments. •Familiarity with genomics datasets and bioinformatics pipelines. Personal Qualifications We want to add a humble, curious, and collaborative member to our team. At the Karius engineering team, we highly value deep domain expertise, drive for innovation, desire to collaborate, being open to learning and unlearning, and passion for solving hard problems with a meaningful impact on the world. A sense of ownership and personal/group accountability allows us to be a productive and high-performing team. If you share our vision we would like to have you on board. Disclaimer The above job description is intended to describe the general nature and level of work being performed by individuals assigned to this position. It is not intended to be an exhaustive list of all duties, responsibilities, and skills required. Responsibilities and duties may change or be adjusted to meet the needs of the company, and additional duties may be assigned as necessary. The job description is subject to change at any time at the discretion of Karius. At Karius, we value a diverse and inclusive workplace and provide equal employment opportunities for all applicants and employees and are committed to honor and invest in the full diversity of people, in our hiring, recruiting and development of employees across the Company. All qualified applicants for employment are encouraged to apply and will be considered without regard to an individual's race, color, sex, gender identity and gender expression (including transgender individuals who are transitioning, have transitioned, or are perceived to be transitioning to the gender with which they identify), religion, age, national origin or ancestry, citizenship, physical or mental disability, medical condition, family care status, marital status, domestic partner status, sexual orientation, genetic information, military or veteran status, or any other basis protected by federal, state or local laws. If you are unable to submit your application due to a disability, please contact us at recruiting@kariusdx.com and we will accommodate qualified individuals with disabilities. $165,000 - $248,000 a year

About Moloco: Moloco is a machine learning company empowering organizations of all sizes to grow and unlock the full value of their unique first-party data, elevating the traditional path to performance advertising. While the largest technology companies have proven the speed and scale of ad-targeting utilizing data- the same robust performance powered by machine learning has previously been unavailable beyond their platforms. That's where Moloco steps in. With Moloco's powerful combination of cutting-edge machine learning technologies, we play a unique and visible role in shaping the digital economy, all while allowing companies to stay independent and scale. An industry leader at the nexus of machine learning, performance marketing, and visionary product infrastructure, Moloco is advancing the advertising technology industry. We ranked in the top 10% in the Inc. 5000 fastest-growing private companies for 2023. Recognized as one of 46 leading Cloud Computing companies, receiving the Stratus Award for 2023. In 2023, we received Google's Cloud DevOps Dreamers Award, a recognition given to companies that are implementing DevOps practices to drive organizational success and high performance. Lastly, Moloco is a 2024 certified Great Place to Work! Check us out on Glassdoor and be sure to get an inside look at working at Moloco on Instagram, Twitter, and YouTube. Moloco is headquartered in Silicon Valley, with offices in San Francisco, New York, Los Angeles, Seattle, London, Berlin, Seoul, Singapore, Beijing, Gurgaon, and Tokyo. Creating a diverse workforce and a culture of inclusion and belonging is core to our existence. To reach our goals, diversity of talent and thought is a critical component to how we operate as an organization. Our workforce is our superpower, and we know that fostering a culture of inclusion, authenticity, and belonging will allow us the greatest opportunity to carry out our missionto empower businesses of all sizes to grow through operational machine learning. Moloco is a truly rewarding place to work and in an exciting period of growth, which you could be a part of. Join us today and apply now! The Impact You'll Be Contributing to Moloco: <ul><li>You will be responsible for developing an ML-based online advertising platform for the rapidly growing retail media industry.</li><li>You will play a pivotal role designing, developing and optimizing the data infrastructure and pipelines to build robust and scalable solutions.</li><li>You will mentor others on the team and have the opportunity to lead high impact projects.</li></ul> The Opportunity: <ul><li>Design and develop complex data pipelines and ETL processes for manipulating and managing big data.</li><li>Improve cost effectiveness on the data pipelines, storages, and databases, directly and/or in collaboration with full-time developers across teams.</li><li>Design and implement data quality and governance processes to ensure data accuracy, consistency, and compliance.</li><li>Enhance our system in various aspects including but not limited to scalability, availability, and performance. </li><li>Develop internal tools to enhance developer productivity and system efficiency.</li><li>Participate in cross-functional projects and initiatives, offering technical expertise and guidance.</li><li>Collaborate with other teams, including but not limited to Infra, Machine Learning, Data Science and Analytics, and production, to help Moloco build the best ad platform.</li></ul> How Do I Know if the Role is Right For Me? <ul><li>7+ years software engineering experience using one or more modern languages such as Java, C#, Go, C++, Python, etc along with advanced proficiency in SQL and SQL or NoSQL database technologies.</li><li>Working with computer systems architecture, operating systems, or distributed systems.</li><li>Extensive experience with cloud platforms (e.g., AWS, Azure, Google Cloud), or equivalent on-premise systems.</li><li>Programming fundamentals, testing, and common algorithms and structures</li><li>System Design and development skills</li><li>Working with at least one of the following: data modeling, analytics, management, or big data processing/MapReduce.</li><li>Strong analytical troubleshooting skills</li><li>Growth mindset, with a passion for staying updated on emerging technologies and industry trends, and a willingness to share knowledge and mentor others</li><li>Excellent communication and collaboration skills</li></ul> Our Compensation And Benefits (for United States Residents Only) In accordance with various state laws, the range provided is a reasonable estimate of the base compensation for this role. The actual amount may be higher or lower, based on non-discriminatory factors such as experience, knowledge, skills, and abilities. We also offer a competitive benefits package. Base Compensation Range: $155,000-$225,000 USD Moloco Thrive: Benefits and Well-Being: We take care of you and create the conditions for you to do the best work of your career. Through a lens of Inclusion, we offer innovative benefits which empower our employees to take care of themselves and their families so they can do the best work of their lives. For an overview of our global benefits, click here. Moloco Values: <ul><li>Lead with Humility: Everyone's voice is respected, valued, and heard. With humility, we become more open and accessible to each other. We win, lose, and learn together. Accountability and feedback are essential to our success.</li><li>Uncapped Growth Mindset: We see all situations as opportunities to learn, grow, and improve as individuals and as an organization. We seek diverse perspectives, encourage curiosity, and promote experimentation to push the boundaries of what's possible.</li><li>Create Real Value: We pursue the most impactful opportunities with rigor and integrity. We take intelligent risks and make disciplined trade-offs to maintain deep focus. We help our customers win by delivering durable value.</li><li>Go Further Together: We're one team working towards one mission and vision. We collaborate proactively and inclusively, involving the right people at the right time and in the right way. We strive to create a more equitable workplace. We won't let each other fail.</li></ul>Additional Resources: <ul><li>Moloco Company Blog</li><li>Moloco Leadership</li><li>Moloco Newsroom</li></ul>Equal Opportunity: Moloco is an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, color, creed, religion, national origin, age, sex and gender, gender expression and gender identity, sexual orientation, marital status, ancestry, physical or mental disability, military and veteran status, or any other characteristic protected by law. Candidate Privacy Notice: Your privacy matters to us. By applying, you acknowledge that you've reviewed our Candidate Privacy Notice.

Data Engineer Jobs in Redwood City, CA

Bioinformatics Data Engineer
October 16, 2024

Staff Data Engineer
October 12, 2024

Senior Software Engineer Data Engineering Moloco Commerce Media
October 12, 2024

Senior Software Engineer Data Engineering Moloco Commerce Media
October 5, 2024

Senior Data Engineer Education
October 5, 2024

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Data Engineer Jobs in Redwood City, CA

Bioinformatics Data EngineerOctober 16, 2024

Staff Data EngineerOctober 12, 2024

Senior Software Engineer Data Engineering Moloco Commerce MediaOctober 12, 2024

Senior Software Engineer Data Engineering Moloco Commerce MediaOctober 5, 2024

Senior Data Engineer EducationOctober 5, 2024