Senior Data Scientist - JR29439-3800
This job was posted by https://illinoisjoblink.illinois.gov : For more
information, please see: https://illinoisjoblink.illinois.gov/jobs/12575573 **Department**
BSD MED - Genetic Medicine - Blekhman Research Staff
**About the Department**
The Section of Genetic Medicine continues to shape the future ofpersonalized medicine with successful research programs focused on the
quantitative genetic and genomic science. The Section provides extremely
valuable collaborations with investigators in the Department of Medicine
who are seeking to develop new and more powerful ways to identify
genetic risk factors for common, complex disorders with almost immediate
clinical application.
**Job Summary**
The Blekhman Lab at the University of Chicago is looking for a SeniorData Scientist to lead and direct computational genomics projects. The
position is aimed towards a senior, PhD-level scientist with strong
quantitative expertise. This senior computational scientist position
offers an exciting opportunity to lead bioinformatics initiatives in a
dynamic academic research environment focused on cutting-edge genomics.
The successful candidate will spearhead computational projects from
conception to publication, develop innovative analytical methods for
genomic data analysis, and provide essential technical leadership across
the lab/'s research portfolio. Working directly with the principal
investigator and guiding lab members, you will build and optimize
bioinformatic pipelines, contribute to grant proposals and manuscripts, and manage the lab/'s computational infrastructure. This role is ideal
for a collaborative computational biologist who thrives at the
intersection of genomics, data science, and mentorship, with the ability
to translate complex biological questions into effective computational
solutions while advancing the lab/'s research impact in the field.
**Responsibilities**- Lead computational genomics projects from conception to completion,
management, results presentation, and manuscript preparation.
- Analyze genomic data using various bioinformatic tools and
data processing.
- Lead, coordinate, and contribute to grant writing efforts related to
- Design and apply innovative analytical methods for genomic data
- Work closely with the principal investigator, lab members,
all levels of scientific research in the lab.
- Provide bioinformatics mentorship and technical support to lab
improvement.
- Create and maintain open-source software and databases, actively
- Contribute to writing and editing of scientific research papers.
- Develop and document of high-performance computing protocols and
- Manage the lab/'s computational infrastructure, including storage,
- Onboard new team members into the lab/'s digital collaboration
- Directly supervise bioinformatics staff.
- Has a deep understanding of methods to analyze complex data sets for
information. May develop and maintain infrastructure that connects
data sets.
- Guides staff or faculty members in defining the project and applies
applications, programming, analysis and modeling.
- Performs other related work as needed.
**Minimum Qualifications**
**Education:**
Minimum requirements inc ude a college or university degree in relatedfield.
**Work Experience:**
Minimum requirements include knowledge and skills developed through 5-7years of work experience in a related job discipline.
**Certifications:**
**/-/--**
**Preferred Qualifications**
**Education:**- Advanced degree in Biology, Bioinformatics, Computational Biology,
field.
**Experience:**- Experience with analysis of genomic data using bioinformatics and
- Supervisory experience.
- Experience in project management.
**Preferred Competencies**
Strong organizational skills and ability to manage and lead projects, set priorities and meet deadlines.
Strong communication, presentation, and writing skills.
Knowledge of next generation sequencing technologies and data.
Knowledge in computer programming with languages such as Perl, Python, R, Java, C/C++.
Knowledge in bioinformatics methods and statistical tools for theanalyses of genomic data.
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