Lead multiomics integration and biomarker discovery to support precision medicine strategies across discovery and clinical development.
Locations (2)
Madrid, Spain, Spain
Barcelona, Spain, Spain
Compensation
The anticipated base pay range for this position is:
€44,000.00 - €70,840.00
Responsibilities
Develop, implement, and apply integrative multiomics frameworks to identify biomarkers and patient subtypes relevant to xTA discovery and clinical precision strategies.
Integrate diverse data modalities, including genomics, transcriptomics, proteomics, single-cell/spatial omics, QTLs, imaging, and clinical/real-world data, to characterize disease heterogeneity.
Design patient stratification and subtyping approaches that link molecular signatures to disease mechanisms, prognosis, and treatment response.
Quantify and prioritize biomarker evidence supporting target engagement, pharmacodynamic response, and patient selection.
Apply systems biology, network analysis, and statistical/ML methods to connect targets, pathways, biomarkers, and clinical phenotypes.
Requirements
PhD in Computational Biology, Bioinformatics, Systems Biology, Genetics, Biostatistics, or a related quantitative life science discipline, with relevant postdoctoral or industry experience; or a master’s degree in a related field with at least 4 years of relevant experience.
Develop and apply multiomics integration methods and frameworks for biomarker identification and patient subtyping to enable precision medicine strategies across disease areas.
Locations (2)
Madrid, Madrid, Spain
Barcelona, Catalonia, Spain
Compensation
The anticipated base pay range for this position is:
€44,000.00 - €70,840.00
Responsibilities
Develop, implement, and apply integrative multiomics frameworks to identify biomarkers and patient subtypes relevant to xTA discovery and clinical precision strategies.
Integrate diverse data modalities, including genomics, transcriptomics, proteomics, single-cell/spatial omics, QTLs, imaging, and clinical/real-world data, to characterize disease heterogeneity.
Design patient stratification and subtyping approaches that link molecular signatures to disease mechanisms, prognosis, and treatment response.
Quantify and prioritize biomarker evidence supporting target engagement, pharmacodynamic response, and patient selection.
Lead biomarker and drug development and/or translational research efforts in multiple sclerosis.
Compensation
The expected salary range for this position based on the primary location of California is $120,700 - 224,100 (Senior Scientist) and $141,500 - 262,900 (Principal Scientist). Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance.
Responsibilities
Identify new targets and biomarkers in support of drug development projects in multiple sclerosis
Lead efforts to support clinical trials, lead data generation and analyses within internal studies, and/or lead external academic collaborations relating to understanding disease pathogenesis in multiple sclerosis
Integrate biomarkers into clinical trials and/or with target identification or validation
Provide effective communication with presentations at cross-functional teams, internal review committees, and external conferences
Write biomarker sections of clinical protocols, reports, regulatory filings and scientific publications
Requirements
PhD in Neuroscience and/or Immunology, or a related field
Nice to have: prior experience in multiple sclerosis
Lead biomarker and drug development efforts in multiple sclerosis within the Translational Medicine department.
Compensation
The expected salary range for this position based on the primary location of California is $120,700 - 224,100 (Senior Scientist) and $141,500 - 262,900 (Principal Scientist). Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance.
Responsibilities
Identify new targets and biomarkers for drug development
Support clinical trials and data generation
Lead external academic collaborations
Develop computational strategies for analysis
Communicate findings through presentations and publications
Requirements
PhD in Neuroscience and/or Immunology or related field
A strategic leadership role focused on leveraging genomic, phenomic, and environmental data to design improved germplasm through accelerated breeding schemes and innovations in genomics, quantitative genetics, and computational biology.
Responsibilities
Spearhead leadership to architect the technical strategy to design improved cohorts of germplasm that are aligned with Product Concept targets from initial crossing through the handoff to Product Development
Ensure alignment or resources, needs and usage with partners
Cultivate and maintain collaborative relationships with Breeding R&D and Crop Science partner teams, including field testing, data science, engineering, molecular breeding, logistics, trait integration, Product Development, Market Development, and Commercial organizations
Ensures meaningful knowledge and data transfer during transition points per crop cycle timelines
Strategically unearth and catalyzes key areas of opportunity for new technology implementation and/or process improvement
A senior strategic leadership role focused on leveraging genomic, phenomic, and environmental data to design improved germplasm through accelerated breeding, genomics, and computational biology.
Responsibilities
Spearhead leadership to architect the technical strategy to design improved cohorts of germplasm that are aligned with Product Concept targets from initial crossing through the handoff to Product Development
Ensure alignment or resources, needs and usage with partners
Cultivate and maintain collaborative relationships with Breeding R&D and Crop Science partner teams, including field testing, data science, engineering, molecular breeding, logistics, trait integration, Product Development, Market Development, and Commercial organizations to deliver a robust product pipeline
Ensures meaningful knowledge and data transfer during transition points per crop cycle timelines
Strategically unearth and catalyzes key areas of opportunity for new technology implementation and/or process improvement, while positively driving to a collaborative, innovative, and design-centric culture
Seeking a highly motivated, creative and collaborative scientific leader with expertise in cancer biology and functional genomics to lead laboratory efforts and drive strategic evolution in target identification, validation and in vitro assay development in cancer biology, with an emphasis on chemical biology and induced proximity.
Compensation
Pay range for this position: $175,000 - $242,000
Responsibilities
Drive overall strategy, design and execution of experiments to nominate new targets and approaches for induced proximity, chemical biology and functional genomics discovery research in Oncology
Serve as a hands-on expert and owner of novel approaches to engineer cellular and other model systems to validate and prosecute new targets and chemical modalities
Drive overall technical strategy in the RU by bringing creative ideas and solutions to complex biological problems
Mentor and work along with junior scientists to develop high-quality datasets that drive decision making on programs
Serve as a key expert partner across multiple project teams within the RU and with key external stakeholders
Lead the Oncology Integrative Biology team, providing scientific and strategic leadership for computational biology within Oncology Discovery across all disease area strongholds.
Locations (3)
Beerse, Antwerp, Belgium
Cambridge, Massachusetts, United States
Spring House, Pennsylvania, United States
Compensation
The anticipated base pay range for this position is:
$204,000.00 - $351,900.00
Responsibilities
Define and execute the computational biology strategy for Oncology Discovery
Lead computational approaches for target identification and validation
Integrate human tumor, patient-derived, multi-omics, and functional genomics data
Advance the application of machine learning, AI, network biology, predictive modeling, and multimodal data integration
Apply systems biology, network analysis, and statistical/ML methods to connect targets, pathways, biomarkers, and clinical phenotypes.
Requirements
PhD in Computational Biology, Bioinformatics, Systems Biology, Genetics, Biostatistics, or a related quantitative life science discipline
Master’s degree in a related field with at least 4 years of relevant experience
Partner with data science, AI/ML, informatics, and technology teams
Requirements
Ph.D. or equivalent advanced degree in Computational Biology, Bioinformatics, Systems Biology, Genetics/Genomics, Biostatistics, Data Science, or a related discipline
Director, Multiomic Sciences, Quantitative BiosciencesMerck · Singapore
Senior /Principal Scientist- (Multiple Sclerosis)Genentech · South San Francisco, US
Product Design Senior Principal ScientistBayer · Ciudad de México, Mexico
Scientific Associate Director, Induced Proximity BiologyThe businesses of Merck KGaA, Darmstadt, Germany · Billerica, US