Senior Bioinformatics Scientist

Integrated Resources, Inc ( IRI ); Cambridge (MA); On-site; USD 80,000 - 100,000; Full time

Job summary

A leading company in the biotechnology sector is seeking a skilled Contractor to join their Computational Precision Genetics team. This role focuses on genetic data analysis, requiring a Ph.D. and 5+ years of experience. Applicants should be proficient in R, Python, and Bash, with a strong understanding of statistical genetics. The position is primarily onsite in Cambridge, MA, and offers competitive hourly pay.

Qualifications

• Proven track record of over 5 years in genetic data analysis.
• Fundamental understanding of statistical methods and genetic data analysis.
• Excellent written and verbal communication skills.

Responsibilities

• Query external databases for relevant genetic datasets.
• Perform quality control and analysis of genetic/genomic data.
• Conduct QTL analysis to identify associated genetic loci.

Skills

Data Ingestion

Genetic Data Analysis

Quality Control

QTL Analysis

Population Genetics Analysis

Data Integration

Documentation

Education

Ph.D. in Genetics, Genomics, Computational Biology

Tools

R

Python

Bash

AWS Cloud Computing

High-Performance Computing

Job description

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Integrated Resources, Inc ( IRI ) provided pay range

This range is provided by Integrated Resources, Inc ( IRI ). Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$95.00/hr - $100.00/hr

Direct message the job poster from Integrated Resources, Inc ( IRI )

Hiring Clinical/ Regulatory Professionals!!

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.

Quals--

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.
• 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).

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Other

• Industries

  Pharmaceutical Manufacturing and Biotechnology Research

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