Senior Scientist I at Cytokinetics

South San Francisco, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Biopharmaceutical, CardiovascularIndustries

Requirements

Ph.D. in Statistical Genetics, Genetic Epidemiology, Bioinformatics, or a related field or equivalent
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 (highly desirable)
Familiarity with cardiovascular disease genetics (plus)
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
Experience with cloud computing platforms (e.g., AWS, Google Cloud) (preferred)
Experience with machine learning and deep learning methods (preferred)
Publications in peer-reviewed journals related to statistical genetics and cardiovascular disease (preferred)

Responsibilities

Perform genome-wide association studies (GWAS), fine-mapping, and other statistical genetics analyses using large-scale genomic datasets (e.g., UK Biobank, AllofUS, FinnGen, etc.)
Analyze and integrate multi-omics data (genomics, transcriptomics, proteomics, metabolomics) to identify causal variants and pathways associated with 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
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
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)
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

Skills

Key technologies and capabilities for this role

Statistical GeneticsGWASfine-mappingbioinformaticsgenomicsmulti-omicsMendelian randomizationUK BiobankAllofUSFinnGentranscriptomicsproteomicsmetabolomics

Questions & Answers

Common questions about this position

What education is required for the Senior Scientist I position?

A Ph.D. in Statistical Genetics, Genetic Epidemiology, or Bioinformatics is required.

What technical skills are needed for this role?

Proficiency in statistical genetics analyses like GWAS, fine-mapping, and Mendelian randomization is required, along with experience in R, Python, PLINK, Hail, and bioinformatics pipelines for multi-omics data.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What kind of company culture does Cytokinetics have?

Cytokinetics seeks tenacious, compassionate, and collaborative individuals who are driven to make a positive impact, with each team member playing an integral part in advancing the mission to improve patients' lives.

Cytokinetics

Develops drugs for muscle function disorders

About Cytokinetics

Cytokinetics focuses on developing medicines that improve muscle function for patients with cardiovascular and neuromuscular diseases. Their products are small molecule drugs designed to either enhance or inhibit muscle function, tailored to specific therapeutic needs. The company has a pipeline of drugs, including omecamtiv mecarbil and reldesemtiv, which are in various stages of clinical trials. Unlike many competitors, Cytokinetics emphasizes rigorous scientific research and has conducted over 50 clinical trials to ensure the effectiveness of its treatments. The goal is to bring new therapies to market that address the unmet needs of patients suffering from conditions like heart failure, ALS, and HCM.

South San Francisco, CaliforniaHeadquarters

1998Year Founded

$58.4MTotal Funding

IPOCompany Stage

Biotechnology, HealthcareIndustries

501-1,000Employees

Risks

Increased competition could impact market share and profitability.

Potential delays in clinical trials could hinder drug commercialization.

Dependence on strategic partnerships may expose Cytokinetics to risks if challenges arise.

Differentiation

Cytokinetics focuses on muscle activators and inhibitors for cardiovascular and neuromuscular diseases.

The company has a robust pipeline including omecamtiv mecarbil and aficamten.

Cytokinetics engages in strategic partnerships, like with Sanofi, to expand market reach.

Upsides

Recent investments indicate strong interest in muscle activators and inhibitors.

Strategic partnerships, like with Sanofi, expand market reach and potential revenue.

Significant funding from Royalty Pharma supports commercial launch and R&D advancements.

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