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Java Python Developer Jobs

Revolution Medicines

Gilead Sciences

Onsite

Hybrid

<div class="content-intro">Revolution Medicines is a late-stage clinical oncology company developing novel targeted therapies for patients with RAS-addicted cancers. The company’s R&amp;D pipeline comprises RAS(ON) inhibitors designed to suppress diverse oncogenic variants of RAS proteins. The company’s RAS(ON) inhibitors daraxonrasib (RMC-6236), a RAS(ON) multi-selective inhibitor; elironrasib (RMC-6291), a RAS(ON) G12C-selective inhibitor; zoldonrasib (RMC-9805), a RAS(ON) G12D-selective inhibitor; and RMC-5127, a RAS(ON) G12V-selective inhibitor, are currently in clinical development. 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.</div>The Opportunity:
As an Executive Director and Head of Research Computational Biology within our Biology Function, the individual will oversee the scientific and strategic direction of systems biology research and preclinical computational biology initiatives. The individual will lead a team of computational biologists and bioinformaticians focused on acquisition, organization, and analysis of large multi-omics data sets, using both public and proprietary data sources, that will help inform treatment strategies and guide patient stratification for a growing pipeline of RAS(ON) and targeted oncology therapeutics. We are looking for an experienced leader with strong interpersonal skills and an ability to lead a strong and diverse computational biology team. Key aspects of the role include:
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<li>
Strategic vision and leadership: Develop and implement a long-term strategy for research systems biology and bioinformatic activities to support a growing pipeline of RAS(ON) and novel targeted inhibitors. Lead and supervise a team of experienced computational biologists and bioinformaticians to generate, organize, and interpret large data sets to inform therapeutic and combination strategies for patients with cancer.
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Cross-functional collaboration across research, translational, development and medical affairs groups: Work across functions to support advancement of programs from early discovery into clinical development using biological insights derived from computational approaches. Additionally, leverage clinical data from RVMD investigational agents to generate proprietary insights into RAS mutant tumor biology and RVMD RAS(ON) inhibitor mechanisms of action.
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Technical leadership and innovation: Lead a team analyzing large, high-dimensional datasets. Work with colleagues in Information Sciences and Information Systems to oversee data integration, analysis and visualization using cloud-based platforms (AWS, Azure, GCP). Direct the development and application of cutting-edge statistical analysis, AI/ML methods, generative AI models, and MLOps principles to elucidate findings and generate new insights related to biomarker discovery, drug target identification, and predictive modeling. Establish and implement modern workflow management systems (Snakemake, Nextflow) and reproducible research practices.
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External collaboration: Cultivate and manage academic and industry collaborations, including CRO partnerships. Represent the company at scientific conferences through presentations and thought leadership. Maintain an active publication record in high-impact, peer reviewed journals. Drive intellectual property strategy and patent filings related to computational discoveries.
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</ul>
Required Skills, Experience and Education:
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Education: A Ph.D. in systems biology, computational biology, bioinformatics, or a related biological or biomedical discipline.
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Experience: Minimum of 15+ years total experience with significant pharmaceutical/biotechnology industry and management experience.
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Scientific knowledge: Deep expertise in systems biology, computational biology, and bioinformatics, including proficiency with multi-omics data integration, modeling, and analysis. Experience with single-cell technologies, spatial transcriptomics, proteomics, and epigenomics. Oncology research experience preferred but not required.
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Technical: Advanced programming skills in R, Python, and at least one additional language (Perl, C/C++, Java). Proficiency with high-performance computing (HPC) and cloud platforms (AWS, Azure, or GCP). Knowledge of workflow management tools and version control systems. Understanding of MLOps principles, model deployment, and generative AI applications in drug discovery.
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Leadership and management: Demonstrated ability to lead, mentor, and inspire interdisciplinary teams while fostering a collaborative culture. Experience managing budgets and strategic planning at the department level. Proven track record of advancing research programs from discovery through development.
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Strategic thinking: Proven strategic thinker who can align research and drug development objectives and leverage innovative technologies effectively.
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Communication: Excellent communication and presentation skills for interacting with technical teams, senior leadership, and external partners. #LI-Hybrid&nbsp; #LI-GL1
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</ul><div class="content-pay-transparency"><div class="pay-input"><div class="description">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&nbsp;<a href="https://www.revmed.com/ccpa-notice">CCPA Notice</a>&nbsp;and&nbsp;<a href="https://www.revmed.com/privacy-policy">Privacy Policy</a>.&nbsp;For additional information, please contact&nbsp;<a href="mailto:privacy@revmed.com">privacy@revmed.com</a>.</div><div class="title">Base Pay Salary Range</div><div class="pay-range">$265,000&mdash;$331,000 USD</div></div></div><div class="content-conclusion"><hr>
We are aware of recent recruitment scams in which individuals or organizations falsely represent themselves as being affiliated with Revolution Medicines. These scams may appear as false job advertisements or unsolicited contacts through communication or chat platforms, email, phone, or text message. &nbsp; Please note that Revolution Medicines does not extend unsolicited employment offers and will never ask candidates to provide financial information, purchase equipment, or pay fees as part of the hiring process. All legitimate communication from Revolution Medicines will come from an official @revmed.com email address. &nbsp; If you believe you’ve been contacted by someone impersonating a Revolution Medicines recruiter, please report it to careers@revmed.com so we can share these impersonations with our IT team for tracking and awareness.
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&nbsp;</div>

Executive Director, Computational Systems Biology

PhD in systems/computational biology or related; 15+ years pharma/biotech, leadership; deep multi-omics, HPC/cloud, ML; strong communication.

<div class="content-intro">Revolution Medicines is a late-stage clinical oncology company developing novel targeted therapies for patients with RAS-addicted cancers. The company’s R&amp;D pipeline comprises RAS(ON) inhibitors designed to suppress diverse oncogenic variants of RAS proteins. The company’s RAS(ON) inhibitors daraxonrasib (RMC-6236), a RAS(ON) multi-selective inhibitor; elironrasib (RMC-6291), a RAS(ON) G12C-selective inhibitor; zoldonrasib (RMC-9805), a RAS(ON) G12D-selective inhibitor; and RMC-5127, a RAS(ON) G12V-selective inhibitor, are currently in clinical development. 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.</div>The Opportunity:
We are seeking a motivated Senior Scientist I to join our dynamic Computational Chemistry team.This position offers an exciting opportunity to drive drug discovery through cutting-edge&nbsp;computational methods, working at the intersection of structural biology, medicinal chemistry,&nbsp;biology, and data science to accelerate the development of transformative therapeutics for patients. As a key contributor in our Computational Chemistry team, you will:
<ul>
<li>
Partner with multidisciplinary, collaborative teams in Discovery Sciences to design, optimize, and accelerate the discovery of novel drug candidates using structure-based computational methods.
</li>
<li>
Analyze structure-activity relationships (SAR) and make data-driven decisions by systematically following existing SAR trends to guide compound prioritization and design strategies for Ro5 and bRo5 molecules.
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Partner closely with Medicinal Chemists to prioritize compound designs both independently and collaboratively, effectively communicating scientific rationale and recommendations to diverse interdisciplinary teams.
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Design and implement virtual screening workflows leveraging both structure-based and ligand based computational methods to discover novel hit compounds and accelerate lead optimization processes.
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Leverage advanced computational methodologies, including physics-based methods, generative models and machine learning approaches, to enhance understanding of SAR and drive Ro5 and bRo5 projects with timely decision making to ensure focus and delivery of key objectives.
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Provide innovative ideas and models to challenge and guide project roadmap while serving as lead computational chemistry representative on drug discovery pipeline projects
</li>
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Devise and execute strategies to augment our hit finding abilities for novel protein and protein protein targets, aid in designing diverse chemical libraries.
</li>
</ul>
Required Skills, Experience and Education:
<ul>
<li>
Ph.D. in computational chemistry or related field.
</li>
<li>
5+ years of computational chemistry experience in the biotechnology/pharmaceutical industry alongside a strong track record of positive impact in programs demonstrated by publications, patents, and/or presentations.
</li>
<li>
Expert-level knowledge of contemporary computational chemistry methods and their use in protein-ligand analysis and drug design such as docking, virtual screening, pharmacophore modeling, MD simulation, QM calculations etc.
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n-depth experience with computational chemistry, cheminformatics, data science, machine learning software.
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Scientific programming or scripting in Bash, Python, R, Java, C languages, or similar languages.
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Excellent oral and written communication skills. Experience in positively influence team decisions and effectively collaborate across multidisciplinary environments.
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Driven by a desire to be innovative and creative in a high energy, fast-paced environment.
</li>
</ul>
Preferred Skills:
<ul>
<li>
Experience with diverse Ro5 and bRo5 therapeutic modalities such as macrocycles and small molecules.
</li>
<li>
Working in HPC environments.
</li>
<li>
Strong publication history demonstrating computational chemistry expertise and innovation.
</li>
<li>
Familiarity with data visualization tools and analytics tools for effective communication of insights.
</li>
</ul>
#LI-Hybrid #LI-LN1<div class="content-pay-transparency"><div class="pay-input"><div class="description">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&nbsp;<a href="https://www.revmed.com/ccpa-notice">CCPA Notice</a>&nbsp;and&nbsp;<a href="https://www.revmed.com/privacy-policy">Privacy Policy</a>.&nbsp;For additional information, please contact&nbsp;<a href="mailto:privacy@revmed.com">privacy@revmed.com</a>.</div><div class="title">Base Pay Salary Range</div><div class="pay-range">$149,000&mdash;$186,000 USD</div></div></div><div class="content-conclusion"><hr>
We are aware of recent recruitment scams in which individuals or organizations falsely represent themselves as being affiliated with Revolution Medicines. These scams may appear as false job advertisements or unsolicited contacts through communication or chat platforms, email, phone, or text message. &nbsp; Please note that Revolution Medicines does not extend unsolicited employment offers and will never ask candidates to provide financial information, purchase equipment, or pay fees as part of the hiring process. All legitimate communication from Revolution Medicines will come from an official @revmed.com email address. &nbsp; If you believe you’ve been contacted by someone impersonating a Revolution Medicines recruiter, please report it to careers@revmed.com so we can share these impersonations with our IT team for tracking and awareness.
<hr>
&nbsp;</div>

Senior Scientist I, Computational Chemistry

Scientist

Ph.D. in computational chemistry; 5+ years in biotech/pharma; expert in docking, virtual screening, MD, QM; programming; strong communication.

At Gilead, we’re creating a healthier world for all people. For more than 35 years, we’ve tackled diseases such as HIV, viral hepatitis, COVID-19 and cancer – working relentlessly to develop therapies that help improve lives and to ensure access to these therapies across the globe. We continue to fight against the world’s biggest health challenges, and our mission requires collaboration, determination and a relentless drive to make a difference.  Every member of Gilead’s team plays a critical role in the discovery and development of life-changing scientific innovations. Our employees are our greatest asset as we work to achieve our bold ambitions, and we’re looking for the next wave of passionate and ambitious people ready to make a direct impact.  We believe every employee deserves a great leader. People Leaders are the cornerstone to the employee experience at Gilead and Kite. As a people leader now or in the future, you are the key driver in evolving our culture and creating an environment where every employee feels included, developed and empowered to fulfil their aspirations. Join Gilead and help create possible, together. Job Description  We are seeking a highly talented and motivated Principal Bioinformatics Scientist to take a lead role in statistical analysis of multi-omics and next generation sequencing data to support research projects from target evaluation to biomarker discovery with a focus in immune oncology and cancer biology. The successful candidate will have the chance to work in a fast-paced and highly collaborative environment and impact high-level decision-making on internal pipeline and external collaboration. The scientist will be responsible for developing and employing rigorous statistical modeling and cutting-edge bioinformatics methods to perform integrative large scale omics dataset analysis to enable research objectives. The successful candidate will be able to formulate scientific questions into coherent analytical efforts and communicate analysis results and scientific findings to project teams and across different research functions. This role will sit in Foster City, CA.  Essential Functions:<ul><li>Develop and apply statistical and computational tools to analyze large scale omics and high dimensional data from internal, publicly available, commercial, and real-world datasets to enable novel target identification, target assessment, MoA elucidation, drug combination rationale, and patient stratification, etc.</li><li>Design and apply statistical techniques and machine learning algorithms to enable the discovery and evaluation of preclinical predictive and prognostic biomarkers for oncology projects.</li><li>Collaborate with cross-functional teams to analyze and interpret complex large datasets and efficiently communicate findings to non-computational scientists and senior leaders.</li></ul> Basic Qualifications: Bachelor&#39;s Degree and Eight Years’ ExperienceORMasters&#39; Degree and Six Years’ ExperienceOR Ph.D. Preferred Qualifications:<ul><li>Extensive hands-on experience in analyzing and interpreting RNA-Seq (bulk and single cell), WES, WGS, ATAC-Seq, CITE-Seq, and TCR-Seq data is required. The experience in analyzing other omics data (e.g., spatial transcriptome, Chip-Seq, MeRIP-seq, NanoString, multiplex qPCR, HT screening data sets) is a plus.</li><li>Strong statistics knowledge, such as probability theory, univariate and multi-variable analysis, unsupervised and supervised analysis, regression analysis, survival analysis, feature selection, and power analysis. Excellent oral and written communication skills. Demonstrated capability to synthesize scientific questions into a coherent research effort and efficiently communicate scientific findings across different functional teams and present analysis results to project review teams and senior leader committees. A proactive and self-motivated scientist with a strong work ethic and scientific rigor; ability to work in a dynamic environment and manage multiple projects in parallel and adapt to changing priorities. Demonstrated track record of producing high-quality scientific results as an individual contributor and a team member.</li><li>A PhD in bioinformatics, computational biology, biostatics, cancer genomics, or a related field with 8&#43; years of relevant work experience in pharmaceutical/biotech inudstry. </li><li>Excellent interpersonal and communication skills that foster collaboration and teamwork.</li><li>Good understanding of cancer biology, immunology, molecular and cell biology.</li><li>Proficiency in R, Python, Perl, JAVA, or C/C&#43;&#43; programming languages.</li><li>Proficiency in high performance computing and cloud computing environments. Outstanding track record of scientific and technical proficiency, evidenced by high quality publications in peer-reviewed journals.</li></ul>People Leader Accountabilities<ul><li>Create Inclusion - knowing the business value of diverse teams, modeling inclusion, and embedding the value of diversity in the way they manage their teams.</li><li>Develop Talent - understand the skills, experience, aspirations, and potential of their employees and coach them on current performance and future potential. They ensure employees are receiving the feedback and insight needed to grow, develop, and realize their purpose.</li><li>Empower Teams - connect the team to the organization by aligning goals, purpose, and organizational objectives and holding them to account. They provide the support needed to remove barriers and connect their team to the broader ecosystem.</li></ul><ul><li></li></ul>  The salary range for this position is: $195,670.00 - $253,220.00. Gilead considers a variety of factors when determining base compensation, including experience, qualifications, and geographic location. These considerations mean actual compensation will vary. This position may also be eligible for a discretionary annual bonus, discretionary stock-based long-term incentives (eligibility may vary based on role), paid time off, and a benefits package. Benefits include company-sponsored medical, dental, vision, and life insurance plans*.For additional benefits information, visit: <a href="https://www.gilead.com/careers/compensation-benefits-and-wellbeing" target="_blank">https://www.gilead.com/careers/compensation-benefits-and-wellbeing</a>* Eligible employees may participate in benefit plans, subject to the terms and conditions of the applicable plans.<h2> For jobs in the United States:</h2>Gilead Sciences Inc. is committed to providing equal employment opportunities to all employees and applicants for employment, and is dedicated to fostering an inclusive work environment comprised of diverse perspectives, backgrounds, and experiences. Employment decisions regarding recruitment and selection will be made without discrimination based on race, color, religion, national origin, sex, age, sexual orientation, physical or mental disability, genetic information or characteristic, gender identity and expression, veteran status, or other non-job related characteristics or other prohibited grounds specified in applicable federal, state and local laws. In order to ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veterans&#39; Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact <a href="mailto:ApplicantAccommodations&#64;gilead.com" target="_blank">ApplicantAccommodations&#64;gilead.com</a> for assistance. For more information about equal employment opportunity protections, please view the <a href="https://www.eeoc.gov/employers/eeo-law-poster" target="_blank">&#39;Know Your Rights&#39;</a> poster.<a href="http://www.dol.gov/whd/regs/compliance/posters/eppac.pdf" target="_blank">NOTICE: EMPLOYEE POLYGRAPH PROTECTION ACT</a> <a href="http://www.dol.gov/whd/regs/compliance/posters/fmlaen.pdf" target="_blank">YOUR RIGHTS UNDER THE FAMILY AND MEDICAL LEAVE ACT</a> Gilead Sciences will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, (c) consistent with the  legal duty to furnish information; or (d) otherwise protected by law.  Our environment respects individual differences and recognizes each employee as an integral member of our company. Our workforce reflects these values and celebrates the individuals who make up our growing team. Gilead provides a work environment free of harassment and prohibited conduct. We promote and support individual differences and diversity of thoughts and opinion.<h2> For Current Gilead Employees and Contractors:</h2>Please apply via the Internal Career Opportunities portal in Workday.

Principal Scientist, Oncology Bioinformatics

Principal Scientist

Lead statistical analysis of multi-omics and NGS data for oncology; develop and apply bioinformatics methods; collaborate with cross-functional teams.

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