at Spectraforce Technologies Inc. in Lake Villa, Illinois, United States
Job Description
Job Title: Bioinformatics/Computational Biologist
Duration: 6 Months
Location/Site: Remote OK
Schedule: 9AM-5PM CT or ET
What are the top 3-5 skills, experience or education required for this position:
1 Strong proficiency in R programming for bioinformatics workflows
2 Familiarity with curating/analyzing GWAS and genetics data, and transcriptomics data.
3 Ability to critically evaluate experimental design, QC and suggest improvements.
4 Experience working in HPC or cloud environment
5 Knowledge and proficiency in basic statistical concepts.
What is a nice to have (but not required) regarding skills, experience, education, or certification: Experience in immunological disease area.
Services Overview:
This role involves support for the integration, organization, and analysis of large and complex multi-omics datasets, but not limited to transcriptomics, genetics, and epigenetics. A vital part of this role includes ensuring the precision, quality, and comprehensiveness of our dataset repositories. The successful candidate will work in synergy with cross-functional and inter-organizational teams of research scientists. They will apply, refine, and expand established workflows for effective multi-omic data curation and analysis.
Key Responsibilities:
Curate and standardize GWAS summary statistics datasets ensuring accuracy and consistency.
Annotate genomic variants using established tools and databases.
Map SNPs to genes and determine their functional relevance.
Analyze transcriptomic datasets, including but not limited to bulk and single-cell RNA sequencing, to derive actionable insights.
Collaborate intimately with research teams to comprehend specific data requirements and applications.
Curate, maintain, and contribute to the project codebase.
Qualification:
Masters with 1+ year of experience or PhD degree in the quantitative sciences (Bioinformatics, Computer Science, Computational Genetics, Mathematics, Statistics, or a related field).
Proven capability in designing and implementing bioinformatics workflows and corresponding github codebase repositories in R programming and comfortable operating in a Unix/Linux and High-Performance Computing (HPC) environment.
Familiarity with genome-wide association studies, particularly in fine mapping and colocalization from GWAS summary data is expected.
Hands-on experience in curating and processing transcriptomic datasets, especially bulk and single-cell RNA-Seq, with the ability to conduct corresponding downstream analyses would be advantageous.
Knowledge and proficiency in basic statistical concepts, e.g. p-value, odds ratio, effect size, multiple testing correction, familiarity with Bayesian approaches employed for colocalization analysis would be advantageous.
Previous experience in immunological diseases or rare disease genetics is a plus
Note: The Company is committed to complying with the California Privacy Rights Act ("CPRA") effective January 1, 2023; and all data privacy laws in the jurisdictions in which it recruits and hires employees. A Notice to California Job Applicants Regarding the Collection of Personal Information can be located on our website. Applicants with disabilities may access this notice in an alternative format by contacting NAhr@spectraforce.com.
SPECTRAFORCE is an equal opportunity employer and does not discriminate against any employee or applicant for employment because of race, religion, color, sex, national origin, age, sexual orientation, gender identity, genetic information, disability or veteran status, or any other category protected by applicable federal, state, or local laws. Please contact Human Resources at nahr@spectraforce.com if you require reasonable accommodation.
