Senior Scientist, Bioinformatics

Insmed Incorporated•San Diego, CA

1d•$127,000 - $165,500•Remote

About The Position

At Insmed, every moment and every patient counts — and so does every person who joins in. As a global biopharmaceutical company dedicated to transforming the lives of patients with serious and rare diseases, you’ll be part of a community that prioritizes the human experience, celebrates curiosity, and values every person’s contributions to meaningful progress. That commitment has earned us recognition as Science magazine’s No. 1 Top Employer for five consecutive years, certification as a Great Place to Work® in the U.S., and a place on The Sunday Times Best Places to Work list in the UK. For patients, for each other, and for the future of science, we’re in. Are you? About the Role: We’re looking for a Senior Scientist, Bioinformatics on the Analytical Development team to help us expand what’s possible for patients with serious diseases. Reporting to the Senior Scientist, Analytical Development, you’ll lead and deliver bioinformatics solutions across Insmed Gene Therapy’s discovery and development programs. You will play a critical role in supporting Insmed Gene Therapy’s drug discovery and development pipeline by applying computational and statistical approaches to analyze complex biological datasets. You will contribute to and lead efforts to develop tools, build analytical pipelines, perform in-depth data analysis and data modeling to support the wider science team.

Requirements

PhD along with 5+ years of industry experience OR a Master’s and 6 years of industry experience or a Bachelor’s and 8 years of industry experience.
Experience working with and analyzing NGS data (PacBio and Element Biosciences)
In-depth understanding of statistics (Bayesian) and their application across a range of data types
Experience coding collaboratively and using Git as part of a larger collaborative project
Experience delivering production-quality code in Python, R, JavaScript, Go, Rust
Experience with a python testing framework (e.g. pytest, unittest)
Experience developing tools within a cloud environment (gcloud, AWS, Azure)
Experience with building and deploying containerized code (Docker)
Experience with workflow management systems (e.g., Snakemake, Nextflow, CWL)

Nice To Haves

Degree in bioinformatics, computational biology, genomics, molecular biology or a similar area
Experience developing and releasing software for use by others
Experience working with structured data and SQL databases
Familiarity with popular machine learning algorithms
Experience with single-cell and/or spatial sequencing analysis (e.g., Seurat, Scanpy)
Knowledge of regulatory requirements for bioinformatics in drug development (FDA, EMA guidelines)
Familiarity with FAIR data principles and bioinformatics data standards
Familiarity with GAMP5 framework and risk-based software validation approaches

Responsibilities

Design, develop, and maintain bioinformatics pipelines for the analysis of next-generation sequencing (NGS) data including whole-genome sequencing (WGS), whole-exome sequencing (WES), transcriptomics (bulk, single cell and spatial) and epigenomics
Analyze data and develop interpretation reports for all facets of our drug products including comparability studies, AAV characterization studies and potency cell line characterization
Collaborate with R&D to develop bioinformatics platforms to help identify and validate molecular biomarkers associated with disease mechanisms, patient stratification, and therapeutic response in rare disease indications
Provide analytical and statistical rigor to empower better decision making during experimental design and result interpretation
Present findings clearly to both technical and non-technical stakeholders; contribute to scientific publications, regulatory submissions, and internal reports
Participate in cross-disciplinary mentoring and training of associate scientists.
Promote data integrity by employing current Insmed best practices for data handling and storage, to empower broadscale analyses
Manage code and result documentation using Git and GMP aligned methods to maintain accurate project history, ensure clear team collaboration and GMP data integrity
Organize and lead projects independently, including presenting project updates to key decision makers
Work as a key representative in Insmed’s Bioinformatics & Data Science group, building collaboratively and working in partnership with members across the organization
Support qualification and validation activities for bioinformatics pipelines and systems

Benefits

Comprehensive medical, dental, and vision coverage and mental health support
Annual wellbeing reimbursement
Access to our Employee Assistance Program (EAP)
Generous paid time off policies
Fertility and family-forming benefits
Caregiver support
Flexible work schedules with purposeful in-person collaboration
401(k) plan with a competitive company match
Annual equity awards
Participation in our Employee Stock Purchase Plan (ESPP)
Company-paid life and disability insurance
Company Learning Institute providing access to LinkedIn Learning, skill building workshops, leadership programs, mentorship connections, and networking opportunities
Employee resource groups
Service and recognition programs
Meaningful opportunities to connect, volunteer, and give back