Director-Software Engineering

The Demetris Research Histology Services (RHS) laboratory is a state-of-the-art research facility dedicated to providing the highest quality services and invaluable instruction. The RHS lab has served as the central core pathology laboratory for numerous entities for over 25 years. Examples include: 1) the Immune Tolerance Network (https://www.immunetolerance.org ) and multiple projects from them; 2) Eledon Pharmaceuticals (https://eledon.com/ ) a company who is testing a new immunosuppression drug; 3) TransMedics, Inc. (https://www.transmedics.com/ ) a company who provides extra-corporeal perfusion systems for multiple organs throughout the world and; 4) NIH-sponsored multi-center studies on immunosuppression weaning in kidney allograft recipients. Services provided by the RHS lab include sample preparation, sectioning, slide preparation, staining, immunohistochemistry services, whole slide imaging, and digital analysis. In addition, Dr. Demetris, who serves as the central pathologist, reviews, interprets, and analyzes all data obtained to meet the needs of our customers through understanding and providing scientific insight into their projects.

Leads team and leads projects and developments. Interprets and reviews policies and project requirements. Monitors and codes applications, translates use cases to working solutions, and creates architectural level designs. Maintains software engineering expertise and devises strategies and initiatives for increased effectiveness.

• Fluent in a variety of applicable programming languages, software, and systems. 
• Independently oversee, lead, and contribute to diverse software development projects. This includes database design and ETL processes, advanced machine vision algorithms, bioinformatics, and deep learning models for image and data processing, ideally in a comparable field or industry segment.
• Develop and implement both algorithmic as well as conceptual workflows and integration solutions for large scale biological data processing, ideally using next generation sequencing, genomics, and/or related “omics” data sources.
• Provide proven research skills in data science, statistics, data modeling, machine learning, and/or related fields as documented by peer-reviewed publications. Experience in scientific and/or grant writing a plus.
• Ensure effective communications in scientific stakeholder engagement and project management on data analytical project collaborations.
• Represent QA at cross-functional meetings, providing input, and decision making.
• 8+ years’ experience in a comparable position with proven performance record.

This position is primarily sedentary but may require occasional walking between offices.

The University of Pittsburgh is committed to championing all aspects of diversity, equity, inclusion, and accessibility within our community. This commitment is a fundamental value of the University and is crucial in helping us advance our mission, which includes attracting and retaining diverse workforces. We will continue to create and maintain an environment that allows individuals to discover, belong, contribute, and grow, while honoring the experiences, perspectives, and unique identities of all.

The University of Pittsburgh is an Affirmative Action/Equal Opportunity Employer and values equality of opportunity, human dignity and diversity. EOE, including disability/vets.