Cytokineticsis 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.
At Cytokinetics each team member plays an integral part in advancing our mission to improve the lives of patients. We are seeking tenacious compassionate and collaborative individuals who are driven to make a positive impact.
This is a paid internship at our South San Francisco headquarters. The program is for approximately 12 weeks beginning in late May/early June.
Under the mentorship of the Translational Biology (TB) team the intern will work closely with cross-functional teams in preclinical and clinical research to contribute to translational biomarker discovery efforts using large-scale population biobank datasets. The TB team analyzes biological and clinical data to support target prioritization and advance clinical development programs. The TB intern will develop and validate AI/ML-enabled statistical methods and/or computational workflows to analyze genetic clinical and imaging data and identify predictive and prognostic biomarkers. The TB intern will have the opportunity to make meaningful contributions to high-impact research projects and may have the opportunity to publish their work.
Job Description:
Curate harmonize and analyze multi-modal biobank datasets (genetic data phenotypes/EHR-derived traits imaging proteomics/transcriptomics where available) relevant to cardiovascular and neuromuscular disorders
Develop and implement statistical genetics methods and/or AI/ML workflows for translational biomarker discovery risk prediction and novel target prioritization (including model development evaluation and interpretation)
Evaluate the utility of protein language models for variant interpretation and improving statistical power for rare variant association tests
Apply causal inference approaches where appropriate (e.g. Mendelian randomization colocalization fine-mapping) to strengthen biological plausibility and therapeutic hypotheses
Build end-to-end reproducible analysis pipeline following best practices for cloud computing (AWS/GCP) and data science
Communicate findings through clear documentation presentations and written summaries for both computational and experimental audiences
Qualifications:
Currently enrolled in university pursuing a Masters Degree or PhD (PhD preferred) in Human Genetics Bioinformatics Computational Biology Biomedical Informatics Computer Science or a related field
Experience in applying AI/ML to biological or clinical problems
Experience in working with genetic and/or imaging datasets
Solid understanding of statistical modeling and analytical methods used in machine learning and data science
Strong plus: evidence of strong computational and statistical analysis skills (e.g. publications conference presentations and/or a GitHub portfolio)
Excellent communication and interpersonal skills
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Pay Range:
In the U.S. the hiring pay range for fully qualified candidates is $35-40/hr. The base pay actually offered will take into account internal equity and also may vary depending on the candidates 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 ourGeneral Data Protection Regulation (GDPR) policyPRIOR 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.
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Cytokinetics is an Equal Opportunity Employer
Required Experience:
Intern