The Opportunity:

This role represents a unique opportunity to serve as a senior scientific and strategic leader within Cancer Immunology, with primary responsibility for driving the discovery and advancement of novel immuno-oncology targets and therapeutic modalities. We are seeking an accomplished leader who combines deep scientific expertise with strong people leadership to shape strategy, guide portfolio decisions, and advance high-impact discovery programs.

The successful candidate will lead a multidisciplinary team to progress innovative immuno-oncology programs from early discovery through Development Candidate nomination, while providing senior oversight of scientific integration across Discovery and Translational Cancer Immunology. This role reports to the Vice President and Head of Cancer Immunology and partners closely with Research and Development leadership to support portfolio prioritization and governance. Key aspects of the role include:

• Discovery Program Leadership & Protfolio Oversight: Provide executive-level leadership of Cancer Immunology discovery programs from project qualification through Development Candidate nomination. Drive the identification and validation of novel immuno-oncology targets, ensuring seamless progression of programs into Translational Cancer Immunology.

• Scientific Strategy & Platform Leadership: Define and evolve the scientific vision and long-term strategy for Cancer Immunology discovery. Provide senior oversight of the development and optimization of experimental platforms, including in vitro and in vivo models, phenotypic screening, and advanced assay toolkits. Champion the exploration and implementation of new therapeutic modalities, such as TCEs, ADCs, and bispecifics.

• Scientific Integration & Operational Excellence: Provide senior oversight of scientific integration across Discovery and Translational Cancer Immunology, ensuring operational rigor, platform support, and alignment of resources. Leverage enabling functions and data-driven insights to enhance experimental design, reproducibility, and program execution. Promote the development and deployment of modern data systems and analytics to advance scientific and operational excellence, enabling the establishment of a digitally empowered Cancer Immunology team within the broader organization.

• Cross-functional Collaboration: Act as a key partner to Research Leadership to support advancement of programs from early discovery into the clinical development portfolio. Foster collaboration across multidisciplinary teams to ensure that discovery efforts, platform capabilities including data platforms, and translational priorities are coordinated and integrated.

• Team Leadership & Mentorship: Lead, mentor, and inspire a multidisciplinary team of PhD and non-PhD scientists. Cultivate a culture of scientific excellence, innovation, and collaboration.

• External Engagement: Spearhead collaborations with academic partners and external organizations. Partner with key stakeholders to define publication strategies and support advancement of the company’s scientific reputation in the field.

Required Skills, Experience, and Education:

• Education & Scientific Expertise: Ph.D. in immunology, cancer biology, or a related discipline, with deep expertise in tumor immunology, immune-evasive oncogenic signaling pathways, and/or immunotherapy. Demonstrated track record of excellence in research, evidenced by high-impact publications.

• Industry Experience: 20+ years of post-PhD experience in biomedical research and oncology drug discovery, including substantial experience in biotech or pharmaceutical settings. Demonstrated leadership in oncology drug discovery and development, including experience with antibody-directed therapies such as T cell engagers, ADCs, or bispecific antibodies, is required. Experience setting early discovery strategy is highly desirable.

• Senior Leadership & Organizational Impact: Proven ability to lead complex, multidisciplinary organizations and influence across functions and levels. Demonstrated experience in portfolio decision-making, program governance, and developing scientific leaders.

• Strategic & Analytical Thinking: Enterprise-level strategic thinker capable of prioritizing initiatives, anticipating challenges, and executing effectively in a dynamic, high-energy environment. Rigorous, quantitative, and detail-oriented experimentalist.

• Collaboration & Communication: Thrives in a collaborative, interdisciplinary team setting. Excellent written and verbal communication skills, with the ability to influence and align diverse stakeholders.

Preferred Skills:

• Experience with chemistry-based therapies, including small molecules or ADC payloads.

• Familiarity with bioinformatics-driven discovery and integrating computational insights into experimental design.

• Demonstrated proficiency with modern data platforms, machine learning approaches, and advanced analytics to support Cancer Immunology research and decision-making.

• Prior experience as a Program Team Leader, with a track record of driving cross-functional strategy and execution across discovery and development stages.

 #LI-Hybrid  #LI-LN1

The Opportunity:

Discovery Sciences & Technologies is an integrated functional discovery team that supports a growing oncology and immuno-oncology portfolio. This role is for an experienced drug discovery scientist who can provide hands-on scientific and people leadership across functional discovery, cell-based assays, and screening strategies from hit identification through progression. The position sits at the intersection of assay development, screening, and multiparametric data analysis, translating molecular perturbations into actionable biological insight to enable data-driven target and program decisions. In this role you will:

• Be a key contributor to discovery project teams, partnering closely with Medicinal Chemistry, Structural Biology, Discovery Biology, Screening, and other functions to drive progression from hit identification through lead generation.

• Design and execute predictive screening strategies linking small-molecule perturbation to mechanistic pathway modulation and functional cellular outcomes.

• Provide hands-on scientific leadership across functional discovery and cell-based screening, spanning assay development, cellular target engagement, hit discovery and follow-up, with direct contribution to the development, optimization, and interpretation of biochemical, biophysical, and cellular assays including in vitro pharmacology.

• Lead efforts to generate and interpret multiparametric and multi-modal biological data sets (e.g., imaging, transcriptomics, other complex cellular readouts) to drive actionable insights.

• Partner cross-functionally to align experimental strategy, prioritization, and execution.

• Mentor and develop scientists through hands-on technical guidance, coaching, and feedback, strengthening experimental rigor, scientific judgment, and team impact.

Required Skills, Experience and Education:

• PhD in pharmacology, cell-biology, biochemistry, or a related scientific discipline.

• Minimum of 10 years of industry experience in early-stage drug discovery.

• Demonstrated breadth of experience across multiple stages of discovery with substantial experience in early stages including target identification and validation, hit discovery, hit follow-up and lead generation.

• Experience integrating in vitro biochemical, biophysical, and cellular data to develop mechanistic understanding and inform project decisions.

• Track record of participating on cross-functional project teams in a matrixed discovery environment as a leader and as a contributor.

• Strong experimental design, data interpretation, and problem-solving skills.

• Experience managing scientific teams and demonstrated ability to mentor and develop scientists through technical leadership and scientific coaching.

• Excellent communication skills and ability to influence across disciplines.

Preferred Skills:

• Experience with multiparametric or high-content cellular assays, including imaging-based approaches.

• Familiarity with multi-omics data (e.g., transcriptomics) and their application in early discovery.

• Experience partnering with Advanced Analytics, Systems Biology, or Computational Biology and AI/ML teams.

• Experience contributing to go/no-go decisions at project or portfolio review stages

• Familiarity with oncology drug discovery. #LI-Hybrid  #LI-LN1

The Opportunity:

As a Scientist II in the Cancer Pharmacology team within the Translational Research group, in the Biomedical Discovery Research Department, you will:

• Contribute to advancing RAS(ON) inhibitor programs by applying cancer pharmacology and tumor biology expertise, with a focus on mechanistic understanding of RAS biology.

• Design, execute, and interpret in vivo efficacy and PK/PD studies (internally and via CROs) to support forward and reverse translation of RAS(ON) inhibitors

• Collaborate with the cross-functional quantitative modeling group, providing data, biological context, and critical evaluation to support translational PK/PD modeling (no requirement for hands-on mathematical model experience).

• Analyze, interpret, and communicate data clearly to internal teams and external scientific audiences.

• Maintain high-quality documentation, protocols, and data integrity.

Required Skills, Experience and Education:

• Ph.D. in pharmacology or cancer biology, or a related discipline with direct relevance to oncology drug development.

• 2+ years of relevant postdoc or industry experience in cancer drug discovery and development.

• Solid knowledge of tumor biology and RAS signaling pathways

• Demonstrated experience in designing, executing and analyzing in vivo experiments with oncology disease models.

• Working knowledge of PK and PK/PD relationships, with the ability to analyze and interpret data.

• Rigorous and detail-oriented with proven excellence in experimental design, data analysis, data management, and presentation.

• Excellent written and verbal communication skills. Able to effectively communicate results to non-specialist and specialist audiences.

• Thrives in a collaborative team setting and is driven by a desire to be innovative in a dynamic and fast-paced environment.

Preferred Skills:

• Familiarity with RAS biology and RAS-targeted therapies

• Experience with designing and executing PKPD studies in tumor models.

• An understanding of preclinical to clinical translational concepts desired.

• Strong track record of research productivity as evidenced by high-quality, impactful publications.

• A strong theoretical understanding of the core concepts, assumptions, and limitations associated with PK/PD mathematical modeling.

#LI-Hybrid   #LI-NE1

The Opportunity:

We are looking for motivated structural biologist to join tour team to support multiple oncology therapeutic programs. The ideal candidate will have previous, hands-on experience in sample preparation, data acquisition and data analysis from both X-ray crystallography and cryo-EM. They will apply their expertise to form compound driven complexes, identify, and optimize crystallization/CryoEM conditions with the aim of determining high resolution structural information to drive small molecule design and mechanistic understanding. We’re seeking a team player with enthusiasm to work in an interdisciplinary setting to drive toward new, cutting edge oncology therapeutics. 

Responsibilities

• Plan and execute experiments with the aim of determining small molecule driven multi-protein complex structures by CryoEM and X-ray crystallography.

• Perform cryo-EM grid screening, optimization, data collection and refinement to enable high-quality structure determination.

• Interact with interdisciplinary teams (including chemists, computational chemists, biologists, project teams, and management) and clearly articulate structural data in a broader drug discovery context.

• Maintain excellent records and communication among internal and external colleagues.

• Be driven by a desire to be innovative in a high energy, fast paced environment and work collaboratively with a variety of collegues across the organization.

Required Skills, Experience and Education:

• PhD in structural biology or protein biochemistry or a related scientific discipline with 2-5 years of post-doctoral experience.

• Hands-on experience and expertise in cryo-EM sample optimization and grid preparation, data collection, map generation, and structure determination.

• Strong track record of solving challenging CryoEM problems such as preferred orientation, small proteins/complexes, modeling into low resolution maps, or iterative rounds of protein optimization.

• Hands on experise with modern software packages for data collection, refinement and visualization of structural biology data, and the ability to seamless switch between them based on need (e.g. CryoSPARC, RELION, Phenix, REFMAC, Coot, ChimeraX, Pymol).

• Excellent written, verbal communication, interpersonal and organization skills.

• Conscientious team-player interested in a fast-paced biotech environment.

Preferred Skills:

• Hands-on experience and expertise in protein crystallization, crystal optimization and harvesting for data collection.

• Experience with biophysical characterization methods, including mass spectrometry, SEC-MALS, DLS, SPR, NMR and thermal shift assays.

• Experience with protein-protein complexes including antibodies/Fabs, molecular glues, PROTACs, etc.

• Experience working in a multidisciplinary team environment.

• Experience in gene construct design, expression and purification of recombinant proteins. 

  #LI-Hybrid  #LI-LN1

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:

• 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.

• 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.

• 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.

• 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.

Required Skills, Experience and Education:

• Education: A Ph.D. in systems biology, computational biology, bioinformatics, or a related biological or biomedical discipline.

• Experience: Minimum of 15+ years total experience with significant pharmaceutical/biotechnology industry and management experience.

• 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.

• 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.

• 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.

• Strategic thinking: Proven strategic thinker who can align research and drug development objectives and leverage innovative technologies effectively.

• Communication: Excellent communication and presentation skills for interacting with technical teams, senior leadership, and external partners. #LI-Hybrid  #LI-GL1

The Opportunity:

We are looking for a summer intern to join the Structural Biology team and support multiple oncology therapeutic programs. Working from the bench, they will hone their skills in protein purification, production and harvesting of protein-small molecule co-crystals, and other core structural biology wetlab and computational techniques.

Required Skills, Experience and Education:

• Undergraduate biochemistry lab experience, either coursework or research under the supervision of graduate student/professor

• Completion of organic chemistry and familiarity with small molecule representations and functional groups

• Experience with protein handling, characterization, and storage (FPLC or HPLC techniques like SEC and affinity chromatography. PAGE, quantitation via Bradford and nanodrop etc.).

• Excellent written and verbal communication skills.

• Enthusiasm to work hard and learn this summer!

 Preferred Skills:

• Experience with growing and harvesting protein crystals highly desirable.

• Prior use of crystallographic software suites (CCP4, Phenix) and visualization software (PyMOL, Chimera) also highly desirable. #DNI

The Opportunity:

As a Director, Molecular Pathology, you will be a key member of a cross-functional Translational Sciences Team, reporting to the Senior Director and Head of Translational Sciences within Translational Research and will:

• Biomarker Strategy: Define and execute molecular and digital pathology-driven biomarker strategies.

• Integration of Advanced Modalities: Lead adoption of molecular pathology and spatial technologies (to support translational research and broader BDR needs.

• Digital & Computational Pathology: Drive implementation of whole-slide imaging, AI/ML-based image analysis, and integration of spatial biomarker analytics into decision-making.

• Data Interpretation & Reporting: Provide expert interpretation of pathology data, ensuring robust correlation with clinical outcomes and mechanistic insights.

• Cross-functional Leadership: Collaborate with Translational Medicine, Bioinformatics, and Clinical Development colleagues to implement candidate biomarkers into Translational Biomarker plans for RAS(ON) inhibitors in alignment with overarching clinical development strategies.

Responsibilities

• Scientific Leadership & Execution: Perform and interpret multiplex spatial biomarker datasets to inform Translational hypotheses and clinical strategies. Establish QC standards for data acquisition and analysis.

• Cross-Functional Collaboration: Partner within Research and Clinical teams to integrate spatial biomarker findings into translational plans. Collaborate with Systems Biology and Information Sciences teams to enable visualization tools

• External Partnership Management: Serve as primary scientific liaison to CROs for spatial biomarker workflows; review deliverables, troubleshoot issues, and drive continuous improvement.

• Capability Building: Document best practices and SOPs for spatial biomarker workflows; recommend platform upgrades and pilot evaluations.

Required Skills, Experience & Education:

• 10+ years in digital pathology/spatial biology within pharma, biotech, or CRO settings.

• Scientific Expertise: Deep knowledge of spatial biology (e.g. spatial transcriptomics, Visium, Xenium, GeoMx, MerFish, etc.); ability to translate complex data into actionable insights

• Execution Excellence: Bias for action; delivers high-quality analyses under tight timelines

• Collaboration & Influence: Builds strong relationships across functions and with external partners; communicates clearly and persuasively.

• Innovation & Continuous Improvement: Identifies opportunities to enhance workflows and adopt emerging technologies.

• PhD/MD or equivalent in Cancer Biology, Translational Sciences, Pathology or related discipline.

Preferred Skills:

• Hands-on experience with spatial pathology workloads.

• Familiarity with AI/ML-assisted pathology workflows and spatial statistics.

• Proven ability to manage CRO relationships and deliver time-sensitive biomarker analyses.

#LI-Hybrid  #LI-LN1

The Opportunity:

The Biophysics and Protein Sciences Group generates target proteins to support drug discovery efforts. We currently utilize heterologous overexpression systems, including bacterial and insect cell expression, and purify proteins using a variety of approaches (e.g., bulk purification, FPLC, immunoprecipitation). To maximize our capacity to test multiple construct designs and rapidly determine which proteins can be reliably produced, we are actively developing a small-scale expression and purification (SmScExpPur) platform along with a series of protocols spanning the full workflow: from construct design through small-scale expression testing, purification, and quality control. The summer intern will contribute to this ongoing effort by owning a defined set of experiments aimed at further developing and evaluating SmScExpPur protocols, with the goal of improving protein yield, consistency, and quality. This will include executing small-scale expression and purification experiments, analyzing outcomes across constructs and conditions, and contributing data-driven recommendations for protocol improvements. Proteins generated through this work will be used to perform basic QC assessments to evaluate protein identity, aggregation state, and folding.

Required Skills, Experience and Education:

• Prior hands-on laboratory experience in an academic or industry setting.

• Strong attention to detail and experimental rigor.

• Clear written and verbal communication skills.

• Experience with basic laboratory techniques, including pipetting.

• Experience documenting experiments through protocols, laboratory notebooks, laboratory reports, or research papers.

• Familiarity with bacterial transformation and/or recombinant protein expression workflows.

Preferred Skills:

• Experience with insect cell expression systems.

• Experience with protein purification techniques (e.g., affinity purification, FPLC).

• Interest or experience in protocol development, optimization, or troubleshooting.

• Experience with liquid handling or semi-automated laboratory systems. 

  #LI-Hybrid  #LI-AP1

The Opportunity:

The Translational Sciences Intern will support the Translational Sciences team in advancing programs that connect preclinical discovery with clinical development. This role provides exposure to how Translational Research integrates molecular biology, pharmacology, biomarker discovery, and clinical data to inform therapeutic development in precision oncology. The intern will gain insight into how translational strategies are developed to understand drug mechanisms, identify biomarkers of response and resistance, and guide clinical trial design. This position is ideal for a student interested in translational cancer research and the interface between laboratory science and clinical application. The role focuses on learning, analysis, and cross-functional collaboration within a multidisciplinary drug development environment.

This role provides the opportunity to learn some or all the following, depending on project assignments and team needs.

• How translational research supports the development of targeted therapies in oncology.

• How biomarker strategies are developed to support clinical trials and precision medicine approaches. • How preclinical data are integrated with clinical observations to understand mechanisms of response and resistance.

• How cross-functional teams across discovery biology, pharmacology, clinical development, and bioinformatics collaborate in drug development.

• How experimental and clinical datasets are analyzed and interpreted to generate translational insights.

• How translational scientists communicate complex scientific findings to multidisciplinary teams.

Required Skills, Experience and Education:

• Strong analytical, critical-thinking, and problem-solving skills.

• Ability to interpret scientific literature and synthesize complex scientific information.

• Strong written and verbal communication skills.

• Interest in oncology, molecular biology, or translational research.

• Organized, detail-oriented, and able to work independently with guidance.

• Professional curiosity and willingness to learn new concepts.

• Pursuing a bachelor’s or master’s degree in a STEM field (e.g., biology, biochemistry, molecular biology, biomedical engineering, or related discipline).

Preferred Skills:

• Coursework or research experience in cancer biology, molecular biology, or pharmacology.

• Familiarity with biomarker concepts or translational research approaches.

• Experience with basic laboratory techniques or biological data analysis.

• Experience preparing scientific presentations or summarizing research findings.

• Interest in precision medicine and targeted cancer therapies. 

  #LI-Hybrid  #LI-AP1

The Opportunity:

The Targets and Mechanisms group within Discovery Biology leverages expertise in cancer biology and deep mechanistic understanding of cancer-relevant pathways to identify and characterize high-priority oncology targets for our tri-complex inhibitor (TCI) platform. We are looking for an experienced drug hunter to lead the Target Biology team, provide hands-on scientific and people leadership, and work cross-functionally to identify and rapidly assess promising new targets, determine hit identification strategy, and advance screening hits through the early stages of hit-to-lead discovery. The ideal candidate will be a strategic thinker and an accomplished scientist with experience identifying and vetting targets for oncology programs, familiarity with different targeting modalities, including molecular glues, and hands-on hit to lead experience.

In this role you will:

• Lead a team of scientists focused on target identification, prioritization, and biological validation.

• Work cross-functionally with partners in Medicinal Chemistry, Structural Biology, Discovery Biology, Translational Research, and Cancer Immunology to prioritize oncology targets, implement hit discovery plans, and drive progression from hit identification through lead generation.

• Collaborate with the Translational Research function to apply learnings from clinical and preclinical studies to inform new target identification and prioritization.

• Spearhead innovative approaches and technologies for target discovery and hit identification, specifically in the context of hard-to-drug oncology targets.

• Provide scientific leadership to the team, including technical guidance, coaching, and mentoring.

• Foster a culture of curiosity, scientific rigor, and excellence, driven by RevMed’s core values and commitment to improving patients’ lives.

• Implement data-driven decision-making processes to prioritize targets and allocate resources effectively.

Required Skills, Experience and Education:

We are looking for a driven team leader and an excellent team player to guide the Target Biology team and support overall Discovery Biology efforts.

• PhD in chemical biology, cell-biology, biochemistry, or a related scientific discipline.

• Minimum of 10 years of industry experience, ideally in early-stage drug discovery.

• Experience as a team leader in an industry setting with demonstrated ability to build strong cross-functional relationships and effectively drive early discovery programs.

• Proven problem solver with strong scientific background and expertise in experimental design and data interpretation.

• Excellent communication and decision-making skills.

Preferred Skills:

• Knowledge of molecular glue discovery, cellular models, phenotypic screening, and target identification by chemical labeling.

• Familiarity with multi-omics data, genetic screens (e.g., synthetic lethality) and their application in early discovery.

• Experience applying advanced analytical techniques (e.g. AI and ML) to generate hypotheses from large, multidimensional data sets.

• Project team leadership experience in early-stage discovery programs.

• Experience working with different modalities, such as small molecules, biologics, and molecular glues. 

  #LI-Hybrid  #LI-LN1