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Bioinformatics Scientist - III (Senior)
320 Bent Street East Cambridge, MA 02141 US
Job Description
Target Pay Rate: 80-100.56/hr **salary will be commensurate with experience
Job Description:
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).
Equal Opportunity Employer: We are proud to be an equal opportunity employer. We welcome and encourage applications from all qualified candidates regardless of race, sex, gender identity or expression, disability, age, religion or belief, sexual orientation, or any other characteristic protected by applicable laws and regulations. It is our policy not to discriminate against any applicant or employee, and we are committed to fostering a diverse, inclusive, and respectful work environment across all locations in which we operate. We believe that diversity, equity, and inclusion are fundamental to our mission and enhance our ability to serve clients globally. If you have a disability or require any reasonable accommodations during the application or interview process, please inform your recruiter or contact us directly so that we can explore the appropriate arrangements.
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