Senior Bioinformatics Scientist

Net2Source Inc.; Cambridge (MA); On-site; USD 90,000 - 100,000; Full time

Job summary

A leading company in biotechnology is seeking a Bioinformatics Scientist in Cambridge, MA. The role involves analyzing genetic data using advanced tools and techniques, contributing to innovative research in precision genetics. Ideal candidates will have a Ph.D. and extensive experience in genetic data analysis, with proficiency in programming languages such as R and Python.

Qualifications

• Minimum 5 years experience in genetic data analysis.
• Proficiency in R, Python, and Bash required.
• Experience with HPC systems and AWS Cloud Computing.

Responsibilities

• Perform quality control and analysis of genetic/genomic data.
• Conduct QTL analysis and analyze genetic variation across populations.
• Integrate genetic datasets with other omics data.

Skills

Genetic data analysis

R

Python

Bash

High-performance computing (HPC)

AWS Cloud Computing

Education

Ph.D. in Genetics, Genomics, Computational Biology, or related field

Job description

1 day ago Be among the first 25 applicants

This range is provided by Net2Source Inc.. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$90.00/yr - $100.00/yr

Direct message the job poster from Net2Source Inc.

Net2Source Inc. is an award-winning total workforce solutions company recognized by Staffing Industry Analysts for our accelerated growth of 300% in the last 3 years with over 5500+ employees globally, with over 30+ locations in the US and global operations in 32 countries. We believe in providing staffing solutions to address the current talent gap – Right Talent – Right Time – Right Place – Right Price and acting as a Career Coach to our consultants.

Company: One of Our Clients

Job Description:

Job Title: Bioinformatics Scientist

Location: Cambridge, MA 02141

Duration: 24+ Months (Extendable)

Pay Rate: $100.00/hr on W2

• 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).

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.

Responsibilities:

Location: Cambridge, MA

Department: Data and Genome Sciences

Group: Precision Genetics

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.

Awards and Accolades:

America's Most Honored Businesses (Top 10%)

Awarded by USPAAC for Fastest Growing Business in the US

12th Fastest Growing Staffing Company in USA by Staffing industry Analysts in the US (2020, 2019, 2020)

Fastest 50 by NJ Biz (2020, 2019, 2020)

INC 5000 Fastest growing for 8 consecutive years in a row (only 1.26% companies make it to this list)

Top 100 by Dallas Business Journal (2020 and 2019)

Proven Supplier of the Year by Workforce Logiq (2020 and 2019)

2019 Spirit of Alliance Award by Agile1

2018 Best of the Best Platinum Award by Agile1

2018 TechServe Alliance Excellence Awards Winner

2017 Best of the Best Gold Award by Agile1(Act1 Group)

Regards,

Kajal Singh

Senior IT Recruiter (Pharma and Life Sciences)

Net2Source Inc.

Global HQ Address –270 Davidson Ave, Suite 704, Somerset, NJ 08873, USA

Office: [phone] x 980 | Cell: [phone] | Fax: [phone]| Email: [e-mail]

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Science, Manufacturing, and Quality Assurance

• Industries

  Biotechnology Research and Pharmaceutical Manufacturing

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