Insmed Incorporated is a global biopharmaceutical company dedicated to transforming the lives of patients with serious and rare diseases. They are seeking a Data Science Intern to analyze genomic datasets, develop statistical methods for genetic analysis, and contribute to groundbreaking research in rare diseases.
Analyse cutting-edge genomic datasets using GWAS and rare variant association studies
Develop novel statistical or machine learning methods for genetic and phenotypic analysis
Create and validate polygenic risk scores for rare disease phenotypes
Develop and curate phenotypic information to aid in understanding disease biology
Annotate and prioritize genetic variants using advanced computational tools
Qualification
Required
Currently pursuing a MS or PhD in Statistical Genetics, Biostatistics, Data Science, Machine Learning, Computational Biology, or related field
Strong foundation in statistical genetics principles
Proficiency in R or Python, and familiarity with genetic analysis tools (e.g., PLINK, BOLT-LMM, SAIGE, as well as core bioinformatic command-line tools)
Experience with genomic data formats and Linux/Unix environments
Strong analytical and communication skills
Preferred
Knowledge of rare disease
Understanding of RNAseq
Experience with curating ICD-10 or other medical coding data
Cloud and / or high-performance computing experience
Benefits
Paid company holidays
Hands-on learning in real-world projects
Networking opportunities with leaders and social events with your peers
Mentorship and professional development
A final presentation to celebrate your contributions
Access to office amenities for those who are not remote.
Insmed is a people-first global biopharmaceutical company striving to deliver first- and best-in-class therapies to transform the lives of patients facing serious diseases.