Job Information
University of Pittsburgh Director-Software Engineering in Pittsburgh, Pennsylvania
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.
Job Summary
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.
Essential Functions
- 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.
Physical Effort
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.
Assignment Category: Full-time regular Job Classification: Staff.Director - Software Engineering Job Family: Information Technology Job Sub Family: Software Engineering Campus: Pittsburgh Minimum Education Level Required: Bachelor's Degree Minimum Years of Experience Required: 7 Will this position accept substitution in lieu of education or experience: Combination of education and relevant experience will be considered i lieu of education and/ or experience requirement. Work Schedule: Monday - Friday; 8:30am - 5:00pm Work Arrangement: Monday - Friday; 8:30am - 5:00pm Hiring Range: TBD Based Upon Qualifications Relocation_Offered: No Visa Sponsorship Provided: No Background Check: For position finalists, employment with the University will require successful completion of a background check Child Protection Clearances: Not Applicable Required Documents: Resume Optional Documents: Not Applicable PI239736004