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Job Requirements of Senior Bioinformatics Scientist:
-
Employment Type:
Contractor
-
Location:
Cambridge, MA (Onsite)
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Senior Bioinformatics Scientist
Careers Integrated Resources Inc
Cambridge, MA (Onsite)
Contractor
Job Title: Senior Bioinformatics Scientist
Location: Cambridge, MA
Duration: 24 Months
Pay Rate: $95 - $100/hr. on w2
Summary:
Key Responsibilities:
Qualifications:
Required Qualifications, skills and experience: -
Preferred Qualifications:
Note:
Key skills:
#sczr2
Location: Cambridge, MA
Duration: 24 Months
Pay Rate: $95 - $100/hr. on w2
Summary:
- The Precision Genetics group within the Data and Genome Sciences Department is seeking a skilled Contractor to join our Computational Precision Genetics team.
- We are looking for a data scientist with extensive experience in genetic data analysis to contribute to our innovative research efforts.
Key Responsibilities:
- Data Ingestion: Query external databases to acquire relevant genetic/genomic datasets (e.g., dbSNP, 1000 Genomes Project, gnomAD, GTEx, Ensembl, Open Targets, ClinVar).
- Genetic/Genomic Data Analysis: Perform quality control (QC) and analysis of genetic/genomic data, including genotype imputation from array data, variant calling and annotation using state-of-the-art methods (e.g., IMPUTE, Minimac, Eagle, BEAGLE, GATK, bcftools, samtools, ANNOVAR).
- QTL Analysis: Conduct QTL analysis to identify genetic loci associated with quantitative traits, utilizing tools such as PLINK, R/qtl, or TASSEL.
- Population Genetics Analysis: Analyze genetic variation across populations, including allele frequency estimation, linkage disequilibrium, and population structure analysis.
- Data Integration: Integrate genetic datasets with other omics data, including genomic, epigenomic, transcriptomic and proteomic data, to provide comprehensive insights into gene function and regulation.
- Documentation: Prepare detailed documentation of analysis methods and results in a timely manner.
Qualifications:
Required Qualifications, skills and experience: -
- Minimum: Ph.D. in Genetics, Genomics, Computational Biology, or a related field.
- A proven track record of over 5 years in genetic data analysis.
- Fundamental understanding of statistical methods and genetic data analysis and integration (e.g., variant analysis, population genetics, genomic annotations).
- Proficiency in R, Python, and Bash, with the ability to establish best practices for reproducible data analyses.
- Experience with high-performance computing (HPC) systems and AWS Cloud Computing (e.g., IAM, S3 buckets).
- A collaborative and self-motivated individual with a strong work ethic, capable of managing multiple objectives in a dynamic environment and adapting to changing priorities.
- Excellent written and verbal communication skills.
Preferred Qualifications:
- Experience with real-world genetic data processing and analysis.
- Proficient in genetic/genomic data analysis tools and techniques.
- Understanding of statistical genetics principles and methods.
- Expertise in AI/ML.
Note:
- Onsite role at Cambridge, MA.
- Do not submit candidates who are looking for remote.
- Do not submit candidates with just BS/MS.
Key skills:
- Proficient in genetic/genomic data analysis tools and techniques-e.g., variant analysis, population genetics, genomic annotations.
- Proficiency in R, Python, and Bash.
- High-performance computing (HPC) systems and AWS Cloud Computing (e.g., IAM, S3 buckets).
#sczr2
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