Research Data Engineer II
Rochester, NY
GENERAL PURPOSE:
The McCall Research Group at the University of Rochester is seeking a highly trained, motivated, and passionate Statistical Programmer to join a collaborative research group focused on statistical genomics and systems biology. The McCall Research Group works with a variety of high dimension genomic data types including, but not limited to mRNA-seq (bulk and single-cell), microRNA-seq, ATAC-seq, whole genome and exome sequencing, methylation sequencing, and Perturb-seq data. The Statistical Programmer will be reasonsible for developing, testing, documenting, and maintaining code that implements the statistical and computational methods developed in the McCall Research Group. The initial appointment will be for 2 years with reappointment based on performance and availability of funding.
JOB DUTIES AND RESPONSIBILITIES:
Develops, tests, and documents codeimplementing the statistical and computational methods developed in the McCall Research Group.
Responsible for optimizing and parallelizing codeimplementing the statistical and computational methods developed in the McCall Research Group.
Maintains code implementing the statistical and computational methods developed in the McCall Research Group.
Training other members of the McCall Research Group in the use of the developed code.
Participates in weekly research project meetings.
Writes reports, co-authors manuscripts, and assists with grant preparation.
Other duties as assigned
QUALIFICATIONS:
Bachelor's degree in Data Science, Biomedical Science, Computer Science, Mathematics, Statistics or similar discipline required. 2 years of experience in technology and data intensive roles and environments required including programming experience in SQL and one other applicable language (Java, Python and/or R), Change Management solutions and Version Control solutions (e.g. Git) or equivalent combination of education and experience. Preferred experience: Experience implementing and supporting data management systems in a scientific, research context (e.g. biospecimen software, electronic laboratory notebooks, REDCap); Experience with Linux, container and cloud technologies (e.g. HPC, IaaS and PaaS). Required knowledge, skills and abilities: Understanding of data analytics and statistical methods; Expertise of software engineering best practices such as version control and software release management; Strong analytical and problem solving skills; Strong organizational skills; Ability to work with others in a matrix management environment; Excellent communication skills for describing progress and challenges to stakeholders; Attention to detail, patience and a positive, customer-centric attitude; Strong technical presentation skills; Demonstrated ability to develop proficiency with unfamiliar toolsets. Familiarity with file formats, metadata, and data exchange and storage standards applicable in management of scientific and clinical research preferred.
The University of Rochester is committed to fostering, cultivating, and preserving a culture of equity, diversity, and inclusion to advance the University’s mission to Learn, Discover, Heal, Create – and Make the World Ever Better. In support of our values and those of our society, the University is committed to not discriminating on the basis of age, color, disability, ethnicity, gender identity or expression, genetic information, marital status, military/veteran status, national origin, race, religion/creed, sex, sexual orientation, citizenship status, or any other status protected by law. This commitment extends to the administration of our policies, admissions, employment, access, and recruitment of candidates from underrepresented populations, veterans, and persons with disabilities consistent with these values and government contractor Affirmative Action obligations.
How To Apply
All applicants must apply online.
EOE Minorities/Females/Protected Veterans/Disabled
Location: School of Medicine & Dentistry
Full/Part Time: Full-Time
Opening: Full Time 40 hours Grade 53 Biostats Computational Biology
Schedule: 8 AM-5 PM