Scientific Programmer

Key Skills

Data cleaning / Data cleansing, Data science techniques, Effective communication skills, R Programming, RNA-seq Data processing, Statistics, Teamwork

Job Description

The Milner lab in the Division of Pediatric Allergy Immunology and Rheumatology seeks a highly organized, detail-oriented and enthusiastic candidate to support the research program in rare and common genetic diseases of the immune system. We are looking for a scientific programmer who will be responsible for creating data capture mechanisms, data organization, and data analysis; however, responsibilities will primarily concern data extracted from internal and public genomic and transcriptomic databases. The ideal candidate is passionate about the intersection between precision medicine, biological pathways, and genomics; a creative problem-solver who can think outside the box; and can develop and/or recommend tools for efficient analysis of data by other lab members.

At CUIMC, we are leaders in teaching, research, and patient care and are proud of the service and support we provide to our community. We apply the same rigor in our commitment to fostering an inclusive, thriving community and caring for our employees and their loved ones. We offer immediate eligibility and invest in our employees’ families through comprehensive Health and Welfare, Employee Assistance, Tuition Programs, and Retirement Benefits.

“Subject to business needs, we may support flexible and hybrid work arrangements. Options will be discussed during the interview process”

Responsibilities

• Apply statistical principles and methods relevant to computational genomics to execute genetic analyses as required by the funded research projects.
• Collaborating with informaticians and researchers to define and develop appropriate solutions for various research needs.
• Applying a thorough and methodical approach to organizing and cleaning data.
• Structuring analytical results in an organized manner.
• Using effective written and verbal communication skills to present analysis and results to diverse stakeholders.
• Implementing, testing, modifying and debugging programming code in R and other programming languages.
• Devising accessible analytic and database tools for non-computational scientists.
• Contribute to the collaborative projects performed by the lab.
• Participate in the analysis of genetic data generated by projects that may include eMERGE (Electronic Medical Records and Genomics), UK Biobank, All-of-Us etc.
• Work with exome or genome sequence and RNA sequence data.
• Assist with genome and transcriptome interpretation.
• Supervise and teach students, post-docs, or junior analysts.
• Attend all required team meetings on a regular basis.
• Performs related duties & responsibilities as assigned/requested.

Minimum Qualifications

• Bachelor’s degree or equivalent in education and experience required; plus, three years of related experience.

Preferred Qualifications

• Bachelor's degree in computer science, data science or related field.
• Experience with statistical analysis methods used in research.