Senior Genomics Data Scientist, Bioinformatics Pipelines

Weill Cornell Medicine; New York (NY); On-site; USD 104,000 - 120,900; Full time

Job summary

Weill Cornell Medicine in New York, NY, offers a Senior Bioinformatics Analyst role within MCC Laboratories on the Upper East Side. This position leads the development, testing and maintenance of analytical pipelines for genomic testing, including whole exome sequencing, with a 35-hour work week and exempt status.

The ideal candidate will have a Bachelor's degree, about 3 years of related experience, and strong programming skills in Python or C/C++/Java to support biostatistical analyses, data

Qualifications

• Bachelor's degree required in a related field.
• Approximately 3 years of related experience.
• Strong programming skills in Python or C/C++/Java.
• Experience with bioinformatics workflows and genomic datasets.
• Experience in an academic environment preferred.

Responsibilities

• Biostatistical analysis and data interpretation for large datasets.
• Develop pipelines for mutation detection from whole-exome sequencing data.
• Manage primary processing pipeline and quality control for new samples.
• Establish disaster recovery procedures and resume failed jobs.
• Collaborate with bioinformatics teams to define data systems and datasets.
• Develop novel algorithms and tools for high-throughput data analysis.
• Explore new computing platforms and data sharing.
• Perform other related duties as assigned.

Skills

Python

C/C++

Java

Biostatistics

Genomic data analysis

Data interpretation

Team collaboration

Education

Bachelor's degree in related field

MS or PhD in bioinformatics/systems biology

Job description

Weill Cornell Medicine in New York, NY, offers a Senior Bioinformatics Analyst role within MCC Laboratories on the Upper East Side. This position leads the development, testing and maintenance of analytical pipelines for genomic testing, including whole exome sequencing, with a 35-hour work week and exempt status.

The ideal candidate will have a Bachelor's degree, about 3 years of related experience, and strong programming skills in Python or C/C++/Java to support biostatistical analyses, data