As a member of a data science team, you will use creativity and innovation to solve conceptual programming problems raised by our cutting edge research in data-intensive systems.Programming includes full stack from tools to algorithms to user interfaces, based on your interests and qualifications.Our projects focus on biomedical informatics and include management, sharing, and provenance of large data sets; data modeling and transformation; large-scale pipelining of next-generation sequence analysis; resource visualization; and standards development. This work will span web front ends, back end services that scale, API's, databases, automation tools, and cybersecurity. You may have an opportunity to participate in our open-source developer community, represent our group at technical meetings, give presentations at conferences, and contribute to publications and grant proposals.
This at-will position is wholly or partially funded by extramural funds (e.g., grant, gift, endowment) which is renewed under provisions set by the grantor. Employment will be contingent upon the continued receipt of these extramural funds and satisfactory job performance. If this position is eliminated due to the discontinuation of extramural funding, you will be given a minimum of one pay period's written notice (if exempt: 30 days, if non-exempt: 2 weeks), or pay in-lieu of notice.
Develop and/or adapt software applications and projects, interfacing with different roles on the data science team to identify and determine requirements.
Conducts detailed system analysis to define scope, objectives, and implementation approach.
Design, code, test, debug, install, and maintain applications following established team processes including design and code reviews as appropriate.
Conduct testing to verify functionality and performance prior to release, providing test reports and conducting bug fixes as needed.
Prepare developer and user documentation within established standards and participate in team knowledge sharing activities.
Proficient in one or more common programming languages..
Knowledge of software verification and validation processes and procedures.
Excellent debugging and trouble shooting skills.
Ability to prioritize and manage workload to meet critical project milestones and deadlines.
Ability and willingness to acquire new programming languages and knowledge about new technologies.
Ability to work in a collaborative team environment.
Excellent technical communication skills.
Education, Experience, and Certifications:
Bachelor's degree in computer science, mathematics, statistics, engineering, or a related field required.
Master's degree in computer science, mathematics, statistics, engineering, or a related field preferred.
Minimum of two (2) years of programming experience required.
Demonstrated experience programming in Python, Java, or Ruby required.
Database experience required.
Version control experience required.
Software testing experience required.
Linux/Unix experience preferred.
Experience working across the full software development lifecycle preferred.
Experience working within agile project management methodology preferred.
Experience collaborating on open-source programming projects preferred.
Experience within the bioinformatics domain preferred.
NOTE: When applying, all required documents MUST be uploaded under the Resume/CV section of the application
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