Bioinformatics Scientist - III (Senior) - Leading Industry Pay

salary Salary :

$106.65 - 106.65 hourly

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Job Description - Bioinformatics Scientist - III (Senior) - Leading Industry Pay

We are seeking an experienced Bioinformatics Scientist - III (Senior) to join our energetic team at On-Board Companies in Cambridge, MA.
Growing your career as a Full-Time Bioinformatics Scientist - III (Senior) is an awesome opportunity to develop valuable skills.
If you are strong in presentation, teamwork and have the right mindset for the job, then apply for the position of Bioinformatics Scientist - III (Senior) at On-Board Companies today!

On-Board Scientific is hiring a Bioinformatics Scientist III (Senior) – Remote – PHD Candidates Only!
For immediate consideration please send your resume to [email protected]
Subject Line: Position, Title, and State you are located

About Us:
On-Board Services, Incorporated is an on-site contract service provider for a local manufacturing entity providing full time positions to our employees. We offer benefits as well as 401k.

Position Details:
Position Type: Full Time/ 6-month with a possibility of extension
Job Location: 100% Remote
Benefits: 401K, Medical, Dental, Vision, and Life Insurance
Compensation: $106.65 per hour.
***Please note any candidates considering this opportunity must be available during the Eastern time zone.
Top Skills:

  • This is a specific project that is highly visible.
  • It’s a newer project and the client is doing genome sequencing data.
  • Dragon pipeline from Illumina
  • Quality Check-(QC)
  • Cloud computing cost
  • 250,000 whole genomes
  • Experience with UK biobank data that will also be ideal.
  • Illumina platform is the new platform.
  • Need person who is agile, flexible, and out of the box thinker.
  • Experience with NextFlow is helpful.
  • Ideally something with downstream analysis
  • Statistical genetic analysis with GWAS
  • No travel needed.

Our client is seeking a Bioinformatician/Computational Biologist/Statistical geneticist The Data, AI and Genome Sciences (DAGS) department is currently seeking a bioinformatician/computational biologist/statistical geneticist with extensive expertise in large-scale whole exome/whole genome data analysis to join an energetic team of computational biologists. Their mission in the Early Discovery Genetics group within DAGS is to identify and functionally validate novel targets anchored in human genetics that will enter their company's drug discovery pipeline for therapeutic intervention. They leverage population-scale datasets comprised of genotype/WES/WGS genetics data accompanied by human trait data from electronic health records etc to discover gene-disease associations. Their Research Scientists are their Inventors. They identify and target steps in disease mechanisms or pathways that could be inhibited or enhanced. Their goal is to isolate a compound that is effective against a disease target. Using innovative thinking, state-of-the-art facilities, and robust scientific methodology they collaborate to discover the next medical breakthrough. Their company is a global health care leader with a diversified portfolio of prescription medicines, vaccines, and consumer health products, as well as animal health products. Today, they are building a new kind of healthcare company – one that is ready to help create a healthier future for all of us. Their company is on a quest for cures and is committed to being the world’s premier, most research-intensive biopharmaceutical company. To this end, our company is intentionally at the forefront of applying genetics, genomics, and biological data science to advance breakthrough science and drug development across therapeutic areas. Their ability to excel depends on the integrity, knowledge, imagination, skill, diversity, and teamwork of people like you. To this end, they strive to create an environment of mutual respect, encouragement, and teamwork. As part of our global team, you’ll have the opportunity to collaborate with talented and dedicated colleagues while developing and expanding your career.

Responsibilities:
  • Computational analysis of large-scale WGS data in preparation for GWAS; potential to expand scope to benchmarking GWAS pipelines for downstream analysis.
  • The successful candidate will be intricately involved in the design and execution of human genetic studies to transform discoveries into testable therapeutic hypotheses across Cardiovascular, Immunology, Ophthalmology and Neurosciences diseases areas.
  • Perform large-scale (>50K samples) genotyping data QC on DRAGEN output and population structure testing for downstream association studies, meta-analysis, and fine mapping.
  • Contribute to building, benchmarking, and maintaining bioinformatics pipelines to facilitate high-throughput genomic data analysis in cloud environments.
  • Harmonize and maintain diverse datasets and associated metadata, including performing meta-analyses of data run on multiple platforms and/or externally generated data.
  • Thoughtfully synthesize results into clear presentations (including QQ-plots, Manhattan plots) and concise summaries of work to support recommendations for next steps.
  • In-depth knowledge of genome-wide association studies and interpretation and applied computational research on large multivariate datasets.
  • Expertise in algorithmic implementation, statistical programming and data manipulation, and a wide range of contemporary, open-source bioinformatics tools
  • Proficiency with Bash, Python, Perl, R, C/C++, and/or JAVA
  • Demonstrated ability to proactively remain up to date in current bioinformatics techniques and resources and identify and benchmark novel software solutions against established reference datasets.
  • Experience in constructing practical computational tools/pipelines for data parsing, quality control, modelling, and analysis for large-scale genetic or genomics datasets.

Qualifications:
  • Minimum education: PhD/Doctoral degree from an accredited college/university in bioinformatics, statistics, genetics, computational biology, or related field. Foreign degrees must be evaluated for U.S equivalency.
  • No. of years of experience needed: PHD with 5+ years of experience within academics or industry.
  • Required/Must have skills/techniques: Whole genome data QC from DRAGEN variant calling, in preparation for genetic association testing.
  • Nice to haves/preferred skills/techniques: Experience with NextFlow and adapting pipelines in cloud-based analysis platforms.
  • This position requires extensive experience with large-scale whole exome/genome data including QC, relatedness, population genetic and association analyses, and familiarity with UNIX, Perl/Python, and statistical environments such as R.
  • Software skills: DRAGEN, PLINK, RGENIE.
  • The successful candidate will be team-oriented, with the ability to effectively communicate and thrive in an inclusionary, integrated, and multidisciplinary work environment.
  • Team-oriented with excellent written and verbal communication skills, organizational skills, and attention to detail.

Preferred:
  • Direct experience with DRAGEN variant calling population-scale whole genome data QC and preparedness for downstream genetic association testing.
  • Flexibility in adapting pipelines and scripts for different cloud-based platforms.
  • Experience with NextFlow


Apply Today!
www.onboardusa.com

On-Board was founded in 1976 by Robert L. Wilson to provide Engineering and Design services to the chemical manufacturing industry. Today, On-Board is a thriving privately held family of companies with services including Consulting, Professional Engineering, Industrial Maintenance and Facility Management, Contracted Manufacturing and Production Services, as well as Temporary Staffing and Recruiting throughout North America.

The On-Board Family of Companies conducts operations through its Corporate Headquarters located in East Windsor, NJ along with Regional Offices in New Castle, DE and Wake Forest, NC. On-Board’s Mission is to provide “Flexible Service by applying the talents of our people, work processes and technology to meet our clients’ expectations in a Safe, Responsible and Dependable manner.”

On-Board Companies provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, religion, sex, national origin, age, disability, or genetics.

24-00966
INDOJ


Benefits of working as a Bioinformatics Scientist - III (Senior) in Cambridge, MA:


● Opportunity to Make a Difference
● Company offers career progression opportunities
● Advantageous package
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