Job Information
ManpowerGroup Bioinformatics Scientist - III (Senior) in Cambridge, Massachusetts
Job Title: Bioinformatics Scientist - III (Senior)
Duration: 6 Month Contract. Possibility of extension after 6 months.
Location: 320 Bent St 4th Floor, Cambridge, MA 02141 - Remote option available.
Hours: M-F 8:00am - 5:00pm
Pay Rate: $100.56/hr. (40% Markup)
Note: Looking for a contractor to assist with some computational analysis of large scale (>10K samples) human whole genome sequencing data in preparation for genetic association analysis, to be performed in an AWS platform.
Need someone who is currently working in the field.
Do not submit candidates with long gaps, jumpy job history.
Need PHD candidates only.
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. • Ability to obtain and maintain a security clearance.
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 NextFlo
Responsibilities: 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.
Our mission in the Early Discovery Genetics group within DAGS is to identify and functionally validate novel targets anchored in human genetics that will enter our company's drug discovery pipeline for therapeutic intervention. ,
We 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.
Our Research Scientists are our Inventors. We identify and target steps in disease mechanisms or pathways that could be inhibited or enhanced. Our 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 we collaborate to discover the next medical breakthrough.
Our 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, we are building a new kind of healthcare company – one that is ready to help create a healthier future for all of us. Our 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.
Our ability to excel depends on the integrity, knowledge, imagination, skill, diversity, and teamwork of people like you.
To this end, we 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.
KEY ROLES/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.
If this is a role that interests you and you’d like to learn more, click apply now and a recruiter will be in touch with you to discuss this great opportunity. We look forward to speaking with you!
About ManpowerGroup, Parent Company of: Manpower, Experis, Talent Solutions, and Jefferson Wells
ManpowerGroup® (NYSE: MAN), the leading global workforce solutions company, helps organizations transform in a fast-changing world of work by sourcing, assessing, developing, and managing the talent that enables them to win. We develop innovative solutions for hundreds of thousands of organizations every year, providing them with skilled talent while finding meaningful, sustainable employment for millions of people across a wide range of industries and skills. Our expert family of brands – Manpower, Experis, Talent Solutions, and Jefferson Wells – creates substantial value for candidates and clients across more than 75 countries and territories and has done so for over 70 years. We are recognized consistently for our diversity - as a best place to work for Women, Inclusion, Equality and Disability and in 2022 ManpowerGroup was named one of the World's Most Ethical Companies for the 13th year - all confirming our position as the brand of choice for in-demand talent.
ManpowerGroup is committed to providing equal employment opportunities in a professional, high quality work environment. It is the policy of ManpowerGroup and all of its subsidiaries to recruit, train, promote, transfer, pay and take all employment actions without regard to an employee's race, color, national origin, ancestry, sex, sexual orientation, gender identity, genetic information, religion, age, disability, protected veteran status, or any other basis protected by applicable law.