Research Applications Developer II Anatomy & Neurobiology

Research Applications Developer II, Anatomy & Neurobiology

Category

Boston University Medical Campus --> Professional

Job Location

Boston, MA, United States

Tracking Code

26500614170907

Posted Date

9/14/2026

Salary Grade

Grade 49

Expected Hiring Range Minimum

$72,000.00

Expected Hiring Range Maximum

$78,000.00

The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, training and internal pay comparison. The above hiring range represents the University''s good faith and reasonable estimate of the range of possible compensation at the time of posting.

Position Type

Full-Time/Regular

The position involves performing data processing and specialized computational analyses of large-scale transcriptomic RNA sequencing datasets for three multi-PI projects. The position reports directly to multi-Principal Investigators, Dr. Maria Medalla, as the main supervisor, and her collaborators, Drs. Tara Moore and Ella Zeldich. The position entails also working closely and consulting with Dr. Joshua Campbell, our bioinformatics consultant and collaborator. This position will be independently responsible for the analyses and rigor of bioinformatics data and complex statistical approaches. This position requires knowledge of computational statistical and bioinformatics methods, and the ability to independently solve a range of complex computational problems. The nature of the work involves independent analyses of data and often involves troubleshooting and making decisions made under conditions of uncertainty, sometimes with incomplete information, while still producing effective end results. The position requires independent judgment in determining how to achieve the expected results.

Required Skills

• Master''s degree with 1-3 years of or equivalent in bioinformatics and 1-3 years'' experience processing large data sets using computational pipelines for single-cell transcriptomic analyses.
• Requires knowledge of computational bioinformatics methods for analyses of large scale transcriptomic and proteomic data.
• Knowledge of coding, specifically Python and R packages for bioinformatics computational toolkits.
• The ability to collaborate with experimental scientists and work in a team setting to analyze large scale datasets.

We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, natural or protective hairstyle, religion, sex, age, national origin, physical or mental disability, sexual orientation, gender identity, genetic information, military service, pregnancy or pregnancy-related condition, or because of marital, parental, or veteran status. We are a VEVRAA Federal Contractor.