Bioinformatics Scientist - III (Senior)

Planet Pharma; Cambridge (MA); On-site; Full time

Job summary

A leading company in staffing and recruiting is seeking a Bioinformatics Scientist - III to join their Precision Genetics group. The ideal candidate will have a Ph.D. and extensive experience in genetic data analysis, contributing to innovative research efforts. Responsibilities include data ingestion, analysis, and integration of genetic datasets, requiring proficiency in R, Python, and high-performance computing. This full-time role is based onsite in Cambridge, MA.

Qualifications

• Over 5 years of experience in genetic data analysis.
• Proficiency in R, Python, and Bash.
• Experience with high-performance computing and AWS Cloud Computing.

Responsibilities

• Query external databases for genetic/genomic datasets.
• Perform quality control and analysis of genetic/genomic data.
• Conduct QTL analysis and analyze genetic variation across populations.

Skills

Genetic data analysis

Statistical methods

R

Python

Bash

High-performance computing

AWS Cloud Computing

Documentation

Communication skills

Education

Ph.D. in Genetics, Genomics, Computational Biology

Job description

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Job Description

Target Pay Rate: 80-100.56/hr — salary will be commensurate with experience

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:

1. Data Ingestion: Query external databases to acquire relevant genetic/genomic datasets (e.g., dbSNP, 1000 Genomes Project, gnomAD, GTEx, Ensembl, Open Targets, ClinVar).
2. 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).
3. QTL Analysis: Conduct QTL analysis to identify genetic loci associated with quantitative traits, utilizing tools such as PLINK, R/qtl, or TASSEL.
4. Population Genetics Analysis: Analyze genetic variation across populations, including allele frequency estimation, linkage disequilibrium, and population structure analysis.
5. 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.
6. Documentation: Prepare detailed documentation of analysis methods and results in a timely manner.

Qualifications:

Required Qualifications, skills and experience:

• Ph.D. in Genetics, Genomics, Computational Biology, or a related field.
• Over 5 years of proven experience in genetic data analysis.
• Fundamental understanding of statistical methods and genetic data analysis and integration.
• 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).
• Collaborative, self-motivated, with a strong work ethic, capable of managing multiple objectives and adapting to changing priorities.
• Excellent written and verbal communication skills.

Preferred Qualifications:

• Experience with real-world genetic data processing and analysis.
• Proficiency 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 seeking remote work.
• Candidates should have at least a Ph.D.; BS/MS candidates are not suitable.

Additional Information:

• Seniority level: Not Applicable
• Employment type: Full-time
• Job function: Research, Analyst, and Information Technology
• Industry: Staffing and Recruiting

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