Senior Scientist II, Statistical Genetics

Cytokinetics; San Francisco (CA); On-site; USD 185,000 - 215,000; Full time

Benefits offered by this job

Stock options

Health, dental, vision, life insurance

401k with employer match

Learning stipends

Paid time off

Job summary

Cytokinetics is seeking a highly motivated statistical geneticist to discover and evaluate therapeutic targets for cardiac and skeletal muscle diseases. You will lead analyses of large biobanks, develop AI/ML-based phenotypes from EHR/imaging, and apply fine-mapping and Mendelian randomization to identify causal genes.

Collaboration with experimental teams and publication of findings are key responsibilities.

Qualifications

• PhD in Statistical Genetics, Human Genetics, Bioinformatics or related field with 4+ years post-doctoral or industry experience.
• Strong expertise analyzing large-scale genomic datasets, including GWAS and sequencing data.
• Experience translating genetic associations into candidate therapeutic hypotheses or targets.

Responsibilities

• Perform GWAS and sequencing association studies across biobanks to discover and replicate associations.
• Develop quantitative and longitudinal phenotypes from EHR and imaging using AI/ML methods.
• Apply fine-mapping, colocalization, Mendelian randomization and burden methods to identify causal genes.
• Prioritize targets using genetic evidence for efficacy and safety and collaborate with experimental teams.
• Build reproducible pipelines and present findings internally and at conferences.

Skills

Statistical genetics

R

Python

GWAS

MR methods

Biobank analysis

Colocalization

Fine-mapping

AI/ML

Data analysis

Communication

Education

PhD in Statistical Genetics

Tools

R

Python

AWS

UKB RAP

All of Us Workbench

Job description

Cytokinetics is a specialty cardiovascular biopharmaceutical company, building on its over 25 years of pioneering scientific innovations in muscle biology, and advancing a pipeline of potential new medicines for patients suffering from diseases of cardiac muscle dysfunction.We are seeking a highly motivated and skilled statistical geneticist to join our growing team. You will play a critical role in discovering and evaluating therapeutic targets for diseases involving impaired cardiac and skeletal muscle function. You will lead hands-on research using large human cohorts, sequencing data and rich phenotypes to connect genetic variation with disease biology and therapeutic opportunities.This role requires a strong foundation in statistical genetics, applied AI/ML experience, and a passion for translating genetic insights into clinical applications.Responsibilities:Perform common and rare variant association studies and meta-analyses across biobanks (e.g., UK Biobank, All of Us, FinnGen) to discover and replicate associations across diverse ancestriesDevelop quantitative and longitudinal phenotypes from EHR and imaging (e.g., cardiac MRI, DEXA) using AI/ML methods to better capture disease biologyApply fine-mapping, colocalization, Mendelian randomization and burden methods, including protein language model-based variant prioritization, to identify causal genes and direction of effectPrioritize targets using genetic evidence for efficacy and safety (e.g., PheWAS, allelic series, protective variants) and partner with experimental teams on validationBuild reproducible pipelines on research analysis platforms, and present findings internally, at conferences and in publicationsQualifications:Ph.D. in Statistical Genetics, Human Genetics, Bioinformatics, Computational Biology or a related field with 4+ years of post-doctoral or industry experienceStrong expertise in analyzing large-scale genomic datasets, including GWAS and sequencing dataDemonstrated experience translating genetic associations into candidate therapeutic hypotheses or targetsExperience with multidimensional and longitudinal data analysis in biology or medicineProficiency in R and/or Python, with experience applying and critically evaluating statistical and ML methodsTrack record of independent research (e.g., first-author publications, methods, software) and strong communication skillsPreferred Qualifications:Experience with cloud computing platforms (e.g., AWS, Google Cloud) and biobank research analysis platforms (e.g., UKB RAP, All of Us Workbench)Experience with machine learning and deep learning methods, and strong interest in applying these methods to biological problemsPrevious therapeutic area experience in cardiovascular and neuromuscular disease is strongly desiredExperience using AI-assisted coding tools in reproducible workflowsYou don’t need every item on this list. We hire for judgment, rigor and curiosity.To Apply:Please submit your CV, a cover letter outlining your research experience and interests, and a list of publications.#LI-ONSITEPay Range:The expected salary range for this position based on the primary location of South San Francisco, CA is $184,500-$215,250. The base pay offered will take into account internal equity and may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. Base salary is just one component of our competitive total compensation package, which includes equity in the form of stock options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.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.Our passion is anchored in robust scientific thinking, grounded in integrity and critical thinking. We keep the patient front and center in all we do – all actions and decisions are in service of the patient and their caregivers. We champion integrity, ethics, doing the right thing, and being our best selves.Fraud Warning: How to Identify Impersonated Cytokinetics Job Postings and OffersRecently, there have been fraudulent employment offers being sent to candidates on behalf of Cytokinetics. Please be advised that all legitimate offers from Cytokinetics will come directly from our official email domain (Cytokinetics.com) and will only be made after completing a formal interview process.Here are some ways to check for authenticity:We do not conduct job interviews through non-standard text messaging applicationsWe will never request personal information such as banking details until after an official offer has been accepted and verifiedWe will never request that you purchase equipment or other items when interviewing or hiringIf you are unsure about the authenticity of an offer, or if you receive any suspicious communication, please contact us directly at [e-mail] visit our website at: www.cytokinetics.comCytokinetics is an Equal Opportunity Employer