Cytokinetics
Overview
Cytokinetics is a late-stage, specialty cardiovascular biopharmaceutical company focused on discovering, developing and commercializing first-in-class muscle activators and next-in-class muscle inhibitors as potential treatments for diseases with impaired cardiac muscle performance. We are developing small molecule drug candidates engineered to impact myocardial muscle function and contractility. We are seeking a highly motivated and skilled Statistical Genetics Senior Scientist to join our growing team. The successful candidate will analyze large-scale genetic and genomic datasets to identify and select therapeutic targets for cardiovascular and muscle diseases, translating genetic insights into clinical applications. Responsibilities
Data Analysis
Perform genome-wide association studies (GWAS), fine-mapping, and other statistical genetics analyses using large-scale genomic datasets (e.g., UK Biobank, All of US, FinnGen). Analyze and integrate multi-omics data (genomics, transcriptomics, proteomics, metabolomics) to identify causal variants and pathways linked to cardiovascular diseases. Develop and apply statistical models to predict disease risk and treatment response based on genetic and clinical data. Conduct Mendelian randomization studies to infer causal relationships between genetic variants and cardiovascular traits.
Target Identification and Validation
Identify and prioritize genetic targets for therapeutic intervention based on statistical and functional evidence. Contribute to the design and analysis of genetic studies to validate drug targets and biomarkers. Collaborate with experimental biologists and clinicians to translate genetic findings into preclinical and clinical research.
Bioinformatics and Data Management
Develop and maintain bioinformatics pipelines for processing and analyzing genomic data. Manage and curate large-scale genetic and clinical datasets. Utilize and develop statistical software and tools for data analysis and visualization (e.g., R, Python, PLINK, Hail).
Collaboration and Communication
Collaborate with cross-functional teams, including biologists, clinicians, and computational scientists. Present research findings at internal meetings, scientific conferences, and in peer-reviewed publications. Contribute to the preparation of regulatory documents and grant applications. Maintain detailed and organized records of all analyses.
Qualifications
Education: Ph.D. in Statistical Genetics, Genetic Epidemiology, Bioinformatics, or a related field or equivalent. Experience:
8+ years of postdoctoral or industry experience in statistical genetics or genetic epidemiology. Strong expertise in analyzing large-scale genomic datasets, including GWAS and sequencing data. Proficiency in statistical programming languages (R, Python) and bioinformatics tools. Experience with Mendelian randomization and multi-omics data integration is highly desirable. Familiarity with cardiovascular disease genetics is a plus.
Skills:
Strong analytical and problem-solving skills. Excellent communication and presentation skills. Ability to work independently and as part of a team. Strong organizational and time management skills. Ability to learn new skills quickly.
Preferred Qualifications
Experience with cloud computing platforms (e.g., AWS, Google Cloud). Experience with machine learning and deep learning methods. Publications in peer-reviewed journals related to statistical genetics and cardiovascular disease. Pay Range
In the U.S., the hiring pay range for fully qualified candidates is $171,000-$189,000 per year. The base pay offered will take into account internal equity and may vary depending on geographic region, job-related knowledge, skills, and experience among other factors. Our employees come from different backgrounds, and we celebrate those differences. We are looking for the best candidates for our open roles, but do not expect applicants to meet every qualification in order to be considered. If you are excited about what you could accomplish at Cytokinetics and believe you can add value to our team, we would love to hear from you. Please review our General Data Protection Regulation (GDPR) policy PRIOR to applying. Cytokinetics is an Equal Opportunity Employer.
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Cytokinetics is a late-stage, specialty cardiovascular biopharmaceutical company focused on discovering, developing and commercializing first-in-class muscle activators and next-in-class muscle inhibitors as potential treatments for diseases with impaired cardiac muscle performance. We are developing small molecule drug candidates engineered to impact myocardial muscle function and contractility. We are seeking a highly motivated and skilled Statistical Genetics Senior Scientist to join our growing team. The successful candidate will analyze large-scale genetic and genomic datasets to identify and select therapeutic targets for cardiovascular and muscle diseases, translating genetic insights into clinical applications. Responsibilities
Data Analysis
Perform genome-wide association studies (GWAS), fine-mapping, and other statistical genetics analyses using large-scale genomic datasets (e.g., UK Biobank, All of US, FinnGen). Analyze and integrate multi-omics data (genomics, transcriptomics, proteomics, metabolomics) to identify causal variants and pathways linked to cardiovascular diseases. Develop and apply statistical models to predict disease risk and treatment response based on genetic and clinical data. Conduct Mendelian randomization studies to infer causal relationships between genetic variants and cardiovascular traits.
Target Identification and Validation
Identify and prioritize genetic targets for therapeutic intervention based on statistical and functional evidence. Contribute to the design and analysis of genetic studies to validate drug targets and biomarkers. Collaborate with experimental biologists and clinicians to translate genetic findings into preclinical and clinical research.
Bioinformatics and Data Management
Develop and maintain bioinformatics pipelines for processing and analyzing genomic data. Manage and curate large-scale genetic and clinical datasets. Utilize and develop statistical software and tools for data analysis and visualization (e.g., R, Python, PLINK, Hail).
Collaboration and Communication
Collaborate with cross-functional teams, including biologists, clinicians, and computational scientists. Present research findings at internal meetings, scientific conferences, and in peer-reviewed publications. Contribute to the preparation of regulatory documents and grant applications. Maintain detailed and organized records of all analyses.
Qualifications
Education: Ph.D. in Statistical Genetics, Genetic Epidemiology, Bioinformatics, or a related field or equivalent. Experience:
8+ years of postdoctoral or industry experience in statistical genetics or genetic epidemiology. Strong expertise in analyzing large-scale genomic datasets, including GWAS and sequencing data. Proficiency in statistical programming languages (R, Python) and bioinformatics tools. Experience with Mendelian randomization and multi-omics data integration is highly desirable. Familiarity with cardiovascular disease genetics is a plus.
Skills:
Strong analytical and problem-solving skills. Excellent communication and presentation skills. Ability to work independently and as part of a team. Strong organizational and time management skills. Ability to learn new skills quickly.
Preferred Qualifications
Experience with cloud computing platforms (e.g., AWS, Google Cloud). Experience with machine learning and deep learning methods. Publications in peer-reviewed journals related to statistical genetics and cardiovascular disease. Pay Range
In the U.S., the hiring pay range for fully qualified candidates is $171,000-$189,000 per year. The base pay offered will take into account internal equity and may vary depending on geographic region, job-related knowledge, skills, and experience among other factors. Our employees come from different backgrounds, and we celebrate those differences. We are looking for the best candidates for our open roles, but do not expect applicants to meet every qualification in order to be considered. If you are excited about what you could accomplish at Cytokinetics and believe you can add value to our team, we would love to hear from you. Please review our General Data Protection Regulation (GDPR) policy PRIOR to applying. Cytokinetics is an Equal Opportunity Employer.
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