The Department of Biomedical Informatics (DBMI) Data Science Programmer (DSP) position is the key consultant on our technical team to drive analytical software application development for the Research Informatics Office. The DSP must be proficient with R, Python, SQL, and Unix/Linux and software repositories such as Git. The DSP must have independent experience in data science (machine learning) by having implemented such analyses with clinical data. Must possess expert knowledge of research methodology, and statistics in particular, in order to work with a high level of autonomy. The ability to design and implement analytic software is required. Experience with best practices in modern software development, including agile development practices, source-code control systems, testing and test-driven development, code reuse and API design and documentation is highly-desirable.
As a member of a team conducting novel biomedical research, the DSP will need to look beyond the code, building a deep understanding of the problem domain and resulting implications for software design and independent analytic approach. Detailed work with collaborating scientists and other stakeholders will be required, often with the implicit requirement of learning the details of a new and unfamiliar field.
At DBMI state-of-the-art software tools and systems to support cutting-edge biomedical research are being created and used daily. DBMI is currently working on projects involving big data including large-scale electronic health record data, genomic data, information integration for personalized medicine, creating distributed research data networks, and related topics united under the common theme of translational informatics: using information systems to move basic scientific insights into meaningful medical care. In addition, DBMI is the home to a large graduate training program in biomedical informatics. The DSP will combine data science knowledge and technical expertise, curiosity and willingness to learn about new domains and to work flexibly with inter-disciplinary teams serving as a direct independent technical consultant in Data Science with investigators across the University and for inter-institutional collaborations.
Master's Degree required in Computer Science, Information Science, or other highly data-driven field such as Bioinformatics, Economics, or Statistics. Technical qualifications: modeling, hypothesis testing and Bayesian statistical methods, machine learning, website development, programming languages including at least Python, R, and SQL. Experience on Unix or Linux. Demonstrated work in academic environment with data from electronic health records.
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: Fulltime-Regular
Job Classification: Staff.Systems/Programmer.IV
Minimum Education Level Required: Master's
Minimum Experience Level Required: 3-5 years experience
Work Schedule: Monday - Friday, 8:30 am - 5:00 pm
Hiring Range: TBD Based on 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, Cover Letter
Internal Number: 20002382
About University of Pittsburgh
Founded in 1787, the same year the U.S. Constitution was signed, the University of Pittsburgh is one of the oldest institutions of higher education in the United States. One of three state-related research universities in Pennsylvania, Pitt is a member of the Association of American Universities (AAU), which comprises 62 preeminent doctorate-granting research institutions in North America.Pitt faculty members have expanded knowledge in the humanities and sciences, earning such prestigious honors as the National Medal of Science, the MacArthur Foundation’s “genius” grant, the Lasker-DeBakey Clinical Medical Research Award, and election to the National Academy of Sciences and the Institute of Medicine. Pitt scientists have defeated polio, unlocked the secrets of DNA, lead the world in organ transplantation, and pioneered TV and heavier-than-air flight, among numerous other accomplishments.Pitt students have earned Rhodes, Goldwater, Marshall, and Truman Scholarships, among other highly competitive national and international scholarships.Alumni have pioneered MRI and TV, won Nobel and Pulitzer Prizes, led corporations and universities, served in government and the military, conquered Hollywood and The New York Times bestsellers list, and won Super Bowls and NBA championships.