What are the responsibilities and job description for the Computational Scientist: Human Genetics position at Software Guidance & Assistance?
Job Details
Software Guidance & Assistance, Inc., (SGA), is searching for a Computational Scientist: Human Genetics for a CONTRACT assignment with one of our premier Pharmaceutical Services clients in South San Francisco, CA.
Responsibilities:
SGA is an Equal Opportunity Employer and does not discriminate on the basis of Race, Color, Sex, Sexual Orientation, Gender Identity, Religion, National Origin, Disability, Veteran Status, Age, Marital Status, Pregnancy, Genetic Information, or Other Legally Protected Status. We are committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, and our services, programs, and activities. Please visit our company to request an accommodation or assistance regarding our policy.
Responsibilities:
- Collaborate with scientists in Human Genetics department to analyze large datasets of genetic, genomic, and clinical data from internal studies (including our clinical trials and high throughput screens), collaborations with academic and industry partners, and public external data sets
- Develop analytical approaches to integrate and interpret these data, delivering insights into disease biology to propel our translational goals
- Coordinate the intake and preparation of new datasets as they become available for analysis
- Document process, findings, and code
- Present findings to the department and cross-functional collaborators and contribute to publications
- Extensive experience in large-scale genetic/genomic data analysis including one or more of the following areas of expertise:
- Understanding of principles of genetic epidemiology
- Association analysis with array- and sequence-based genetic data
- Analysis of sequence-based molecular assay data (eg RNA-Seq) including differential expression methods, single-cell sequencing data (eg scRNA-Seq, scATAC-Seq) and/or proteomic data
- Integration of genetic and molecular data for multimodal analyses
- PhD (or Masters with significant experience) in Statistical Genetics, Computational Biology, Bioinformatics, Genetic Epidemiology, or a related field
- Fluent in R, python, and shell scripting. Some familiarity with C will be a plus
- Experience working with git and high performance computing (e.g. the slurm scheduling manager)
- Curiosity and desire to learn more about human genetics, bioinformatics, and biology
- Ability to produce high-quality analysis results with minimal supervision. This includes meeting key deadlines and making sensible independent decisions
- Good communication skills and experience working as part of a team
SGA is an Equal Opportunity Employer and does not discriminate on the basis of Race, Color, Sex, Sexual Orientation, Gender Identity, Religion, National Origin, Disability, Veteran Status, Age, Marital Status, Pregnancy, Genetic Information, or Other Legally Protected Status. We are committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, and our services, programs, and activities. Please visit our company to request an accommodation or assistance regarding our policy.
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