"Software/Database Programmer"

Overview

The Kleinstein Lab (Program in Computational Biology & Bioinformatics and Department of Pathology, Yale School of Medicine,) is seeking a highly motivated software/database programmer. The successful candidate will work in a highly dynamic team environment to develop, integrate, and oversee data collection interfaces and management systems, as well as bioinformatics analysis software. These systems will support a diverse array of human immune profiling studies in collaboration with computational, laboratory and clinical investigators. Responsibilities include working as part of Human Immunology Project Consortium (HIPC) to revolutionize data utilization and reanalysis within the broader NIH research community, by developing the cutting-edge data standards and dynamic data extraction pipelines. Communicating with labs for quality data collection, and implementation of efficient database systems for data storage and data sharing; Submitting demographic and high-throughput immune profiling data (gene expression, flow cytometry, NGS, etc.) to NIH-funded database, such as ImmPort, GEO, SRA, etc. Managing and maintaining the lab's computer systems. This role involves installing, configuring, and updating hardware and software, troubleshooting technical issues to minimize downtime, implementing data backup and recovery solutions. Application of bioinformatics/statistical methods in support of the projects is also a possibility depending upon experience.

Required Skills and Abilities

1. Solid knowledge of and ability to apply standard software development principles, theories, concepts, and techniques.
2. Advanced knowledge of source code management and version control, including experience with tools such as Git/Mercurial, GitHub/Bitbucket, Docker, etc.
3. Strong programming skills in Python, R, and *nix shell scripting.
4. Database management experience, ideally related to clinical or lab studies in a biomedical field; concrete understanding of genomic tools and repositories. Familiarity with multiple operating systems including Linux, Unix, Windows.
5. Excellent communication and collaboration skills.

Preferred Education, Experience and Skills

Master's or Doctorate degree in Bioinformatics, Computer Science, Biology, or related field (or equivalent experience).

Principal Responsibilities

1. Design, analyze, code, test, debug, document and maintain moderately complex enterprise systems; develop enhancements that enable a positive end-user experience.
2. Research, analyze, design, document, and modify software specifications throughout the production life cycle.
3. Create and implement project specifications/plans for projects with straightforward inter-dependency with other systems and/or projects.
4. Modify moderately complex application programs from detailed specifications.
5. Develop and validate test routines and schedules, evaluate code to ensure that it is valid, is properly structured, meets industry standards and is compatible with browsers, devices, or operating systems.

Required Education and Experience

Bachelor's Degree and four years of experience or equivalent education and experience.