We have partnered with a large biotechnology company in the South San Francisco, CA area to provide them with a Senior Genetic Data Scientist – Statistical Geneticist (REMOTE).
Please review the below description and let us know if you are interested.
Responsibilities of the Senior Genetic Data Scientist – Statistical Geneticist:
- Will lead the development of cutting-edge statistical approaches and workflows to analyze large-scale human cohorts with genetic and multi-dimensional, multi-modality phenotypic data. These will be obtained from public sources, as well as private datasets generated in-house and obtained through our collaborations.
- Use genetic association and other statistical genetics techniques that involve the integration of genetic, genomic, and clinical data to guide in vitro disease model development.
- Work closely with a cross-functional team of life scientists, bioengineers, and machine learning scientists to integrate human-level data with our high-throughput in-house in vitro genomic and phenotypic data to identify therapeutic targets and develop drugs that have high efficacy and low toxicity.
Requirements of the Senior Genetic Data Scientist – Statistical Geneticist:
- Ph.D. in statistics, genetics, computational biology or a related discipline, or equivalent practical experience
- Demonstrated ability to use and develop cutting edge methods for analyzing human genetic data
- Hands-on experience with genetic association testing (eQTL mapping, GWAS, EWAS, PheWAS, etc.) and/or post-association analysis using summary statistics (fine mapping, colocalization, LD score regression, meta-analysis, etc.)
- Experience mining modern, large-scale genetic databases (e.g. ExAC/gnomAD, UK Biobank, UK10K, EBI GWAS Catalog, 1KG, etc.)
- Strong fundamentals in applied multivariate statistics; experience working with statistical models for complex datasets, effectively measuring the goodness of fit and estimating confidence
- Proficiency in working with large-scale datasets in Python; experience with R, C/C++, or other compiled, statically typed languages is a plus
- Ability to communicate effectively and collaborate with people of diverse backgrounds and job functions
Nice to have experience for the Senior Genetic Data Scientist – Statistical Geneticist:
- Experience working with multi-dimensional phenotypes
- Experience working with genomic data from different modalities (DNA sequencing, RNA-seq, proteomics, DNA accessibility assays, etc.)
- Experience integrating genetic studies from diverse populations, including correcting for population structure, ethnicity or differences between genotyping platforms
- Experience applying quantitative trait loci (QTL) approaches to clinical data, including imaging data
- Familiarity with cloud computing services (e.g., AWS or GCP) and workflow management tools or batch scheduling systems (e.g. SLURM)
- Proficiency in Linux environment (including shell/Bash scripting), experience with database languages (e.g., SQL) and experience with version control practices and tools (e.g. Git)
Benefits of the Senior Genetic Data Scientist – Statistical Geneticist:
- Medical Insurance
- Dental Insurance
- Vision Insurance
Company Description:Relevante is an innovative recruiting, staffing, and consulting firm. We help our clients find the best talent for their mission-critical positions and we help candidates find rewarding and enriching careers. Our consultative approach to solving resourcing challenges for our clients is driven by our industry-specific knowledge, our strong recruiting capabilities, and our agility.
We support our clients’ goals through results-driven execution, planning, and management of accounting and technology initiatives. Relevante’s resourceful and responsive teams bring deep technology and accounting expertise, thought leadership, and business-relevant solutions to each and every partnership. Our clients appreciate our can-do attitude, value our results, and keep coming back.
Founded in 2002, we have grown through a culture of operational excellence, a passion for client satisfaction, technology innovation, and a global, collaborative workforce that embodies the future of work. Our success is built on a clear strategic direction and a shared belief in its ability to shape your business landscape and accelerate business growth.