Senior Bioinformatics Scientist Cambridge, MA Or Remote 6 months
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 NextFlow
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.
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.
About Us: Established in 2004, SPECTRAFORCE® is one of the largest and fastest-growing diversity-owned staffing firms in the US. The growth of our company is a direct result of our global client service delivery model that is powered by our state-of-the-art A.I. proprietary talent acquisition platform, robust ISO 9001:2015/ISO 27001 certified processes, and strong and passionate client engaged teams. We have built our business by providing talent and project-based solutions, including Contingent, Permanent, and Statement of Work (SOW) services to over 140 clients in the US, Canada, Puerto Rico, Costa Rica, and India. Key industries that we service include Technology, Financial Services, Life Sciences, Healthcare, Telecom, Retail, Utilities and Transportation. SPECTRAFORCE is built on a concept of “human connection,” defined by our branding attitude of NEWJOBPHORIA®, which is the excitement of bringing joy and freedom to the work lifestyle so our people and clients can reach their highest potential. Learn more at: http://www.spectraforce.com
Benefits: SPECTRAFORCE offers ACA compliant health benefits as well as dental, vision, accident, critical illness, voluntary life, and hospital indemnity insurances to eligible employees. Additional benefits offered to eligible employees include commuter benefits, 401K plan with matching, and a referral bonus program. SPECTRAFORCE provides unpaid leave as well as paid sick leave when required by law.
Equal Opportunity Employer: SPECTRAFORCE is an equal opportunity employer and does not discriminate against any employee or applicant for employment because of race, religion, color, sex, national origin, age, sexual orientation, gender identity, genetic information, disability or veteran status, or any other category protected by applicable federal, state, or local laws. Please contact Human Resources at LOA@spectraforce.com if you require reasonable accommodation. At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws. This position’s starting pay is: $80.00/hr.
