"Scientist I- Computational Biology"

About the Role

We are looking for a Scientist I to join our Diagnostics Accelerator team with significant expertise in analyzing Next Generation Sequencing (NGS) and other high throughput datasets (mass spectrometry) for biomarker discovery. You will work with a multidisciplinary team on developing multi-omic technologies for investigating pathological states from human biofluids. You will lead development of novel Next Generation Sequencing (NGS) computational methods that will be used across different diseases. Although this role is primarily computational, you will also have an opportunity to participate or be trained in experimental methods and ideally serve as a hybrid computational / experimental scientist.

What you'll do:

• Perform computational analysis of NGS (RNA-Seq, etc), mass spectrometry, and other large scale datasets to find novel biomarkers for different diseases
• Help with experiments developing novel platforms for biomarker discovery
• Provide training and guidance to other lab members on experimental technique
• Present data at internal Wyss Meetings and prepare presentations for updating program officers from funding agencies
• Develop pipelines for selecting biomarkers from large multi-omic data sets (NGS, mass spectrometry, etc.)
• Develop new technologies for profiling of biomarkers from human biofluids
• Demonstrate a commitment to teamwork, scientific rigor, and collaboration within and across teams

Qualifications

What you'll need:

• Bachelor's degree in biology, computer science, engineering, or a related field and at least 4 years of experience working with NGS data (RNA-Seq, etc)
• Strong programming skills in Python and/or R, and extensive expertise in writing computational biology workflows required
• Advanced education may count towards years of experience

Desirable skills:

• MS or PhD in computational biology preferred but not required
• Experience with ML/AI workflows helpful
• Experience with analyzing mass spectrometry data helpful
• Prior experimental experience (molecular biology, NGS library preparation, programming liquid handlers/automation) helpful

Additional Information

• Standard Hours/Schedule: 35 hours per week
• Visa Sponsorship Information: Harvard University is unable to provide visa sponsorship for this position
• Pre-Employment Screening: Identity, and Education
• Work Format Details: This is a position that is based at a Harvard campus location with some remote work options available. All remote work must be performed within one of the Harvard Registered Payroll States
• Salary Grade and Ranges: This position is salary grade level 056. Please visit Harvard's Salary Ranges to view the corresponding salary range and related information
• Benefits: Harvard offers a comprehensive benefits package that is designed to support a healthy work-life balance and your physical, mental and financial wellbeing. For more details, visit Benefits & Wellbeing Page